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Information about randomized display orders

This survey includes many randomizations - both in explicitly designed experiments and in order to avoid and detect ordering effects. In each section of the following overview, first descriptive statistics will be presented for the contextual variables followed by a table-style overview of randomization variables. These include:

  1. Variables starting with “io_” denote the displayed item order within a larger answer matrix underneath a single question.
  2. Variables starting with “qo_” denote the displayed question order within a question block.
  3. Variables starting with “bo_” denote the displayed block order within the overall survey flow.
  4. Additional contextual randomizations (e.g. within question phrasing) are explained explicitly within their respective section.

Note, that generally the presented descriptive data is the average over all randomizations. For some select, relevant cases, we also present the descriptive data for the singular randomization conditions.

General Items

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
attentioncheck [labelled, factor] Attention Check
To what extent do you agree or disagree with the following statement? 2 + 2 = 5
1. Failed
2. Passed
101(8.6%)
1074(91.4%)
1175 (100.0%)
suspicious [labelled, numeric] Logical Inconsistencies
This variable records the number of logical inconsistencies a respondent reported in the survey
Min : 0
Mean : 0
Max : 1
0:1172(99.7%)
1:3(0.3%)
1175 (100.0%)
duration [labelled, numeric] Survey Duration (in seconds)
Mean (sd) : 1884.9 (4672.2)
min ≤ med ≤ max:
273 ≤ 1212 ≤ 85558
IQR (CV) : 772 (2.5)
889 distinct values 1175 (100.0%)
  • start denotes date and time the respondent started the survey
  • end denotes date and time the respondent finished the survey

Experiment: Tolerance on the Internet

Descriptive Overview

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
tol_whiteracist_post [labelled, factor] Allowed to Post: White Racist
Some say it is important to protect free speech in social media and the internet (e.g. Facebook). Others say it is important to protect people in social media and the internet from insulting and dangerous content.
Please imagine a person who thinks that all white people behave racist in day-to-day life.
If this person publishes a post on social media (on the internet), in which he / she claims that all white people behave racist in day-to-day life: Should he / she be allowed to post this or not?
1. Not Allowed
2. Allowed
3. Don't Know
289(51.4%)
215(38.3%)
58(10.3%)
562 (47.8%)
tol_whiteracist_delete [labelled, factor] Delete Post: White Racist
If other users were to report this person to the operator of the social media platform and would demand the post to be deleted: Would you be in favour of or against deleting the post?
1. Delete
2. Don't Delete
3. Don't Know
306(54.3%)
191(33.9%)
67(11.9%)
564 (48.0%)
tol_whiteracist_ban [labelled, factor] Ban Poster: White Racist
If the operator of the social media platform decided to permanently ban the described person from the platform: Would you be in favour of or against such a permanent ban?
1. Ban
2. No Ban
3. Don't Know
184(32.6%)
295(52.3%)
85(15.1%)
564 (48.0%)
tol_ethnic_post [labelled, factor] Allowed to Post: Ethnic
Some say it is important to protect free speech in social media and the internet (e.g. Facebook). Others say it is important to protect people in social media and the internet from insulting and dangerous content.
Please imagine a person who thinks that some ethnic grouüs are naturally less intelligent than others.
If this person publishes a post on social media (on the internet), in which he / she claims that some ethnic groups are naturally less intelligent than others: Should he / she be allowed to post this or not?
1. Not Allowed
2. Allowed
3. Don't Know
332(58.7%)
183(32.3%)
51(9.0%)
566 (48.2%)
tol_ethnic_delete [labelled, factor] Delete Post: Ethnic
If other users were to report this person to the operator of the social media platform and would demand the post to be deleted: Would you be in favour of or against deleting the post?
1. Delete
2. Don't Delete
3. Don't Know
355(62.7%)
163(28.8%)
48(8.5%)
566 (48.2%)
tol_ethnic_ban [labelled, factor] Ban Poster: Ethnic
If the operator of the social media platform decided to permanently ban the described person from the platform: Would you be in favour of or against such a permanent ban?
1. Ban
2. No Ban
3. Don't Know
202(35.7%)
287(50.7%)
77(13.6%)
566 (48.2%)
tol_borders_post [labelled, factor] Allowed to Post: Borders
Some say it is important to protect free speech in social media and the internet (e.g. Facebook). Others say it is important to protect people in social media and the internet from insulting and dangerous content.
Please imagine a person who thinks that all borders and nationstates should be abolished.
If this person publishes a post on social media (on the internet), in which he / she claims that all borders and nationstates should be abolished: Should he / she be allowed to post this or not?
1. Not Allowed
2. Allowed
3. Don't Know
101(17.5%)
418(72.4%)
58(10.1%)
577 (49.1%)
tol_borders_delete [labelled, factor] Delete Post: Borders
If other users were to report this person to the operator of the social media platform and would demand the post to be deleted: Would you be in favour of or against deleting the post?
1. Delete
2. Don't Delete
3. Don't Know
115(19.9%)
394(68.3%)
68(11.8%)
577 (49.1%)
tol_borders_ban [labelled, factor] Ban Poster: Borders
If the operator of the social media platform decided to permanently ban the described person from the platform: Would you be in favour of or against such a permanent ban?
1. Ban
2. No Ban
3. Don't Know
80(13.9%)
430(74.5%)
67(11.6%)
577 (49.1%)
tol_immigration_post [labelled, factor] Allowed to Post: Immigration
Some say it is important to protect free speech in social media and the internet (e.g. Facebook). Others say it is important to protect people in social media and the internet from insulting and dangerous content.
Please imagine a person who thinks that all forms of immigration into Germany should be stopped.
If this person publishes a post on social media (on the internet), in which he / she claims that all forms of immigration into Germany should be stopped: Should he / she be allowed to post this or not?
1. Not Allowed
2. Allowed
3. Don't Know
133(22.5%)
408(68.9%)
51(8.6%)
592 (50.4%)
tol_immigration_delete [labelled, factor] Delete Post: Immigration
If other users were to report this person to the operator of the social media platform and would demand the post to be deleted: Would you be in favour of or against deleting the post?
1. Delete
2. Don't Delete
3. Don't Know
161(27.2%)
364(61.5%)
67(11.3%)
592 (50.4%)
tol_immigration_ban [labelled, factor] Ban Poster: Immigration
If the operator of the social media platform decided to permanently ban the described person from the platform: Would you be in favour of or against such a permanent ban?
1. Ban
2. No Ban
3. Don't Know
98(16.6%)
420(70.9%)
74(12.5%)
592 (50.4%)
tol_sexability_post [labelled, factor] Allowed to Post: Sex Ability
Some say it is important to protect free speech in social media and the internet (e.g. Facebook). Others say it is important to protect people in social media and the internet from insulting and dangerous content.
Please imagine a person who thinks that differences in the abilities of men and women are biologically predisposed.
If this person publishes a post on social media (on the internet), in which he / she claims that differences in the abilities of men and women are biologically predisposed: Should he / she be allowed to post this or not?
1. Not Allowed
2. Allowed
3. Don't Know
88(14.8%)
446(74.8%)
62(10.4%)
596 (50.7%)
tol_sexability_delete [labelled, factor] Delete Post: Sex Ability
If other users were to report this person to the operator of the social media platform and would demand the post to be deleted: Would you be in favour of or against deleting the post?
1. Delete
2. Don't Delete
3. Don't Know
100(16.8%)
417(70.0%)
79(13.3%)
596 (50.7%)
tol_sexability_ban [labelled, factor] Ban Poster: Sex Ability
If the operator of the social media platform decided to permanently ban the described person from the platform: Would you be in favour of or against such a permanent ban?
1. Ban
2. No Ban
3. Don't Know
54(9.1%)
464(77.9%)
78(13.1%)
596 (50.7%)
tol_gender_post [labelled, factor] Allowed to Post: Gender
Some say it is important to protect free speech in social media and the internet (e.g. Facebook). Others say it is important to protect people in social media and the internet from insulting and dangerous content.
Please imagine a person who thinks that the gender of a person is not innate, but autonomosly chosen.
If this person publishes a post on social media (on the internet), in which he / she claims that the gender of a person is not innate, but autonomosly chosen: Should he / she be allowed to post this or not?
1. Not Allowed
2. Allowed
3. Don't Know
97(16.6%)
428(73.3%)
59(10.1%)
584 (49.7%)
tol_gender_delete [labelled, factor] Delete Post: Gender
If other users were to report this person to the operator of the social media platform and would demand the post to be deleted: Would you be in favour of or against deleting the post?
1. Delete
2. Don't Delete
3. Don't Know
120(20.5%)
393(67.2%)
72(12.3%)
585 (49.8%)
tol_gender_ban [labelled, factor] Ban Poster: Gender
If the operator of the social media platform decided to permanently ban the described person from the platform: Would you be in favour of or against such a permanent ban?
1. Ban
2. No Ban
3. Don't Know
68(11.6%)
452(77.3%)
65(11.1%)
585 (49.8%)
tol_climademo_post [labelled, factor] Allowed to Post: Climate & Democracy
Some say it is important to protect free speech in social media and the internet (e.g. Facebook). Others say it is important to protect people in social media and the internet from insulting and dangerous content.
Please imagine a person who thinks that it is more important to save the climate, than to protect democracy.
If this person publishes a post on social media (on the internet), in which he / she claims that it is more important to save the climate, than to protect democracy: Should he / she be allowed to post this or not?
1. Not Allowed
2. Allowed
3. Don't Know
123(20.2%)
404(66.3%)
82(13.5%)
609 (51.8%)
tol_climademo_delete [labelled, factor] Delete Post: Climate & Democracy
If other users were to report this person to the operator of the social media platform and would demand the post to be deleted: Would you be in favour of or against deleting the post?
1. Delete
2. Don't Delete
3. Don't Know
145(23.8%)
380(62.4%)
84(13.8%)
609 (51.8%)
tol_climademo_ban [labelled, factor] Ban Poster: Climate & Democracy
If the operator of the social media platform decided to permanently ban the described person from the platform: Would you be in favour of or against such a permanent ban?
1. Ban
2. No Ban
3. Don't Know
84(13.8%)
442(72.6%)
83(13.6%)
609 (51.8%)
tol_climameasure_post [labelled, factor] Allowed to Post: Climate Measures
Some say it is important to protect free speech in social media and the internet (e.g. Facebook). Others say it is important to protect people in social media and the internet from insulting and dangerous content.
Please imagine a person who thinks that the measures against climate change are more harmful than climate change itself.
If this person publishes a post on social media (on the internet), in which he / she claims that the measures against climate change are more harmful than climate change itself: Should he / she be allowed to post this or not?
1. Not Allowed
2. Allowed
3. Don't Know
124(20.3%)
434(71.0%)
53(8.7%)
611 (52.0%)
tol_climameasure_delete [labelled, factor] Delete Post: Climate Measures
If other users were to report this person to the operator of the social media platform and would demand the post to be deleted: Would you be in favour of or against deleting the post?
1. Delete
2. Don't Delete
3. Don't Know
155(25.4%)
378(61.9%)
78(12.8%)
611 (52.0%)
tol_climameasure_ban [labelled, factor] Ban Poster: Climate Measures
If the operator of the social media platform decided to permanently ban the described person from the platform: Would you be in favour of or against such a permanent ban?
1. Ban
2. No Ban
3. Don't Know
87(14.2%)
448(73.3%)
76(12.4%)
611 (52.0%)

Randomization Variables

Note: Every respondent got presented four out of the ten available statements. For all other statements, respondents have the Value ‘NA’. Unfortunately, it is not recorded in which order the statements were presented.

Internet & Social Media

Descriptive Overview

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
internetuse [labelled, numeric] Internet Use Hours
What would you say: How many hours a day on average do you use the internet for private purposes, so outside of your work context?
0 = Never; 1-7 = Under [1-7] Hours; 8 = Over 7 Hours
Mean (sd) : 3.3 (1.7)
min ≤ med ≤ max:
0 ≤ 3 ≤ 8
IQR (CV) : 2 (0.5)
0:5(0.4%)
1:101(8.6%)
2:359(30.6%)
3:309(26.3%)
4:176(15.0%)
5:95(8.1%)
6:56(4.8%)
7:22(1.9%)
8:52(4.4%)
1175 (100.0%)
sm_whatsapp [labelled, numeric] Social Media Use: WhatsApp
Now the questions will focus on the usage of social media . Please indicate on how many days per week you usually use the following social media networks.
WhatsApp
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1
Mean (sd) : 4.9 (2.8)
min ≤ med ≤ max:
0 ≤ 7 ≤ 7
IQR (CV) : 5 (0.6)
0:209(17.9%)
1:45(3.8%)
2:41(3.5%)
3:67(5.7%)
4:40(3.4%)
5:47(4.0%)
6:53(4.5%)
7:668(57.1%)
1170 (99.6%)
sm_facebook [labelled, numeric] Social Media Use: Facebook
Now the questions will focus on the usage of social media . Please indicate on how many days per week you usually use the following social media networks.
Facebook
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1
Mean (sd) : 2.7 (3)
min ≤ med ≤ max:
0 ≤ 1 ≤ 7
IQR (CV) : 7 (1.1)
0:516(44.1%)
1:112(9.6%)
2:55(4.7%)
3:60(5.1%)
4:36(3.1%)
5:53(4.5%)
6:44(3.8%)
7:294(25.1%)
1170 (99.6%)
sm_instagram [labelled, numeric] Social Media Use: Instagram
Now the questions will focus on the usage of social media . Please indicate on how many days per week you usually use the following social media networks.
Instagram
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1
Mean (sd) : 1.8 (2.7)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 3 (1.5)
0:730(62.4%)
1:63(5.4%)
2:46(3.9%)
3:43(3.7%)
4:33(2.8%)
5:38(3.2%)
6:29(2.5%)
7:188(16.1%)
1170 (99.6%)
sm_youtube [labelled, numeric] Social Media Use: YouTube
Now the questions will focus on the usage of social media . Please indicate on how many days per week you usually use the following social media networks.
YouTube
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1
Mean (sd) : 2.8 (2.6)
min ≤ med ≤ max:
0 ≤ 2 ≤ 7
IQR (CV) : 4 (0.9)
0:292(25.0%)
1:224(19.1%)
2:137(11.7%)
3:111(9.5%)
4:69(5.9%)
5:90(7.7%)
6:53(4.5%)
7:194(16.6%)
1170 (99.6%)
sm_twitter [labelled, numeric] Social Media Use: Twitter
Now the questions will focus on the usage of social media . Please indicate on how many days per week you usually use the following social media networks.
Twitter
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1
Mean (sd) : 0.8 (1.9)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 0 (2.3)
0:926(79.1%)
1:49(4.2%)
2:34(2.9%)
3:41(3.5%)
4:24(2.1%)
5:16(1.4%)
6:14(1.2%)
7:66(5.6%)
1170 (99.6%)
sm_snapchat [labelled, numeric] Social Media Use: Snapchat
Now the questions will focus on the usage of social media . Please indicate on how many days per week you usually use the following social media networks.
Snapchat
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1
Mean (sd) : 0.4 (1.4)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 0 (3.3)
0:1029(87.9%)
1:42(3.6%)
2:18(1.5%)
3:20(1.7%)
4:14(1.2%)
5:13(1.1%)
6:8(0.7%)
7:26(2.2%)
1170 (99.6%)
sm_tiktok [labelled, numeric] Social Media Use: TikTok
Now the questions will focus on the usage of social media . Please indicate on how many days per week you usually use the following social media networks.
TikTok
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1
Mean (sd) : 0.8 (1.9)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 0 (2.4)
0:943(80.6%)
1:47(4.0%)
2:28(2.4%)
3:30(2.6%)
4:21(1.8%)
5:17(1.5%)
6:19(1.6%)
7:65(5.6%)
1170 (99.6%)
sm_telegram [labelled, numeric] Social Media Use: Telegram
Now the questions will focus on the usage of social media . Please indicate on how many days per week you usually use the following social media networks.
Telegram
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1
Mean (sd) : 0.7 (1.8)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 0 (2.6)
0:977(83.5%)
1:39(3.3%)
2:23(2.0%)
3:21(1.8%)
4:20(1.7%)
5:24(2.1%)
6:8(0.7%)
7:58(5.0%)
1170 (99.6%)
sm_signal [labelled, numeric] Social Media Use: Signal
Now the questions will focus on the usage of social media . Please indicate on how many days per week you usually use the following social media networks.
Signal
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1
Mean (sd) : 0.4 (1.4)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 0 (3.3)
0:1026(87.7%)
1:45(3.8%)
2:24(2.1%)
3:20(1.7%)
4:8(0.7%)
5:15(1.3%)
6:3(0.3%)
7:29(2.5%)
1170 (99.6%)
sm_pol_whatsapp [labelled, numeric] Social Media Use (Political): WhatsApp
And on how many days per week do you usually use the following social media networks explicitly to get politically informed?
WhatsApp
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1 & sm_whatsapp != 1
Mean (sd) : 1.7 (2.7)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 3 (1.6)
0:634(66.0%)
1:42(4.4%)
2:36(3.7%)
3:33(3.4%)
4:21(2.2%)
5:22(2.3%)
6:17(1.8%)
7:156(16.2%)
961 (81.8%)
sm_pol_facebook [labelled, numeric] Social Media Use (Political): Facebook
And on how many days per week do you usually use the following social media networks explicitly to get politically informed?
Facebook
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1 & sm_facebook != 1
Mean (sd) : 2.1 (2.7)
min ≤ med ≤ max:
0 ≤ 1 ≤ 7
IQR (CV) : 4 (1.3)
0:316(48.3%)
1:66(10.1%)
2:57(8.7%)
3:40(6.1%)
4:27(4.1%)
5:18(2.8%)
6:18(2.8%)
7:112(17.1%)
654 (55.7%)
sm_pol_instagram [labelled, numeric] Social Media Use (Political): Instagram
And on how many days per week do you usually use the following social media networks explicitly to get politically informed?
Instagram
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1 & sm_instagram != 1
Mean (sd) : 1.8 (2.5)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 3 (1.3)
0:232(52.7%)
1:40(9.1%)
2:32(7.3%)
3:29(6.6%)
4:24(5.5%)
5:27(6.1%)
6:8(1.8%)
7:48(10.9%)
440 (37.4%)
sm_pol_youtube [labelled, numeric] Social Media Use (Political): YouTube
And on how many days per week do you usually use the following social media networks explicitly to get politically informed?
YouTube
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1 & sm_youtube != 1
Mean (sd) : 1.7 (2.4)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 3 (1.4)
0:463(52.7%)
1:98(11.2%)
2:68(7.7%)
3:60(6.8%)
4:45(5.1%)
5:35(4.0%)
6:20(2.3%)
7:89(10.1%)
878 (74.7%)
sm_pol_twitter [labelled, numeric] Social Media Use (Political): Twitter
And on how many days per week do you usually use the following social media networks explicitly to get politically informed?
Twitter
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1 & sm_twitter != 1
Mean (sd) : 2.7 (2.6)
min ≤ med ≤ max:
0 ≤ 2 ≤ 7
IQR (CV) : 5 (0.9)
0:68(27.9%)
1:39(16.0%)
2:22(9.0%)
3:33(13.5%)
4:16(6.6%)
5:12(4.9%)
6:14(5.7%)
7:40(16.4%)
244 (20.8%)
sm_pol_snapchat [labelled, numeric] Social Media Use (Political): Snapchat
And on how many days per week do you usually use the following social media networks explicitly to get politically informed?
Snapchat
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1 & sm_snapchat != 1
Mean (sd) : 1.9 (2.3)
min ≤ med ≤ max:
0 ≤ 1 ≤ 7
IQR (CV) : 3 (1.2)
0:66(46.8%)
1:14(9.9%)
2:10(7.1%)
3:18(12.8%)
4:9(6.4%)
5:7(5.0%)
6:7(5.0%)
7:10(7.1%)
141 (12.0%)
sm_pol_tiktok [labelled, numeric] Social Media Use (Political): TikTok
And on how many days per week do you usually use the following social media networks explicitly to get politically informed?
TikTok
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1 & sm_tiktok != 1
Mean (sd) : 2.1 (2.5)
min ≤ med ≤ max:
0 ≤ 1 ≤ 7
IQR (CV) : 4 (1.2)
0:105(46.3%)
1:24(10.6%)
2:16(7.0%)
3:20(8.8%)
4:14(6.2%)
5:13(5.7%)
6:10(4.4%)
7:25(11.0%)
227 (19.3%)
sm_pol_telegram [labelled, numeric] Social Media Use (Political): Telegram
And on how many days per week do you usually use the following social media networks explicitly to get politically informed?
Telegram
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1 & sm_telegram != 1
Mean (sd) : 2.4 (2.7)
min ≤ med ≤ max:
0 ≤ 1 ≤ 7
IQR (CV) : 5 (1.1)
0:83(43.0%)
1:19(9.8%)
2:12(6.2%)
3:20(10.4%)
4:9(4.7%)
5:11(5.7%)
6:4(2.1%)
7:35(18.1%)
193 (16.4%)
sm_pol_signal [labelled, numeric] Social Media Use (Political): Signal
And on how many days per week do you usually use the following social media networks explicitly to get politically informed?
Signal
1 = 0 days (never); 8 = 7 days (daily)
Filter: internetuse != 1 & sm_signal != 1
Mean (sd) : 1.2 (2)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 2 (1.6)
0:88(61.1%)
1:14(9.7%)
2:12(8.3%)
3:11(7.6%)
4:6(4.2%)
5:3(2.1%)
6:5(3.5%)
7:5(3.5%)
144 (12.3%)
sm_dis_strongsfs [labelled, factor] Social Media Discussions: Freedom of Speech
You can see a few statements about social media below. Please indicate for each statement, to what extent you generally agree or disagree with said statement.
Social media strengthens freedom of speech.
1 = Disagree; 4 = Agree
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
172(14.6%)
343(29.2%)
517(44.0%)
143(12.2%)
1175 (100.0%)
sm_dis_constructive [labelled, factor] Social Media Discussions: Constructive
You can see a few statements about social media below. Please indicate for each statement, to what extent you generally agree or disagree with said statement.
On social media, differing opinions are constructively discussed.
1 = Disagree; 4 = Agree
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
225(19.1%)
479(40.8%)
385(32.8%)
86(7.3%)
1175 (100.0%)
sm_dis_unfriendly [labelled, factor] Social Media Discussions: Unfriendly
You can see a few statements about social media below. Please indicate for each statement, to what extent you generally agree or disagree with said statement.
Discussions on social media are usually less friendly than in real life.
1 = Disagree; 4 = Agree
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
49(4.2%)
164(14.0%)
499(42.5%)
463(39.4%)
1175 (100.0%)
sm_dis_neutral [labelled, factor] Social Media Discussions: Neutral
You can see a few statements about social media below. Please indicate for each statement, to what extent you generally agree or disagree with said statement.
Social media is a more neutral source of information than traditional media.
1 = Disagree; 4 = Agree
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
499(42.5%)
380(32.3%)
214(18.2%)
82(7.0%)
1175 (100.0%)
sm_dis_hatespeech [labelled, factor] Social Media Discussions: Hate Speech
You can see a few statements about social media below. Please indicate for each statement, to what extent you generally agree or disagree with said statement.
Social media increases the spread of misinformation and hate speech.
1 = Disagree; 4 = Agree
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
49(4.2%)
150(12.8%)
498(42.4%)
478(40.7%)
1175 (100.0%)
sm_exp_insulted [labelled, factor] Social Media Experiences: Insulted
Now it is about your personal experiences with social media. We want to know, which of the following things you have experienced already. Please choose all statements that fit your experiences.
I have been personally insulted by another user.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
892(81.5%)
203(18.5%)
1095 (93.2%)
sm_exp_reported [labelled, factor] Social Media Experiences: Reported
Now it is about your personal experiences with social media. We want to know, which of the following things you have experienced already. Please choose all statements that fit your experiences.
I have been reported by another user.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
1031(94.2%)
64(5.8%)
1095 (93.2%)
sm_exp_deleted [labelled, factor] Social Media Experiences: Deleted
Now it is about your personal experiences with social media. We want to know, which of the following things you have experienced already. Please choose all statements that fit your experiences.
One of my posts has been deleted by the operator of a platform.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
1012(92.4%)
83(7.6%)
1095 (93.2%)
sm_exp_blocked [labelled, factor] Social Media Experiences: Blocked
Now it is about your personal experiences with social media. We want to know, which of the following things you have experienced already. Please choose all statements that fit your experiences.
I have been blocked by another user.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
915(83.6%)
180(16.4%)
1095 (93.2%)
sm_exp_banned [labelled, factor] Social Media Experiences: Banned
Now it is about your personal experiences with social media. We want to know, which of the following things you have experienced already. Please choose all statements that fit your experiences.
I have been permanently banned from a platform by the operator.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
1078(98.4%)
17(1.6%)
1095 (93.2%)
sm_exp_none [labelled, factor] Social Media Experiences: None
Now it is about your personal experiences with social media. We want to know, which of the following things you have experienced already. Please choose all statements that fit your experiences.
I experienced none of the above.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
339(31.0%)
756(69.0%)
1095 (93.2%)
sm_act_insulting [labelled, factor] Social Media Actions: Insulting
Now it is about your personal experiences with social media. We want to know, which of the following things you have done already yourself. Please choose all statements that fit your experiences.
I have personally insulted another user.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
1063(97.1%)
32(2.9%)
1095 (93.2%)
sm_act_reporting [labelled, factor] Social Media Actions: Reporting
Now it is about your personal experiences with social media. We want to know, which of the following things you have done already yourself. Please choose all statements that fit your experiences.
I have reported another user.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
897(81.9%)
198(18.1%)
1095 (93.2%)
sm_act_blocking [labelled, factor] Social Media Actions: Blocking
Now it is about your personal experiences with social media. We want to know, which of the following things you have done already yourself. Please choose all statements that fit your experiences.
I have blocked another user.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
738(67.4%)
357(32.6%)
1095 (93.2%)
sm_act_none [labelled, factor] Social Media Actions: None
Now it is about your personal experiences with social media. We want to know, which of the following things you have done already yourself. Please choose all statements that fit your experiences.
I did none of the above.
Filter: internetuse != 1 & at least one social media platform is used (sm_* > 1)
1. No
2. Yes
417(38.1%)
678(61.9%)
1095 (93.2%)

Randomization Variables

Variables Meaning
SOCIAL MEDIA USAGE
io_sm_whatsapp Placement of ‘sm_whatsapp’ in ‘Social Media Use’ question matrix
io_sm_facebook Placement of ‘sm_facebook’ in ‘Social Media Use’ question matrix
io_sm_instagram Placement of ‘sm_instagram’ in ‘Social Media Use’ question matrix
io_sm_youtube Placement of ‘sm_youtube’ in ‘Social Media Use’ question matrix
io_sm_twitter Placement of ‘sm_twitter’ in ‘Social Media Use’ question matrix
io_sm_snapchat Placement of ‘sm_snapchat’ in ‘Social Media Use’ question matrix
io_sm_tiktok Placement of ‘sm_tiktok’ in ‘Social Media Use’ question matrix
io_sm_telegram Placement of ‘sm_telegram’ in ‘Social Media Use’ question matrix
io_sm_signal Placement of ‘sm_signal’ in ‘Social Media Use’ question matrix
SOCIAL MEDIA USAGE: POLITICAL
io_sm_pol_whatsapp Placement of ‘sm_pol_whatsapp’ in ‘Social Media Use: Political’ question matrix
io_sm_pol_facebook Placement of ‘sm_pol_facebook’ in ‘Social Media Use: Political’ question matrix
io_sm_pol_instagram Placement of ‘sm_pol_instagram’ in ‘Social Media Use: Political’ question matrix
io_sm_pol_youtube Placement of ‘sm_pol_youtube’ in ‘Social Media Use: Political’ question matrix
io_sm_pol_twitter Placement of ‘sm_pol_twitter’ in ‘Social Media Use: Political’ question matrix
io_sm_pol_snapchat Placement of ‘sm_pol_snapchat’ in ‘Social Media Use: Political’ question matrix
io_sm_pol_tiktok Placement of ‘sm_pol_tiktok’ in ‘Social Media Use: Political’ question matrix
io_sm_pol_telegram Placement of ‘sm_pol_telegram’ in ‘Social Media Use: Political’ question matrix
io_sm_pol_signal Placement of ‘sm_pol_signal’ in ‘Social Media Use: Political’ question matrix
SOCIAL MEDIA: DISCUSSIONS
io_sm_dis_strongsfs Placement of ‘sm_dis_strongsfs’ in ‘Social Media: Discussions’ question matrix
io_sm_dis_constructive Placement of ‘sm_dis_constructive’ in ‘Social Media: Discussions’ question matrix
io_sm_dis_unfriendly Placement of ‘sm_dis_unfriendly’ in ‘Social Media: Discussions’ question matrix
io_sm_dis_neutral Placement of ‘sm_dis_neutral’ in ‘Social Media: Discussions’ question matrix
io_sm_dis_hatespeech Placement of ‘sm_dis_hatespeech’ in ‘Social Media: Discussions’ question matrix
ORDER: SOCIAL MEDIA EXPERIENCES & ACTIONS
qo_sm_exp Placement of ‘Social Media Experiences’ question matrix in ‘Social Media’ block
qo_sm_act Placement of ‘Social Media Actions’ question matrix in ‘Social Media’ block

List Experiment: Self-Censorship

Descriptive Overview

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
listex_dir_climate [labelled, factor] List Ex Direct (Extreme): Climate
Do you agree with the following statements or not?
Saving the climate is more important than protecting democracy.
1. Disagree
2. Agree
898(76.4%)
277(23.6%)
1175 (100.0%)
listex_dir_equality [labelled, factor] List Ex Direct (Extreme): Equality
Do you agree with the following statements or not?
Differences in the abilities of men and women are biologically predisposed.
1. Disagree
2. Agree
486(41.4%)
689(58.6%)
1175 (100.0%)
listex_dir_racism [labelled, factor] List Ex Direct (Extreme): Racism
Do you agree with the following statements or not?
Some ethnic groups are inherently less intelligent than others.
1. Disagree
2. Agree
922(78.5%)
253(21.5%)
1175 (100.0%)
listex_1 [labelled, numeric] Censorship List 1
Here are some statements which one can agree or disagree with. Please tell us how many of these statements you would agree with. Please do not tell us which ones you exactly agree with, just with how many.
Value indicates the amount of items agreed with from the list
Mean (sd) : 1.8 (0.9)
min ≤ med ≤ max:
0 ≤ 2 ≤ 4
IQR (CV) : 1 (0.5)
0:73(6.2%)
1:337(28.7%)
2:528(44.9%)
3:189(16.1%)
4:48(4.1%)
1175 (100.0%)
listex_2 [labelled, numeric] Censorsip List 2
Here are some statements which one can agree or disagree with. Please tell us how many of these statements you would agree with. Please do not tell us which ones you exactly agree with, just with how many.
Value indicates the amount of items agreed with from the list
Mean (sd) : 1.8 (0.9)
min ≤ med ≤ max:
0 ≤ 2 ≤ 4
IQR (CV) : 1 (0.5)
0:86(7.3%)
1:325(27.7%)
2:534(45.4%)
3:200(17.0%)
4:30(2.6%)
1175 (100.0%)
listex_3 [labelled, numeric] Censorship List 3
Here are some statements which one can agree or disagree with. Please tell us how many of these statements you would agree with. Please do not tell us which ones you exactly agree with, just with how many.
Value indicates the amount of items agreed with from the list
Mean (sd) : 1.2 (0.9)
min ≤ med ≤ max:
0 ≤ 1 ≤ 4
IQR (CV) : 2 (0.8)
0:324(27.6%)
1:439(37.4%)
2:321(27.3%)
3:75(6.4%)
4:16(1.4%)
1175 (100.0%)

Randomization Variables

Variables Meaning
DIRECT QUESTIONING
io_listex_direct_equality Placement of ‘listex_direct_equality’ in ‘Direct List Experiment’ question matrix
io_listex_direct_racism Placement of ‘listex_direct_racism’ in ‘Direct List Experiment’ question matrix
io_listex_direct_climate Placement of ‘listex_direct_climate’ in ‘Direct List Experiment’ question matrix
EXPERIMENT COMPOSITION
listex_sens1 First selected sensitive item
listex_sens2 Second selected sensitive item
listex1 Whether the first item list was used as control or presented with treatment (i.e. including a sensitive item)
listex2 Whether the second item list was used as control or presented with treatment (i.e. including a sensitive item)
listex3 Whether the third item list was used as control or presented with treatment (i.e. including a sensitive item)
io_listex_c1_income Placement of ‘income’ statement in ‘Control Set 1’
io_listex_c1_eu Placement of ‘eu’ statement in ‘Control Set 1’
io_listex_c1_covid Placement of ‘covid’ statement in ‘Control Set 1’
io_listex_c1_sens Placement of randomized sensitive statement in ‘Control Set 1’ (if applicable)
io_listex_c2_referendum Placement of ‘referendum’statement in ’Control Set 2’
io_listex_c2_rent Placement of ‘rent’ statement in ‘Control Set 2’
io_listex_c2_economy Placement of ‘economy’ statement in ‘Control Set 2’
io_listex_c2_sens Placement of randomized sensitive statement in ‘Control Set 2’ (if applicable)
io_listex_c3_manager Placement of ‘manager’statement in ’Control Set 3’
io_listex_c3_örr Placement of ‘public broadcasting’ statement in ‘Control Set 3’
io_listex_c3_meat Placement of ‘meat consumption’ statement in ‘Control Set 3’
io_listex_c3_sens Placement of randomized sensitive statement in ‘Control Set 3’ (if applicable)

Note: Due to a coding error, ‘listex_sens1’ was always only presented with the first and second set of control items, and ‘listex_sens2’ only with the third set of control item.

Sanctions

Descriptive Overview

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
sancclaprob_job [labelled, numeric] Sanctions Classic Probability: Job
If you speak freely what you really think: How probable is it then, that...
... it is going to negatively affect you professionally?
0 = Very unlikely; 10 = Very likely
Mean (sd) : 3 (3.2)
min ≤ med ≤ max:
0 ≤ 2 ≤ 10
IQR (CV) : 5 (1)
11 distinct values 1175 (100.0%)
sancclaprob_friends [labelled, numeric] Sanctions Classic Probability: Friends
If you speak freely what you really think: How probable is it then, that...
... your friends are going to turn away from you?
0 = Very unlikely; 10 = Very likely
Mean (sd) : 2.8 (2.9)
min ≤ med ≤ max:
0 ≤ 2 ≤ 10
IQR (CV) : 5 (1)
11 distinct values 1175 (100.0%)
sancclaprob_law [labelled, numeric] Sanctions Classic Probability: Law
If you speak freely what you really think: How probable is it then, that...
... you are going to get legal problems?
0 = Very unlikely; 10 = Very likely
Mean (sd) : 3.1 (3.1)
min ≤ med ≤ max:
0 ≤ 2 ≤ 10
IQR (CV) : 5 (1)
11 distinct values 1175 (100.0%)
sancdisprob_insulting [labelled, numeric] Sanctions Discursive Probability: Insulting
If you speak feely what you really think: How probable is it then, that ...
... others feel wrongfully insulted?
0 = Very unlikely; 10 = Very likely
Mean (sd) : 4 (2.8)
min ≤ med ≤ max:
0 ≤ 4 ≤ 10
IQR (CV) : 5 (0.7)
11 distinct values 1175 (100.0%)
sancdisprob_disagreement [labelled, numeric] Sanctions Discursive Probability: Disagreement
If you speak feely what you really think: How probable is it then, that ...
... others would contradict you?
0 = Very unlikely; 10 = Very likely
Mean (sd) : 5.4 (2.5)
min ≤ med ≤ max:
0 ≤ 6 ≤ 10
IQR (CV) : 3 (0.5)
11 distinct values 1175 (100.0%)
sancsocprob_wronggroup [labelled, numeric] Sanctions Social Probability: Wrong Group
If you speak feely what you really think: How probable is it then, that ...
... others will assign you to a group you don't belong to?
0 = Very unlikely; 10 = Very likely
Mean (sd) : 4.4 (2.9)
min ≤ med ≤ max:
0 ≤ 5 ≤ 10
IQR (CV) : 5 (0.7)
11 distinct values 1175 (100.0%)
sancsocprob_online [labelled, numeric] Sanctions Social Probability: Online
If you speak feely what you really think: How probable is it then, that ...
... you will personally be attacked on social media (e.g. Facebook, Twitter)?
0 = Very unlikely; 10 = Very likely
Mean (sd) : 3.9 (3.2)
min ≤ med ≤ max:
0 ≤ 4 ≤ 10
IQR (CV) : 5 (0.8)
11 distinct values 1175 (100.0%)
sancclacost_job [labelled, numeric] Sanctions Classic Cost: Job
If you speak freely what you really think: How bad would it be for you, if ...
... it would negatively affect you professionally?
0 = Not bad at all; 10 = Very bad
Mean (sd) : 5.6 (3.6)
min ≤ med ≤ max:
0 ≤ 6 ≤ 10
IQR (CV) : 7 (0.6)
11 distinct values 1175 (100.0%)
sancclacost_friends [labelled, numeric] Sanctions Classic Cost: Friends
If you speak freely what you really think: How bad would it be for you, if ...
... your friends would turn away from you?
0 = Not bad at all; 10 = Very bad
Mean (sd) : 6 (3.3)
min ≤ med ≤ max:
0 ≤ 7 ≤ 10
IQR (CV) : 5 (0.5)
11 distinct values 1175 (100.0%)
sancclacost_law [labelled, numeric] Sanctions Classic Cost: Law
If you speak freely what you really think: How bad would it be for you, if ...
... you would get legal problems?
0 = Not bad at all; 10 = Very bad
Mean (sd) : 6.6 (3.2)
min ≤ med ≤ max:
0 ≤ 7 ≤ 10
IQR (CV) : 5 (0.5)
11 distinct values 1175 (100.0%)
sancdiscost_insulting [labelled, numeric] Sanctions Discursive Cost: Insulting
If you speak feely what you really think: How bad would it be for you, if ...
... others feel wrongfully insulted?
0 = Not bad at all; 10 = Very bad
Mean (sd) : 5 (2.9)
min ≤ med ≤ max:
0 ≤ 5 ≤ 10
IQR (CV) : 4 (0.6)
11 distinct values 1175 (100.0%)
sancdiscost_disagreement [labelled, numeric] Sanctions Discursive Cost: Disagreement
If you speak feely what you really think: How bad would it be for you, if ...
... others contradict you?
0 = Not bad at all; 10 = Very bad
Mean (sd) : 3 (2.7)
min ≤ med ≤ max:
0 ≤ 3 ≤ 10
IQR (CV) : 5 (0.9)
11 distinct values 1175 (100.0%)
sancsoccost_wronggroup [labelled, numeric] Sanctions Social Cost: Wrong Group
If you speak feely what you really think: How bad would it be for you, if ...
... others will assign you to a group you don't belong to?
0 = Not bad at all; 10 = Very bad
Mean (sd) : 5.3 (3)
min ≤ med ≤ max:
0 ≤ 6 ≤ 10
IQR (CV) : 5 (0.6)
11 distinct values 1175 (100.0%)
sancsoccost_online [labelled, numeric] Sanctions Social Cost: Online
If you speak feely what you really think: How bad would it be for you, if ...
... you will personally be attacked on social media (e.g. Facebook, Twitter)?
0 = Not bad at all; 10 = Very bad
Mean (sd) : 4.8 (3.3)
min ≤ med ≤ max:
0 ≤ 5 ≤ 10
IQR (CV) : 5 (0.7)
11 distinct values 1175 (100.0%)

Randomization Variables

Variables Meaning
SANCTION PROBABILITIES
io_sancdisprob_disagreement Placement of ‘sancdisprob_disagreement’ in ‘Sanction Probability: Other’ question matrix
io_sancdisprob_insulting Placement of ‘sancdisprob_insulting’ in ‘Sanction Probability: Other’ question matrix
io_sancsocprob_online Placement of ‘sancsocprob_online’ in ‘Sanction Probability: Other’ question matrix
io_sancsocprob_wronggroup Placement of ‘sancsocprob_wronggroup’ in ‘Sanction Probability: Other’ question matrix
io_sancclaprob_friends Placement of ‘sancclaprob_friends’ in ‘Sanction Probability: Classic’ question matrix
io_sancclaprob_job Placement of ‘sancclaprob_job’ in ‘Sanction Probability: Classic’ question matrix
io_sancclaprob_law Placement of ‘sancclaprob_law’ in ‘Sanction Probability: Classic’ question matrix
SANCTION COSTS
io_sancdiscost_disagreement Placement of ‘sancdiscost_disagreement’ in ‘Sanction Costs: Other’ question matrix
io_sancdiscost_insulting Placement of ‘sancdiscost_insulting’ in ‘Sanction Costs: Other’ question matrix
io_sancsoccost_online Placement of ‘sancsoccost_online’ in ‘Sanction Costs: Other’ question matrix
io_sancsoccost_wronggroup Placement of ‘sancsoccost_wronggroup’ in ‘Sanction Costs: Other’ question matrix
io_sancclacost_friends Placement of ‘sancclacost_friends’ in ‘Sanction Costs: Classic’ question matrix
io_sancclacost_job Placement of ‘sancclacost_job’ in ‘Sanction Costs: Classic’ question matrix
io_sancclacost_law Placement of ‘sancclacost_law’ in ‘Sanction Costs: Classic’ question matrix
io_attentioncheck Placement of ‘attention check’ item in ‘Sanction Costs: Classic’ question matrix
PROBABILITIES VS. COSTS
qo_sanccost Placement of ‘Costs’ question matrix within Sanction blocks
qo_sancprob Placement of ‘Probabilities’ question matrix within Sanction blocks
CLASSIC VS. OTHER
bo_sanccla Position of ‘Classic’ Sanction-block in survey flow
bo_sancoth Position of ‘Other’ Sanction-block in survey flow

Conjoint Experiment: Allowed to Say (Reversed)

Variables

Note: There were five randomized conjoint statements to which support was surveyed binary (with ave. agreement around 40 %). The variables for all five iterations follow the same logic as the one presented below (replacing “1” with the numbers ‘2’ to ‘5’).

Example Statement with randomization variable labels in brackets: Ein männlicher [Female] Politiker [Speaker ID], der regelmäßg [Frequency] Homosexuelle [Target ID & Targetgroup] im Internet [Context] bedroht [Content], sollte keine Geldstrafe zahlen müssen [Response], auch wenn diese Gruppe sich beleidigt fühlt [Reaction].

Variables Meaning
OUTCOME VARIABLES
conj1 Agreement with the statement
RANDOMIZED ATTRIBUTES
conj1_speakerfemale Whether speaker is female or not
conj1_speakerid The speaker’s social identity
conj1_targetgroup Whether the target is a group or a singular person
conj1_targetsex If a singular person, the target’s sex
conj1_targetid The target’s social identity
conj1_context In which social context the situation is placed
conj1_response Which sanction the speaker should face
conj1_frequency How often the situation occurs
conj1_content What the speaker effectively says
conj1_reaction How the target reacts

Media Sources

Descriptive Overview

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
media_boulevard [labelled, numeric] Media Sources: Boulevard
Now it is about which type of media you use get information on day-to-day politics in Germany. So, where do you watch or read the news?
To make the questions a bit easier, we have put the entire range of German news into groups. On how many days a week do you use for informational purposes ...
... so called boulevard newspapers or their internet offers (e.g. BILD, bild.de, ...)?
0 = Never; 7 = 7 Days (Every Day)
Mean (sd) : 1.5 (2.4)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 2 (1.7)
0:776(66.0%)
1:53(4.5%)
2:74(6.3%)
3:43(3.7%)
4:39(3.3%)
5:27(2.3%)
6:49(4.2%)
7:114(9.7%)
1175 (100.0%)
media_qualpaper [labelled, numeric] Media Sources: Quality Paper
Now it is about which type of media you use get information on day-to-day politics in Germany. So, where do you watch or read the news?
To make the questions a bit easier, we have put the entire range of German news into groups. On how many days a week do you use for informational purposes ...
... so called national quality newspapers or their internet offers (e.g. FAZ, faz.net, Süddeutsche Zeitung, ...)?
0 = Never; 7 = 7 Days (Every Day)
Mean (sd) : 2.1 (2.5)
min ≤ med ≤ max:
0 ≤ 1 ≤ 7
IQR (CV) : 4 (1.2)
0:560(47.7%)
1:115(9.8%)
2:104(8.9%)
3:70(6.0%)
4:72(6.1%)
5:34(2.9%)
6:103(8.8%)
7:117(10.0%)
1175 (100.0%)
media_localpaper [labelled, numeric] Media Sources: Local Paper
Now it is about which type of media you use get information on day-to-day politics in Germany. So, where do you watch or read the news?
To make the questions a bit easier, we have put the entire range of German news into groups. On how many days a week do you use for informational purposes ...
... your respective local newspapers or their internet offers?
0 = Never; 7 = 7 Days (Every Day)
Mean (sd) : 3.3 (2.6)
min ≤ med ≤ max:
0 ≤ 4 ≤ 7
IQR (CV) : 6 (0.8)
0:304(25.9%)
1:101(8.6%)
2:93(7.9%)
3:87(7.4%)
4:90(7.7%)
5:154(13.1%)
6:189(16.1%)
7:157(13.4%)
1175 (100.0%)
media_privatetv [labelled, numeric] Media Sources: Private TV
Now it is about which type of media you use get information on day-to-day politics in Germany. So, where do you watch or read the news?
To make the questions a bit easier, we have put the entire range of German news into groups. On how many days a week do you use for informational purposes ...
... private TV channels or their internet offers (e.g. RTL aktuell, rtl.de, ...)?
0 = Never; 7 = 7 Days (Every Day)
Mean (sd) : 2.9 (2.5)
min ≤ med ≤ max:
0 ≤ 2 ≤ 7
IQR (CV) : 6 (0.9)
0:326(27.7%)
1:137(11.7%)
2:137(11.7%)
3:110(9.4%)
4:102(8.7%)
5:61(5.2%)
6:179(15.2%)
7:123(10.5%)
1175 (100.0%)
media_publictv [labelled, numeric] Media Sources: Public TV
Now it is about which type of media you use get information on day-to-day politics in Germany. So, where do you watch or read the news?
To make the questions a bit easier, we have put the entire range of German news into groups. On how many days a week do you use for informational purposes ...
... public TV channels or their internet offers (e.g. Tagesschau, funk, tagesschau.de, ...)?
0 = Never; 7 = 7 Days (Every Day)
Mean (sd) : 4 (2.3)
min ≤ med ≤ max:
0 ≤ 5 ≤ 7
IQR (CV) : 4 (0.6)
0:156(13.3%)
1:92(7.8%)
2:107(9.1%)
3:82(7.0%)
4:121(10.3%)
5:93(7.9%)
6:450(38.3%)
7:74(6.3%)
1175 (100.0%)
media_privateradio [labelled, numeric] Media Sources: Private Radio
Now it is about which type of media you use get information on day-to-day politics in Germany. So, where do you watch or read the news?
To make the questions a bit easier, we have put the entire range of German news into groups. On how many days a week do you use for informational purposes ...
... private radio channels or their internet offers (e.g. Energy, energy.de, ...)?
0 = Never; 7 = 7 Days (Every Day)
Mean (sd) : 1.9 (2.5)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 4 (1.3)
0:603(51.3%)
1:89(7.6%)
2:99(8.4%)
3:86(7.3%)
4:74(6.3%)
5:23(2.0%)
6:111(9.4%)
7:90(7.7%)
1175 (100.0%)
media_publicradio [labelled, numeric] Media Sources: Public Radio
Now it is about which type of media you use get information on day-to-day politics in Germany. So, where do you watch or read the news?
To make the questions a bit easier, we have put the entire range of German news into groups. On how many days a week do you use for informational purposes ...
... public radio channels or their internet offers (e.g. Deutschlandfunk, deutschlandfunk.de, ...)?
0 = Never; 7 = 7 Days (Every Day)
Mean (sd) : 3 (2.6)
min ≤ med ≤ max:
0 ≤ 3 ≤ 7
IQR (CV) : 6 (0.9)
0:379(32.3%)
1:80(6.8%)
2:119(10.1%)
3:89(7.6%)
4:98(8.3%)
5:58(4.9%)
6:262(22.3%)
7:90(7.7%)
1175 (100.0%)
media_blogs [labelled, numeric] Media Sources: Blogs
Now it is about which type of media you use get information on day-to-day politics in Germany. So, where do you watch or read the news?
To make the questions a bit easier, we have put the entire range of German news into groups. On how many days a week do you use for informational purposes ...
special news providers that are only available online (e.g. blogs of private persons)?
0 = Never; 7 = 7 Days (Every Day)
Mean (sd) : 1.3 (2.3)
min ≤ med ≤ max:
0 ≤ 0 ≤ 7
IQR (CV) : 2 (1.7)
0:771(65.6%)
1:71(6.0%)
2:84(7.1%)
3:50(4.3%)
4:41(3.5%)
5:23(2.0%)
6:38(3.2%)
7:97(8.3%)
1175 (100.0%)

Randomization Variables

Variables Meaning
io_media_boulevard Placement of ‘media_boulevard’ in ‘Media Sources’ question matrix
io_media_qualpaper Placement of ‘media_qualpaper’ in ‘Media Sources’ question matrix
io_media_localpaper Placement of ‘media_localpaper’ in ‘Media Sources’ question matrix
io_media_privatetv Placement of ‘media_privatetv’ in ‘Media Sources’ question matrix
io_media_publictv Placement of ‘media_publictv’ in ‘Media Sources’ question matrix
io_media_privateradio Placement of ‘media_privateradio’ in ‘Media Sources’ question matrix
io_media_publicradio Placement of ‘media_publicradio’ in ‘Media Sources’ question matrix
io_media_blogs Placement of ‘media_blogs’ in ‘Media Sources’ question matrix

Media Assessments

Descriptive Overview

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
mediabias_majority [labelled, factor] Media Bias: Majority
Next up, we are interested in your assessment of the media in Germany: Do you agree with the following statements or not?
The media in Germany don't give enough room for opinions and arguments deviating from the majority's opinion.
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
151(12.9%)
434(36.9%)
388(33.0%)
202(17.2%)
1175 (100.0%)
mediabias_minority [labelled, factor] Media Bias: Minority
Next up, we are interested in your assessment of the media in Germany: Do you agree with the following statements or not?
The media in Germany too often represent the opinions of a loud minority.
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
204(17.4%)
467(39.7%)
327(27.8%)
177(15.1%)
1175 (100.0%)
mediabias_balanced [labelled, factor] Media Bias: Balanced
Next up, we are interested in your assessment of the media in Germany: Do you agree with the following statements or not?
The media in Germany present a lot of different opinions in a balanced way.
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
171(14.6%)
322(27.4%)
497(42.3%)
185(15.7%)
1175 (100.0%)
mediabias_örrbiased [labelled, factor] Media Bias: ÖRR Biased
Next up, we are interested in your assessment of the media in Germany: Do you agree with the following statements or not?
The public broadcast's reporting is biased.
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
174(14.8%)
399(34.0%)
377(32.1%)
225(19.1%)
1175 (100.0%)
mediarep_established [labelled, factor] Media Rep: Established
Next up, we are interested in your assessment of the media in Germany: Do you agree with the following statements or not?
There are established media in which I find my own opinion.
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
82(7.0%)
249(21.2%)
648(55.1%)
196(16.7%)
1175 (100.0%)
mediarep_alternative [labelled, factor] Media Rep: Alternative
Next up, we are interested in your assessment of the media in Germany: Do you agree with the following statements or not?
There are alternative media in which I find my own opinion.
1. Disagree
2. R. Disagree
3. R. Agree
4. Agree
219(18.6%)
371(31.6%)
430(36.6%)
155(13.2%)
1175 (100.0%)
mediatrust_ard [labelled, factor] Media Trust: ARD
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
ARD / tagesschau.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
133(11.3%)
285(24.3%)
716(61.0%)
39(3.3%)
1173 (99.8%)
mediatrust_zdf [labelled, factor] Media Trust: ZDF
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
ZDF / zdf.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
125(10.7%)
328(28.0%)
680(58.0%)
39(3.3%)
1172 (99.7%)
mediatrust_bild [labelled, factor] Media Trust: BILD
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
Die Bild / BILD TV / bild.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
524(44.8%)
430(36.8%)
127(10.9%)
89(7.6%)
1170 (99.6%)
mediatrust_spiegel [labelled, factor] Media Trust: Spiegel
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
SPIEGEL / SPIEGEL TV / spiegel.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
115(9.8%)
404(34.4%)
550(46.8%)
105(8.9%)
1174 (99.9%)
mediatrust_zeit [labelled, factor] Media Trust: ZEIT
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
ZEIT / zeit.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
100(8.5%)
308(26.3%)
550(47.0%)
213(18.2%)
1171 (99.7%)
mediatrust_tichy [labelled, factor] Media Trust: Tichy
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
Tichy's Einblick
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
106(9.1%)
100(8.5%)
86(7.4%)
878(75.0%)
1170 (99.6%)
mediatrust_welt [labelled, factor] Media Trust: Welt
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
Die Welt / welt.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
97(8.3%)
381(32.5%)
531(45.2%)
165(14.1%)
1174 (99.9%)
mediatrust_faz [labelled, factor] Media Trust: FAZ
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
FAZ / faz.net
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
90(7.7%)
313(26.7%)
529(45.1%)
241(20.5%)
1173 (99.8%)
mediatrust_sz [labelled, factor] Media Trust: SZ
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
Süddeutsche Zeitung / sz.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
101(8.6%)
287(24.5%)
597(51.0%)
185(15.8%)
1170 (99.6%)
mediatrust_reitschuster [labelled, factor] Media Trust: Reitschuster
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
reitschuster.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
111(9.5%)
81(6.9%)
92(7.9%)
887(75.7%)
1171 (99.7%)
mediatrust_rt [labelled, factor] Media Trust: Russia Today
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
Russia Today
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
479(40.9%)
107(9.1%)
54(4.6%)
531(45.3%)
1171 (99.7%)
mediatrust_pi [labelled, factor] Media Trust: PI-News
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
PI-News / pi-news.net
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
96(8.2%)
93(8.0%)
56(4.8%)
921(79.0%)
1166 (99.2%)
mediatrust_jungefr [labelled, factor] Media Trust: Junge Freiheit
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
Junge Freiheit / jungefreiheit.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
149(12.8%)
124(10.6%)
85(7.3%)
810(69.3%)
1168 (99.4%)
mediatrust_compact [labelled, factor] Media Trust: Compact
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
Compact / compact-online.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
97(8.3%)
149(12.7%)
116(9.9%)
810(69.1%)
1172 (99.7%)
mediatrust_taz [labelled, factor] Media Trust: taz
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
taz / taz.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
130(11.1%)
381(32.6%)
354(30.3%)
304(26.0%)
1169 (99.5%)
mediatrust_jungewelt [labelled, factor] Media Trust: Junge Welt
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
junge Welt / jungewelt.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
133(11.4%)
170(14.5%)
78(6.7%)
788(67.4%)
1169 (99.5%)
mediatrust_sat1 [labelled, factor] Media Trust: SAT1
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
Sat.1 / sat1.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
186(15.9%)
582(49.7%)
322(27.5%)
81(6.9%)
1171 (99.7%)
mediatrust_pro7 [labelled, factor] Media Trust: Pro7
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
ProSieben / prosieben.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
196(16.7%)
602(51.4%)
285(24.3%)
88(7.5%)
1171 (99.7%)
mediatrust_rtl [labelled, factor] Media Trust: RTL
There are a lot of discussions currently about which information you should trust or distrust. We will now name some of the most widely used media. Please tell us, whether you rate each media outlet as trustworthy or not.
Because we name a lot of different media outlets, it is very well possible that you don't know or can't evaluate all of them. Please choose 'I don't know' in such a case.
RTL / rtl.de
1. Not Trustworthy
2. Partially
3. Trustworthy
4. Don't Know It
235(20.1%)
573(49.0%)
308(26.3%)
54(4.6%)
1170 (99.6%)
mediasfs_often [labelled, factor] Media SFS: Often
Now it is about the perception of the topic 'free speech' in media. Please indicate, how much you agree or disagree to the following statements.
I frequently noticed the topic 'freedom of speech in Germany' in the media lately.
1. Don't Agree
2. R. Don't Agree
3. Partially
4. R. Agree
5. Agree
125(10.6%)
244(20.8%)
387(32.9%)
328(27.9%)
91(7.7%)
1175 (100.0%)
mediasfs_searching [labelled, factor] Media SFS: Searching
Now it is about the perception of the topic 'free speech' in media. Please indicate, how much you agree or disagree to the following statements.
I search purposefully for new information on the state of freedom of speech in Germany in the media.
1. Don't Agree
2. R. Don't Agree
3. Partially
4. R. Agree
5. Agree
315(26.8%)
362(30.8%)
322(27.4%)
136(11.6%)
40(3.4%)
1175 (100.0%)
mediasfs_report [labelled, factor] Media SFS: Report
Now it is about the perception of the topic 'free speech' in media. Please indicate, how much you agree or disagree to the following statements.
The media reports that freedom of speech is restricted in Germany.
1. Don't Agree
2. R. Don't Agree
3. Partially
4. R. Agree
5. Agree
303(25.8%)
336(28.6%)
368(31.3%)
120(10.2%)
48(4.1%)
1175 (100.0%)

Randomization Variables

Variables Meaning
MEDIA BIAS
io_mediabias_majority Placement of ‘mediabias_majority’ in ‘Media Bias’ question matrix
io_mediabias_minority Placement of ‘mediabias_minority’ in ‘Media Bias’ question matrix
io_mediabias_balanced Placement of ‘mediabias_balanced’ in ‘Media Bias’ question matrix
io_mediabias_örrbiased Placement of ‘mediabias_örrbiased’ in ‘Media Bias’ question matrix
io_mediabias_established Placement of ‘mediabias_established’ in ‘Media Bias’ question matrix
MEDIA REPRESENTATION
io_mediarep_established Placement of ‘mediarep_established’ in ‘Media Bias’ question matrix
io_mediarep_alternative Placement of ‘mediarep_alternative’ in ‘Media Bias’ question matrix
MEDIA TRUST
io_mediatrust_ard Placement of ‘mediatrust_ard’ in ‘Media Trust’ question matrix
io_mediatrust_zdf Placement of ‘mediatrust_zdf’ in ‘Media Trust’ question matrix
io_mediatrust_bild Placement of ‘mediatrust_bild’ in ‘Media Trust’ question matrix
io_mediatrust_spiegel Placement of ‘mediatrust_spiegel’ in ‘Media Trust’ question matrix
io_mediatrust_zeit Placement of ‘mediatrust_zeit’ in ‘Media Trust’ question matrix
io_mediatrust_tichy Placement of ‘mediatrust_tichy’ in ‘Media Trust’ question matrix
io_mediatrust_welt Placement of ‘mediatrust_welt’ in ‘Media Trust’ question matrix
io_mediatrust_faz Placement of ‘mediatrust_faz’ in ‘Media Trust’ question matrix
io_mediatrust_sz Placement of ‘mediatrust_sz’ in ‘Media Trust’ question matrix
io_mediatrust_reitschuster Placement of ‘mediatrust_reitschuster’ in ‘Media Trust’ question matrix
io_mediatrust_rt Placement of ‘mediatrust_rt’ in ‘Media Trust’ question matrix
io_mediatrust_pi Placement of ‘mediatrust_pi’ in ‘Media Trust’ question matrix
io_mediatrust_jungefr Placement of ‘mediatrust_jungefr’ in ‘Media Trust’ question matrix
io_mediatrust_compact Placement of ‘mediatrust_compact’ in ‘Media Trust’ question matrix
io_mediatrust_taz Placement of ‘mediatrust_taz’ in ‘Media Trust’ question matrix
io_mediatrust_jungewelt Placement of ‘mediatrust_jungewelt’ in ‘Media Trust’ question matrix
io_mediatrust_sat1 Placement of ‘mediatrust_sat1’ in ‘Media Trust’ question matrix
io_mediatrust_pro7 Placement of ‘mediatrust_pro7’ in ‘Media Trust’ question matrix
io_mediatrust_rtl Placement of ‘mediatrust_rtl’ in ‘Media Trust’ question matrix

Partisanship

Descriptive Overview

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
pid [labelled, factor] Party PID
Now to a different topic: In Germany many people lean towards one specific political party for a long period of time, even though they sometimes also vote for a different party.
How is it for you: Do you - generally speaking - lean towards some particular political party? If so, which one?
1. Left
2. Greens
3. SPD
4. CDU
5. CSU
6. FDP
7. AfD
8. Other
9. None
99(8.4%)
175(14.9%)
193(16.4%)
154(13.1%)
60(5.1%)
76(6.5%)
124(10.6%)
33(2.8%)
261(22.2%)
1175 (100.0%)
pid_other [labelled, factor] Party PID: Other
Now to a different topic: In Germany many people lean towards one specific political party for a long period of time, even though they sometimes also vote for a different party.
How is it for you: Do you - generally speaking - lean towards some particular political party? If so, which one?
Filter: pid != 'None'
1. Basis
2. Bündnis C
3. CSU
4. Demokratische Basis
5. die
6. die Basis
7. Die Basis
8. Die Partei
9. Die Tierpartei
10. freie Wähler
[ 16 others ]
1(3.0%)
1(3.0%)
1(3.0%)
1(3.0%)
1(3.0%)
1(3.0%)
1(3.0%)
2(6.1%)
1(3.0%)
2(6.1%)
21(63.6%)
33 (2.8%)
nid [labelled, factor] Party NID
Sometimes people also feel aversion towards some political party.
What is it like for you: Is there a particular party that you - generally speaking - feel aversion towards?
1. Left
2. Greens
3. SPD
4. CDU
5. CSU
6. FDP
7. AfD
8. Other
9. None
67(5.7%)
237(20.2%)
30(2.6%)
37(3.1%)
18(1.5%)
22(1.9%)
657(55.9%)
9(0.8%)
98(8.3%)
1175 (100.0%)
nid_other [labelled, factor] Party NID: Other
Sometimes people also feel aversion towards some political party.
What is it like for you: Is there a particular party that you - generally speaking - fee aversion towards?
Filter: nid != 'None'
1. Afd
2. AFD
3. alle
4. alle aufgelisteten
5. alle oben genannten
6. Bm.basis
7. eigentlich alle Parteien
8. Ich bin fast allen Partei
9. Nazis
1(11.1%)
1(11.1%)
1(11.1%)
1(11.1%)
1(11.1%)
1(11.1%)
1(11.1%)
1(11.1%)
1(11.1%)
9 (0.8%)
aff_pos_criticism [labelled, factor] Pos Aff Scale: Criticism
Please indicate, how much you agree to the following statements.
When people critizise [PID], I feel personally insulted.
Filter: pid != 'None'
1. Don't Agree
2. R. Don't Agree
3. Partially
4. R. Agree
5. Agree
308(33.7%)
266(29.1%)
220(24.1%)
91(10.0%)
29(3.2%)
914 (77.8%)
aff_pos_positive [labelled, factor] Pos Aff Scale: Positive
Please indicate, how much you agree to the following statements.
When people speak positively about [PID], I get a good feeling.
Filter: pid != 'None'
1. Don't Agree
2. R. Don't Agree
3. Partially
4. R. Agree
5. Agree
32(3.5%)
42(4.6%)
327(35.8%)
337(36.9%)
176(19.3%)
914 (77.8%)
aff_pos_similar [labelled, factor] Pos Aff Scale: Similar
Please indicate, how much you agree to the following statements.
People who support [PID], are usually similar to me.
Filter: pid != 'None'
1. Don't Agree
2. R. Don't Agree
3. Partially
4. R. Agree
5. Agree
16(1.8%)
55(6.0%)
424(46.4%)
318(34.8%)
101(11.1%)
914 (77.8%)
Variables Meaning
POSITIVE & NEGATIVE PARTISAN IDs
io_pid_left Placement of Party ‘Left’ in ‘Positive Partisanship’ answering matrix
io_pid_greens Placement of Party ‘Greens’ in ‘Positive Partisanship’ answering matrix
io_pid_spd Placement of Party ‘SPD’ in ‘Positive Partisanship’ answering matrix
io_pid_cdu Placement of Party ‘CDU’ in ‘Positive Partisanship’ answering matrix
io_pid_csu Placement of Party ‘CSU’ in ‘Positive Partisanship’ answering matrix
io_pid_fdp Placement of Party ‘FDP’ in ‘Positive Partisanship’ answering matrix
io_pid_afd Placement of Party ‘AfD’ in ‘Positive Partisanship’ answering matrix
io_nid_left Placement of Party ‘Left’ in ‘Negative Partisanship’ answering matrix
io_nid_greens Placement of Party ‘Greens’ in ‘Negative Partisanship’ answering matrix
io_nid_spd Placement of Party ‘SPD’ in ‘Negative Partisanship’ answering matrix
io_nid_cdu Placement of Party ‘CDU’ in ‘Negative Partisanship’ answering matrix
io_nid_csu Placement of Party ‘CSU’ in ‘Negative Partisanship’ answering matrix
io_nid_fdp Placement of Party ‘FDP’ in ‘Negative Partisanship’ answering matrix
io_nid_afd Placement of Party ‘AfD’ in ‘Negative Partisanship’ answering matrix
AFFECTIVE POLARIZATION SCALE
io_aff_pos_criticism Placement of ‘aff_pos_criticism’ in ‘Positive Affective Partisanship’ question matrix
io_aff_pos_positive Placement of ‘aff_pos_positive’ in ‘Positive Affective Partisanship’ question matrix
io_aff_pos_similar Placement of ‘aff_pos_similar’ in ‘Positive Affective Partisanship’ question matrix

Conjoint Experiment: Identification & Prestige

Variables

Note: There were five tasks in which respondents had to choose between two randomized conjoint profiles(Person A and Person B) whom ‘they feel more connected to’. Subsequently, they were asked for both profiles (on a scale from 0-10, how connected they feel to this person) The variables for all five iterations follow the same logic as the one presented below (replacing “1” with the numbers ‘2’ to ‘5’).

Example Statement with randomization variable labels in brackets: Ein männlicher [Female] Politiker [Speaker ID], der regelmäßg [Frequency] Homosexuelle [Target ID & Targetgroup] im Internet [Context] bedroht [Content], sollte keine Geldstrafe zahlen müssen [Response], auch wenn diese Gruppe sich beleidigt fühlt [Reaction].

Variables Meaning
prime Wether respondents received a prime before the conjoint or not (see below for more information
OUTCOME VARIABLES
socconj1_decision Wording: Which of these two people do you feel more connected to?
socconj1_a_connect Wording: On a scale from 0 (not at all connected) to 10 (very strongly connected), how strongly do you feel connected to Person A ?
socconj1_b_connect Wording: On a scale from 0 (not at all connected) to 10 (very strongly connected), how strongly do you feel connected to Person B ?
socconj1_a_prestige Wording: The German republic’s society can be divided into different social classes. On a scale from 0 (at the bottom) to 10 (at the top), in which social class is Person A located?
socconj1_b_prestige Wording: The German republic’s society can be divided into different social classes. On a scale from 0 (at the bottom) to 10 (at the top), in which social class is Person B located?
RANDOMIZED PROFILE ATTRIBUTES
socconj_1a_age / socconj_1b_age Person A / B’s Age
socconj_1a_sex / socconj_1b_sex Person A / B’s Sex
socconj_1a_nat / socconj_1b_nat Person A / B’s Nationality
socconj_1a_urban / socconj_1b_urban Urbanity of Person A / B’s Residence
socconj_1a_edu / socconj_1b_edu Person A / B’s Education
socconj_1a_job / socconj_1b_job Person A / B’s Job
socconj_1a_inc / socconj_1b_inc Person A / B’s Income
socconj_1a_pol / socconj_1b_pol Person A / B’s Political Affiliation

Additional Randomizations

Prime Logic:

If pid != ‘None’, 50% receive the partisan prime, 50% do not receive a prime.

If pid == ‘None’, 50% receive the placebo prime, 50% do not receive a prime.

  • socconj_partisanprime denotes the open entry for those who received the partisan prime experimental condition with the prompt: “Its generally said, that supporters of the same party are connected by many things. For example their financial situation, their hobbies or political opinions. When you think about yourself: What connects you personally with the average voter of [PID]? Please write 2-3 sentences.”
  • socconj_placeboprime denotes the open entry for those who received the placebo prime experimental condition with the prompt: “Please write 2-3 sentences about how your perfect vacation would look like.”
Variables Meaning
bo_socconj Whether the Conjoint was presented before or after the PID scale items
bo_pidscale Whether the PID scale items was presented before or after the Conjoint

Note: All five pages of the this conjoint experiment have also been timed. Variables are stored as ‘socconj1_timing_first’ [time until first click], ‘socconj1_timing_last’ [time until last click], ‘socconj1_timing_total’ [time until exiting page], and ‘socconj1_clickcount’ [no. of clicks]. Replace socconj1 with 2-5 for other iterations.

SFS Variables

Descriptive Overview

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
sfs_meaning [labelled, character] SFS Meaning
And now asked again completely generally: What does 'freedom of speech' mean for you personally?
1. -99
2. alles
3. Freie Meinungsäußerung
4. Weiß nicht
5. -
6. Freiheit
7. gut
8. ----
9. Alles sagen zu können
10. das ich sagen kann was ic
[ 1076 others ]
56(4.8%)
5(0.4%)
4(0.3%)
4(0.3%)
3(0.3%)
3(0.3%)
3(0.3%)
2(0.2%)
2(0.2%)
2(0.2%)
1091(92.9%)
1175 (100.0%)
sfs_usa_state [labelled, numeric] SFS State: USA How freely can the people in the USA express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 1.9 (2.5)
min ≤ med ≤ max:
-5 ≤ 2 ≤ 5
IQR (CV) : 4 (1.3)
11 distinct values 398 (33.9%)
sfs_usa_public [labelled, numeric] SFS Public: USA How freely can the people in the USA express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 0.6 (2.7)
min ≤ med ≤ max:
-5 ≤ 1 ≤ 5
IQR (CV) : 5 (4.5)
11 distinct values 390 (33.2%)
sfs_china_state [labelled, numeric] SFS State: China How freely can the people in China express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : -3.8 (2)
min ≤ med ≤ max:
-5 ≤ -5 ≤ 5
IQR (CV) : 1.8 (-0.5)
11 distinct values 406 (34.6%)
sfs_china_public [labelled, numeric] SFS Public: China How freely can the people in China express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : -3 (2.2)
min ≤ med ≤ max:
-5 ≤ -4 ≤ 5
IQR (CV) : 3 (-0.7)
11 distinct values 373 (31.7%)
sfs_poland_state [labelled, numeric] SFS State: Poland How freely can the people in Poland express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 0.4 (2.6)
min ≤ med ≤ max:
-5 ≤ 1 ≤ 5
IQR (CV) : 3 (6.2)
11 distinct values 346 (29.4%)
sfs_poland_public [labelled, numeric] SFS Public: Poland How freely can the people in Poland express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 0.7 (2.5)
min ≤ med ≤ max:
-5 ≤ 1 ≤ 5
IQR (CV) : 4 (3.5)
11 distinct values 337 (28.7%)
sfs_hungary_state [labelled, numeric] SFS State: Hungary How freely can the people in Hungary express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : -0.8 (2.7)
min ≤ med ≤ max:
-5 ≤ -1 ≤ 5
IQR (CV) : 4 (-3.4)
11 distinct values 330 (28.1%)
sfs_hungary_public [labelled, numeric] SFS Public: Hungary How freely can the people in Hungary express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 0 (2.8)
min ≤ med ≤ max:
-5 ≤ 0 ≤ 5
IQR (CV) : 4 (-97.3)
11 distinct values 318 (27.1%)
sfs_nkorea_state [labelled, numeric] SFS State: North Korea How freely can the people in North Korea express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : -4 (2)
min ≤ med ≤ max:
-5 ≤ -5 ≤ 5
IQR (CV) : 1 (-0.5)
11 distinct values 408 (34.7%)
sfs_nkorea_public [labelled, numeric] SFS Public: North Korea How freely can the people in North Korea express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : -3.4 (2.3)
min ≤ med ≤ max:
-5 ≤ -4 ≤ 5
IQR (CV) : 2 (-0.7)
11 distinct values 385 (32.8%)
sfs_germany_state [labelled, numeric] SFS State: Germany How freely can the people in Germany express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 2.1 (2.8)
min ≤ med ≤ max:
-5 ≤ 3 ≤ 5
IQR (CV) : 3.2 (1.4)
11 distinct values 444 (37.8%)
sfs_germany_public [labelled, numeric] SFS Public: Germany How freely can the people in Germany express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 1.3 (2.7)
min ≤ med ≤ max:
-5 ≤ 2 ≤ 5
IQR (CV) : 4 (2.1)
11 distinct values 441 (37.5%)
sfs_turkey_state [labelled, numeric] SFS State: Turkey How freely can the people in Turkey express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : -2.9 (2.2)
min ≤ med ≤ max:
-5 ≤ -3 ≤ 5
IQR (CV) : 3 (-0.8)
11 distinct values 401 (34.1%)
sfs_turkey_public [labelled, numeric] SFS Public: Turkey How freely can the people in Turkey express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : -1.9 (2.3)
min ≤ med ≤ max:
-5 ≤ -2 ≤ 5
IQR (CV) : 4 (-1.2)
11 distinct values 370 (31.5%)
sfs_nether_state [labelled, numeric] SFS State: Netherlands How freely can the people in the Netherlands express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 3.2 (1.9)
min ≤ med ≤ max:
-5 ≤ 4 ≤ 5
IQR (CV) : 3 (0.6)
11 distinct values 396 (33.7%)
sfs_nether_public [labelled, numeric] SFS Public: Netherlands How freely can the people in the Netherlands express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 2.9 (2)
min ≤ med ≤ max:
-5 ≤ 3 ≤ 5
IQR (CV) : 2 (0.7)
11 distinct values 380 (32.3%)
sfs_uk_state [labelled, numeric] SFS State: UK How freely can the people in the United Kingdom express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 2.6 (2.1)
min ≤ med ≤ max:
-5 ≤ 3 ≤ 5
IQR (CV) : 2 (0.8)
11 distinct values 371 (31.6%)
sfs_uk_public [labelled, numeric] SFS Public: UK How freely can the people in the United Kingdom express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : 2.2 (2.1)
min ≤ med ≤ max:
-5 ≤ 3 ≤ 5
IQR (CV) : 3 (1)
11 distinct values 360 (30.6%)
sfs_brazil_state [labelled, numeric] SFS State: Brazil How freely can the people in Brazil express their opinions, without having to fear the state?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : -0.5 (2.5)
min ≤ med ≤ max:
-5 ≤ -1 ≤ 5
IQR (CV) : 3.2 (-4.7)
11 distinct values 328 (27.9%)
sfs_brazil_public [labelled, numeric] SFS Public: Brazil How freely can the people in Brazil express their opinions, without having to fear their fellow citizens?
-5: Unfree; 0 = Don't Know; 5 = Free
Mean (sd) : -0.5 (2.5)
min ≤ med ≤ max:
-5 ≤ -1 ≤ 5
IQR (CV) : 3 (-4.8)
11 distinct values 314 (26.7%)
sfs [labelled, factor] SFS
Now it is about freedom of speech. How free or unfree do you feel to say what you really think?
1. Unfree
2. R. Unfree
3. R. Free
4. Free
76(6.5%)
190(16.2%)
487(41.4%)
422(35.9%)
1175 (100.0%)
sfs_threatening [labelled, factor] SFS Battery: Threatening
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
Completely normal expressions of opinion are viewed as threats to society by some people in Germany.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
29(7.5%)
110(28.5%)
168(43.5%)
79(20.5%)
386 (32.9%)
sfs_leftdict [labelled, factor] SFS Battery: Left Dictatorship
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
There is a leftist-green dictatorship of opinion in Germany.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
105(26.5%)
132(33.3%)
97(24.5%)
62(15.7%)
396 (33.7%)
sfs_rightdict [labelled, factor] SFS Battery: Right Dictatorship
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
There is a right wing-conservative dictatorship of opinion in Germany.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
124(32.6%)
133(35.0%)
106(27.9%)
17(4.5%)
380 (32.3%)
sfs_elite [labelled, factor] SFS Battery: Elite
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
Sometimes opinions are silenced by the elite in Germany.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
73(16.8%)
123(28.3%)
165(38.0%)
73(16.8%)
434 (36.9%)
sfs_lawful [labelled, factor] SFS Battery: Lawful
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
Free speech is well protected legally in Germany.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
35(9.0%)
71(18.3%)
173(44.6%)
109(28.1%)
388 (33.0%)
sfs_lawless [labelled, factor] SFS Battery: Lawless
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
The legal garanty for freedom of speech is meaningless, because parts of German society suppress opinions anyways.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
53(13.3%)
128(32.2%)
147(36.9%)
70(17.6%)
398 (33.9%)
sfs_taboo [labelled, factor] SFS Battery: Taboo
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
There are lots of unwritten laws in Germany about which opinions are acceptable and permissible and which opinions are rather taboo.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
22(5.8%)
82(21.6%)
188(49.6%)
87(23.0%)
379 (32.3%)
sfs_controversial [labelled, factor] SFS Battery: Controversial
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
In Germany you can voice critical opinions publicly even about very controversial topics.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
39(10.1%)
97(25.0%)
171(44.1%)
81(20.9%)
388 (33.0%)
sfs_critized [labelled, factor] SFS Battery: Critizized
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
You can't voice your opinion in Germany openly, without the risk of being harshly critizised or attacked.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
55(13.9%)
128(32.4%)
133(33.7%)
79(20.0%)
395 (33.6%)
sfs_limited [labelled, factor] SFS Battery: Limited
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
Free spech in Germany is restricted.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
122(30.3%)
129(32.1%)
86(21.4%)
65(16.2%)
402 (34.2%)
sfs_free [labelled, factor] SFS Battery: Free
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
In Germany you can openly express your opinions about any topic.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
58(15.8%)
82(22.4%)
151(41.3%)
75(20.5%)
366 (31.1%)
sfs_wrongword [labelled, factor] SFS Battery: Wrong Word
Now some statements about free speech in Germany will follow. Please indicate, how strongly you generally agree or disagree with each statement.
Whoever uses a 'wrong' word in Germany is critizised too quickly.
1. Don't Agree
2. R. Don't Agree
3. R. Agree
4. Agree
34(8.8%)
93(24.0%)
157(40.5%)
104(26.8%)
388 (33.0%)

Randomization Variables

Variables Meaning
SFS BATTERY
io_sfs_threatening Placement of ‘sfs_threatening’ in ‘SFS Battery’ question matrix
io_sfs_leftdict Placement of ‘sfs_leftdict’ in ‘SFS Battery’ question matrix
io_sfs_rightdict Placement of ‘sfs_rightdict’ in ‘SFS Battery’ question matrix
io_sfs_elite Placement of ‘sfs_elite’ in ‘SFS Battery’ question matrix
io_sfs_lawful Placement of ‘sfs_lawful’ in ‘SFS Battery’ question matrix
io_sfs_lawless Placement of ‘sfs_lawless’ in ‘SFS Battery’ question matrix
io_sfs_taboo Placement of ‘sfs_taboo’ in ‘SFS Battery’ question matrix
io_sfs_controversial Placement of ‘sfs_controversial’ in ‘SFS Battery’ question matrix
io_sfs_critized Placement of ‘sfs_critized’ in ‘SFS Battery’ question matrix
io_sfs_limited Placement of ‘sfs_limited’ in ‘SFS Battery’ question matrix
io_sfs_free Placement of ‘sfs_free’ in ‘SFS Battery’ question matrix
io_sfs_wrongword Placement of ‘sfs_wrongword’ in ‘SFS Battery’ question matrix
STATE EVALUATION: PUBLIC VS. STATE
qo_sfs_countries_public Placement of ‘Public’ item in all country evaluations
qo_sfs-Countries_state Placement of ‘State’ item in all country evaluations

Note: Every respondent got presented four out of the ten available countries For all other countries, respondents have the Value ‘NA’. Unfortunately, it is not recorded in which order the countries were presented.

Socio-Demographics

Descriptive Overview

Variable Label Stats / Values Freqs (% of Valid) Graph Valid
urban [labelled, factor] Urbanity
Which of the following categories describes best where you live?
1. Countryside
2. Small Town
3. Large City
0(0.0%)
424(47.8%)
463(52.2%)
887 (75.5%)
income [labelled, factor] Income
How high is your monthly net income?
Meant is the amount that remains for you personally after deduction of taxes and social insurance premiums.
1. None
2. < 500
3. 500 - 749
4. 750 - 999
5. 1000 - 1249
6. 1250 - 1499
7. 1500 - 1999
8. 2000 - 2499
9. 2500 - 2999
10. 3000 - 3999
[ 2 others ]
38(3.2%)
28(2.4%)
26(2.2%)
58(4.9%)
74(6.3%)
167(14.2%)
16(1.4%)
224(19.1%)
182(15.5%)
185(15.8%)
176(15.0%)
1174 (99.9%)
---
title: "SFS Wave 2 - Codebook"
author: "Jan Menzner & Leon Gräf"
date: "`r Sys.Date()`"
output:
  html_notebook:
    theme: darkly
    toc: yes
    toc_depth: 4
    toc_float: yes
  html_document:
    css: C:/R/win-library/3.4/summarytools/includes/stylesheets/summarytools.css
    toc: yes
    toc_depth: '4'
    df_print: paged
editor_options: 
  chunk_output_type: inline
---

```{r packages, message=FALSE, warning=FALSE, echo=FALSE, results="hide"}

if (!require("pacman")) install.packages("pacman")
pacman::p_load(    # List all packages here - checks whether they are installed
  "readr",         # For reading csv-data file
  "tidyverse",     # For data transformations
  "summarytools",  # For Codebook Stats
  "kable",         # Tables
  "kableExtra"     # Tables
) 

```


```{r data, message=FALSE, warning=FALSE, echo=FALSE, results="hide"}
# Setting Working directory to folder where this script is located
library("rstudioapi")
setwd(dirname(rstudioapi::getActiveDocumentContext()$path))

# Importing data
load("wave2_final.RData")
wave2 <- wave2_anon
```

```{r tablesettings, echo = F}
st_options('footnote' = NA)          # Gets rid of citation in footnote
st_options('headings' = F)           # Gets rid of weird header over table
st_options('display.labels' = T)    # Displays variable and value labels
st_options('dfSummary.na.col' = F)  # Excludes NA column
st_options(dfSummary.graph.magnif = 0.75) # Shrink graphs
# st_options(dfSummary.custom.1 = NA) # No IQR etc. in the Stats / Values column
st_options(dfSummary.varnumbers	= F) # No numbering of vars
# st_options(dfSummary.custom.1 = expression(paste(
#   "Valid Obs:"), format_number(sum(!is.na(wave1$sfs)), round.digits), 
#   paste0("(", format_number(sum(!is.na(column_data)/length(wave1$sfs)), round.digits) ,"%)"),
#   "Missing:", format_number(sum(is.na(column_data)), round.digits), 
#   paste0("(", format_number(sum(is.na(column_data)/length(wave1$sfs)), round.digits) ,"%)"),
#   collapse = "", sep = "")
# )
```

## Meta-Data

##  Information / Read Me

If there are any questions about the data set or requests to share data, please direct them to: *Menzner@em.uni-frankfurt.de*. 

### Information about randomized display orders 

This survey includes many randomizations - both in explicitly designed experiments and in order to avoid and detect ordering effects. In each section of the following overview, first descriptive statistics will be presented for the contextual variables followed by a table-style overview of randomization variables. These include:

a) Variables starting with **"io_"** denote the displayed *item order* within a larger answer matrix underneath a single question.
b) Variables starting with **"qo_"** denote the displayed *question order* within a question block.
c) Variables starting with **"bo_"** denote the displayed *block order* within the overall survey flow. 
d) Additional contextual randomizations (e.g. within question phrasing) are explained explicitly within their respective section.

Note, that generally the presented descriptive data is the average over all randomizations. For some select, relevant cases, we also present the descriptive data for the singular randomization conditions. 

## General Items
```{r, echo = F}
# Selecting relevant variables
general <- wave2 %>% 
  dplyr::select(attentioncheck, suspicious, duration)

# Printing data description
table <- summarytools::dfSummary(general)
view(table, method = 'render')
```
- **start** denotes date and time the respondent started the survey
- **end** denotes date and time the respondent finished the survey

## Experiment: Tolerance on the Internet
### Descriptive Overview

```{r, echo = F}
# Selecting relevant variables
tolerance <- wave2 %>%
dplyr::select(starts_with("tol"))

# Printing data description
table <- summarytools::dfSummary(tolerance)
view(table, method = 'render')
```

### Randomization Variables

*Note: Every respondent got presented four out of the ten available statements. For all other statements, respondents have the Value 'NA'. Unfortunately, it is not recorded in which order the statements were presented.*


## Internet & Social Media
### Descriptive Overview

```{r, echo = F}
# Selecting relevant variables
socialmedia <- wave2 %>%
dplyr::select(internetuse, starts_with("sm"))

# Printing data description
table <- summarytools::dfSummary(socialmedia)
view(table, method = 'render')
```
### Randomization Variables

```{r, echo=F, warning= F, include = T}
  sm_random <- data.frame( Variables = c(" ",
  "io_sm_whatsapp", "io_sm_facebook", "io_sm_instagram", "io_sm_youtube", "io_sm_twitter", "io_sm_snapchat", "io_sm_tiktok", "io_sm_telegram", "io_sm_signal", " ",
  "io_sm_pol_whatsapp", "io_sm_pol_facebook", "io_sm_pol_instagram", "io_sm_pol_youtube", "io_sm_pol_twitter", "io_sm_pol_snapchat", "io_sm_pol_tiktok", "io_sm_pol_telegram", "io_sm_pol_signal", " ",
  "io_sm_dis_strongsfs", "io_sm_dis_constructive", "io_sm_dis_unfriendly", "io_sm_dis_neutral", "io_sm_dis_hatespeech", " ", 
  "qo_sm_exp", "qo_sm_act"  ),
  Meaning = c("SOCIAL MEDIA USAGE",
              "Placement of 'sm_whatsapp' in 'Social Media Use' question matrix",
              "Placement of 'sm_facebook' in 'Social Media Use' question matrix",
              "Placement of 'sm_instagram' in 'Social Media Use' question matrix",
              "Placement of 'sm_youtube' in 'Social Media Use' question matrix",
              "Placement of 'sm_twitter' in 'Social Media Use' question matrix",
              "Placement of 'sm_snapchat' in 'Social Media Use' question matrix",
              "Placement of 'sm_tiktok' in 'Social Media Use' question matrix",
              "Placement of 'sm_telegram' in 'Social Media Use' question matrix",
              "Placement of 'sm_signal' in 'Social Media Use' question matrix",
              "SOCIAL MEDIA USAGE: POLITICAL",
              "Placement of 'sm_pol_whatsapp' in 'Social Media Use: Political' question matrix",
              "Placement of 'sm_pol_facebook' in 'Social Media Use: Political' question matrix",
              "Placement of 'sm_pol_instagram' in 'Social Media Use: Political' question matrix",
              "Placement of 'sm_pol_youtube' in 'Social Media Use: Political' question matrix",
              "Placement of 'sm_pol_twitter' in 'Social Media Use: Political' question matrix",
              "Placement of 'sm_pol_snapchat' in 'Social Media Use: Political' question matrix",
              "Placement of 'sm_pol_tiktok' in 'Social Media Use: Political' question matrix",
              "Placement of 'sm_pol_telegram' in 'Social Media Use: Political' question matrix",
              "Placement of 'sm_pol_signal' in 'Social Media Use: Political' question matrix",
              "SOCIAL MEDIA: DISCUSSIONS",
              "Placement of 'sm_dis_strongsfs' in 'Social Media: Discussions' question matrix",
              "Placement of 'sm_dis_constructive' in 'Social Media: Discussions' question matrix",
              "Placement of 'sm_dis_unfriendly' in 'Social Media: Discussions' question matrix",
              "Placement of 'sm_dis_neutral' in 'Social Media: Discussions' question matrix",
              "Placement of 'sm_dis_hatespeech' in 'Social Media: Discussions' question matrix",
              "ORDER: SOCIAL MEDIA EXPERIENCES & ACTIONS",
              "Placement of 'Social Media Experiences' question matrix in 'Social Media' block",
              "Placement of 'Social Media Actions' question matrix in 'Social Media' block"
              
  ) 
)

kable(sm_random, format = "pipe", align = c("l", "l")) %>% 
  kable_classic(full_width = T, position = "center" ) 
```

## List Experiment: Self-Censorship
### Descriptive Overview

```{r, echo = F}
# Selecting relevant variables
listex <- wave2 %>%
dplyr::select(starts_with("listex_dir"), listex_1, listex_2, listex_3)

# Printing data description
table <- summarytools::dfSummary(listex)
view(table, method = 'render')
```
### Randomization Variables

```{r, echo = F, warning = F, include = T}
listex_random <- data.frame(Variables = c(" ","io_listex_direct_equality", "io_listex_direct_racism", "io_listex_direct_climate", " ", "listex_sens1", "listex_sens2", "listex1", "listex2", "listex3", "io_listex_c1_income", "io_listex_c1_eu", "io_listex_c1_covid", "io_listex_c1_sens",  "io_listex_c2_referendum", "io_listex_c2_rent",  "io_listex_c2_economy", "io_listex_c2_sens", "io_listex_c3_manager", "io_listex_c3_örr", "io_listex_c3_meat", "io_listex_c3_sens"),
                            Meaning = c("DIRECT QUESTIONING",
                                        "Placement of 'listex_direct_equality' in 'Direct List Experiment' question matrix",
                                        "Placement of 'listex_direct_racism' in 'Direct List Experiment' question matrix",
                                        "Placement of 'listex_direct_climate' in 'Direct List Experiment' question matrix",
                                        "EXPERIMENT COMPOSITION",
                                         "First selected sensitive item",
                                        "Second selected sensitive item",
                                        "Whether the first item list was used as control or presented with treatment (i.e. including a sensitive item)",
                                        "Whether the second item list was used as control or presented with treatment (i.e. including a sensitive item)",
                                        "Whether the third item list was used as control or presented with treatment (i.e. including a sensitive item)", "Placement of 'income' statement in 'Control Set 1' ",
                                        "Placement of 'eu' statement in 'Control Set 1' ",
                                        "Placement of 'covid' statement in 'Control Set 1' ",
                                        "Placement of randomized sensitive statement in 'Control Set 1' (if applicable) ",
                                        "Placement of 'referendum'statement in 'Control Set 2' ",
                                        "Placement of 'rent' statement in 'Control Set 2' ",
                                        "Placement of 'economy' statement in 'Control Set 2' ",
                                        "Placement of randomized sensitive statement in 'Control Set 2' (if applicable) ",
                                        "Placement of 'manager'statement in 'Control Set 3' ",
                                        "Placement of 'public broadcasting' statement in 'Control Set 3' ",
                                        "Placement of 'meat consumption' statement in 'Control Set 3' ",
                                        "Placement of randomized sensitive statement in 'Control Set 3' (if applicable) "
                                        )
)

kable(listex_random, format = "pipe", align = c("l", "l")) %>% 
  kable_classic(full_width = T, position = "center" ) 
```

*Note: Due to a coding error, 'listex_sens1' was always only presented with the first and second set of control items, and 'listex_sens2' only with the third set of control item.*


## Sanctions
### Descriptive Overview

```{r, echo = F}
# Selecting relevant variables
sanctions<- wave2 %>%
dplyr::select(starts_with("sanc"))

# Printing data description
table <- summarytools::dfSummary(sanctions)
view(table, method = 'render')
```
### Randomization Variables

```{r, echo=F, warning= F, include = T}
sanc_random <- data.frame( Variables = c(" ",
   "io_sancdisprob_disagreement", "io_sancdisprob_insulting", "io_sancsocprob_online", "io_sancsocprob_wronggroup", "io_sancclaprob_friends", "io_sancclaprob_job",  "io_sancclaprob_law",  " ", "io_sancdiscost_disagreement", "io_sancdiscost_insulting", "io_sancsoccost_online", "io_sancsoccost_wronggroup", "io_sancclacost_friends", "io_sancclacost_job",  "io_sancclacost_law",  "io_attentioncheck", " ", "qo_sanccost", "qo_sancprob", 
   " ", "bo_sanccla", "bo_sancoth"),
  Meaning = c("SANCTION PROBABILITIES",
              "Placement of 'sancdisprob_disagreement' in 'Sanction Probability: Other' question matrix",
              "Placement of 'sancdisprob_insulting' in 'Sanction Probability: Other' question matrix",
              "Placement of 'sancsocprob_online' in 'Sanction Probability: Other' question matrix",
              "Placement of 'sancsocprob_wronggroup' in 'Sanction Probability: Other' question matrix",
              "Placement of 'sancclaprob_friends' in 'Sanction Probability: Classic' question matrix",
              "Placement of 'sancclaprob_job' in 'Sanction Probability: Classic' question matrix",
              "Placement of 'sancclaprob_law' in 'Sanction Probability: Classic' question matrix",
              "SANCTION COSTS",
              "Placement of 'sancdiscost_disagreement' in 'Sanction Costs: Other' question matrix",
              "Placement of 'sancdiscost_insulting' in 'Sanction Costs: Other' question matrix",
              "Placement of 'sancsoccost_online' in 'Sanction Costs: Other' question matrix",
              "Placement of 'sancsoccost_wronggroup' in 'Sanction Costs: Other' question matrix",
              "Placement of 'sancclacost_friends' in 'Sanction Costs: Classic' question matrix",
              "Placement of 'sancclacost_job' in 'Sanction Costs: Classic' question matrix",
              "Placement of 'sancclacost_law' in 'Sanction Costs: Classic' question matrix",
              "Placement of 'attention check' item in 'Sanction Costs: Classic' question matrix",
              "PROBABILITIES VS. COSTS",
              "Placement of 'Costs' question matrix within Sanction blocks",
              "Placement of 'Probabilities' question matrix within Sanction blocks",
              "CLASSIC VS. OTHER",
              "Position of 'Classic' Sanction-block in survey flow",
              "Position of 'Other' Sanction-block in survey flow"
  ))

 
 kable(sanc_random, format = "pipe", align = c("l", "l")) %>% 
   kable_classic(full_width = T, position = "center" ) 
```


## Conjoint Experiment: Allowed to Say (Reversed)
### Variables
*Note: There were five randomized conjoint statements to which support was surveyed binary (with ave. agreement around 40 %). The variables for all five iterations follow the same logic as the one presented below (replacing “1” with the numbers '2' to '5').*

Example Statement with randomization variable labels in brackets: **Ein männlicher [Female] Politiker [Speaker ID], der regelmäßg [Frequency] Homosexuelle [Target ID  & Targetgroup] im Internet [Context] bedroht [Content], sollte keine Geldstrafe zahlen müssen [Response], auch wenn diese Gruppe sich beleidigt fühlt [Reaction].**

```{r, echo = F, warning = F, include = T}
conjoint_random <- data.frame(Variables = c(" ", "conj1", " ", "conj1_speakerfemale", "conj1_speakerid", "conj1_targetgroup", "conj1_targetsex", "conj1_targetid", "conj1_context", "conj1_response", "conj1_frequency", "conj1_content", "conj1_reaction"),
                             Meaning = c("OUTCOME VARIABLES", 
                                         "Agreement with the statement", 
                                         "RANDOMIZED ATTRIBUTES", 
                                         "Whether speaker is female or not",
                                         "The speaker's social identity",
                                         "Whether the target is a group or a singular person",
                                         "If a singular person, the target's sex",
                                         "The target's social identity",
                                         "In which social context the situation is placed",
                                         "Which sanction the speaker should face",
                                         "How often the situation occurs",
                                         "What the speaker effectively says",
                                         "How the target reacts")
                             )
kable(conjoint_random, format = "pipe", align = c("l", "l")) %>% 
  kable_classic(full_width = T, position = "center" ) 
```

## Media Sources
### Descriptive Overview

```{r, echo = F}
# Selecting relevant variables
media_sources <- wave2 %>%
dplyr::select(media_boulevard, media_qualpaper, media_localpaper, media_privatetv, media_publictv, media_privateradio, media_publicradio, media_blogs)

# Printing data description
table <- summarytools::dfSummary(media_sources)
view(table, method = 'render')
```
### Randomization Variables

```{r, echo=F, warning= F, include = T}
  mediasource_random <- data.frame( Variables = c(
  "io_media_boulevard", "io_media_qualpaper", "io_media_localpaper", "io_media_privatetv", "io_media_publictv", "io_media_privateradio", "io_media_publicradio", "io_media_blogs"),
  Meaning = c("Placement of 'media_boulevard' in 'Media Sources' question matrix",
              "Placement of 'media_qualpaper' in 'Media Sources' question matrix",
              "Placement of 'media_localpaper' in 'Media Sources' question matrix",
              "Placement of 'media_privatetv' in 'Media Sources' question matrix",
              "Placement of 'media_publictv' in 'Media Sources' question matrix",
              "Placement of 'media_privateradio' in 'Media Sources' question matrix",
              "Placement of 'media_publicradio' in 'Media Sources' question matrix",
              "Placement of 'media_blogs' in 'Media Sources' question matrix") 
)

kable(mediasource_random, format = "pipe", align = c("l", "l")) %>% 
  kable_classic(full_width = T, position = "center" ) 
```

## Media Assessments
### Descriptive Overview

```{r, echo = F}
# Selecting relevant variables
media_assessments <- wave2 %>%
dplyr::select(starts_with("mediabias"), starts_with("mediarep"), starts_with("mediatrust"), starts_with("mediasfs"))

# Printing data description
table <- summarytools::dfSummary(media_assessments)
view(table, method = 'render')
```
### Randomization Variables

```{r, echo=F, warning= F, include = T}
  mediabias_random <- data.frame( Variables = c(" ",
  "io_mediabias_majority", "io_mediabias_minority", "io_mediabias_balanced", "io_mediabias_örrbiased", "io_mediabias_established", " ",  "io_mediarep_established", "io_mediarep_alternative", " ",
  "io_mediatrust_ard", "io_mediatrust_zdf", "io_mediatrust_bild", "io_mediatrust_spiegel", "io_mediatrust_zeit", "io_mediatrust_tichy", "io_mediatrust_welt", "io_mediatrust_faz", "io_mediatrust_sz", "io_mediatrust_reitschuster", "io_mediatrust_rt", "io_mediatrust_pi", "io_mediatrust_jungefr", "io_mediatrust_compact", "io_mediatrust_taz", "io_mediatrust_jungewelt", "io_mediatrust_sat1", "io_mediatrust_pro7", "io_mediatrust_rtl"),
  Meaning = c("MEDIA BIAS",
              "Placement of 'mediabias_majority' in 'Media Bias' question matrix",
              "Placement of 'mediabias_minority' in 'Media Bias' question matrix",
              "Placement of 'mediabias_balanced' in 'Media Bias' question matrix",
              "Placement of 'mediabias_örrbiased' in 'Media Bias' question matrix",
              "Placement of 'mediabias_established' in 'Media Bias' question matrix",
              "MEDIA REPRESENTATION",
              "Placement of 'mediarep_established' in 'Media Bias' question matrix",
              "Placement of 'mediarep_alternative' in 'Media Bias' question matrix",
              "MEDIA TRUST", 
              "Placement of 'mediatrust_ard' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_zdf' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_bild' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_spiegel' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_zeit' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_tichy' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_welt' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_faz' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_sz' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_reitschuster' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_rt' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_pi' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_jungefr' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_compact' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_taz' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_jungewelt' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_sat1' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_pro7' in 'Media Trust' question matrix",
              "Placement of 'mediatrust_rtl' in 'Media Trust' question matrix"
))

kable(mediabias_random, format = "pipe", align = c("l", "l")) %>% 
  kable_classic(full_width = T, position = "center" ) 
```

## Partisanship
### Descriptive Overview

```{r, echo = F}
# Selecting relevant variables
pid_nid <- wave2 %>%
dplyr::select(pid, pid_other, nid, nid_other, starts_with("aff_pos"))

# Printing data description
table <- summarytools::dfSummary(pid_nid)
view(table, method = 'render')
```

```{r, echo = F, warning = F, include = T}
vote_random <- data.frame(Variables = c(" ", "io_pid_left", "io_pid_greens", "io_pid_spd", "io_pid_cdu", "io_pid_csu", "io_pid_fdp", "io_pid_afd", "io_nid_left", "io_nid_greens", "io_nid_spd", "io_nid_cdu", "io_nid_csu", "io_nid_fdp", "io_nid_afd", " ", "io_aff_pos_criticism", "io_aff_pos_positive", "io_aff_pos_similar"),
                          Meaning = c(
              "POSITIVE & NEGATIVE PARTISAN IDs",
              "Placement of Party 'Left' in 'Positive Partisanship' answering matrix",
              "Placement of Party 'Greens' in 'Positive Partisanship' answering matrix",
              "Placement of Party 'SPD' in 'Positive Partisanship' answering matrix",
              "Placement of Party 'CDU' in 'Positive Partisanship' answering matrix",
              "Placement of Party 'CSU' in 'Positive Partisanship' answering matrix",
              "Placement of Party 'FDP' in 'Positive Partisanship' answering matrix",
              "Placement of Party 'AfD' in 'Positive Partisanship' answering matrix",
              "Placement of Party 'Left' in 'Negative Partisanship' answering matrix",
              "Placement of Party 'Greens' in 'Negative Partisanship' answering matrix",
              "Placement of Party 'SPD' in 'Negative Partisanship' answering matrix",
              "Placement of Party 'CDU' in 'Negative Partisanship' answering matrix",
              "Placement of Party 'CSU' in 'Negative Partisanship' answering matrix",
              "Placement of Party 'FDP' in 'Negative Partisanship' answering matrix",
              "Placement of Party 'AfD' in 'Negative Partisanship' answering matrix",
              "AFFECTIVE POLARIZATION SCALE",
              "Placement of 'aff_pos_criticism' in 'Positive Affective Partisanship' question matrix",
              "Placement of 'aff_pos_positive' in 'Positive Affective Partisanship' question matrix",
              "Placement of 'aff_pos_similar' in 'Positive Affective Partisanship' question matrix"
              )
)


kable(vote_random, format = "pipe", align = c("l", "l")) %>% 
  kable_classic(full_width = T, position = "center" ) 
```
## Conjoint Experiment: Identification & Prestige

### Variables
*Note: There were five tasks in which respondents had to choose between two randomized conjoint profiles(Person A and Person B) whom 'they feel more connected to'. Subsequently, they were asked for both profiles (on a scale from 0-10, how connected they feel to this person) The variables for all five iterations follow the same logic as the one presented below (replacing “1” with the numbers '2' to '5').*

Example Statement with randomization variable labels in brackets: **Ein männlicher [Female] Politiker [Speaker ID], der regelmäßg [Frequency] Homosexuelle [Target ID  & Targetgroup] im Internet [Context] bedroht [Content], sollte keine Geldstrafe zahlen müssen [Response], auch wenn diese Gruppe sich beleidigt fühlt [Reaction].**

```{r, echo = F, warning = F, include = T}
conjoint_random <- data.frame(Variables = c("prime", " ", "socconj1_decision", "socconj1_a_connect", "socconj1_b_connect", "socconj1_a_prestige", "socconj1_b_prestige",  " ", "socconj_1a_age / socconj_1b_age", "socconj_1a_sex / socconj_1b_sex",
                                            "socconj_1a_nat / socconj_1b_nat","socconj_1a_urban / socconj_1b_urban","socconj_1a_edu / socconj_1b_edu","socconj_1a_job / socconj_1b_job", "socconj_1a_inc / socconj_1b_inc", "socconj_1a_pol / socconj_1b_pol"),
                             Meaning = c("Wether respondents received a prime before the conjoint or not (see below for more information",
                                         "OUTCOME VARIABLES", 
                                         "Wording: Which of these two people do you feel more connected to?",
                                         "Wording: On a scale from 0 (not at all connected) to 10 (very strongly connected), how strongly do you feel connected to <u> Person A </u>?",
                                         "Wording: On a scale from 0 (not at all connected) to 10 (very strongly connected), how strongly do you feel connected to <u> Person B </u>?",
                                         "Wording: The German republic's society can be divided into different social classes. On a scale from 0 (at the bottom) to 10 (at the top), in which social class is <u> Person A </u> located?",
                                         "Wording: The German republic's society can be divided into different social classes. On a scale from 0 (at the bottom) to 10 (at the top), in which social class is <u> Person B </u> located?",
                                         "RANDOMIZED PROFILE ATTRIBUTES", 
                                         "Person A / B's Age",
                                         "Person A / B's Sex",
                                         "Person A / B's Nationality",
                                         "Urbanity of Person A / B's Residence",
                                         "Person A / B's Education",
                                         "Person A / B's Job",
                                         "Person A / B's Income",
                                         "Person A / B's Political Affiliation"
                                         )
                             )
kable(conjoint_random, format = "pipe", align = c("l", "l")) %>% 
  kable_classic(full_width = T, position = "center" ) 
```

### Additional Randomizations

Prime Logic: 

If pid != 'None', 50% receive the partisan prime, 50% do not receive a prime. 

If pid == 'None', 50% receive the placebo prime, 50% do not receive a prime. 

- **socconj_partisanprime** denotes the open entry for those who received the partisan prime experimental condition with the prompt:
"Its generally said, that supporters of the same party are connected by many things. For example their financial situation, their hobbies or political opinions.
When you think about yourself: What connects you personally with the average voter of [PID]? Please write 2-3 sentences."
- **socconj_placeboprime** denotes the open entry for those who received the placebo prime experimental condition with the prompt:
"Please write 2-3 sentences about how your perfect vacation would look like."

```{r, echo = F, warning = F, include = T}
socconj_random <- data.frame(Variables = c("bo_socconj", 
                                           "bo_pidscale"),
                          Meaning = c("Whether the Conjoint was presented before or after the PID scale items",
                                      "Whether the PID scale items was presented before or after the Conjoint"
              )
)


kable(socconj_random, format = "pipe", align = c("l", "l")) %>% 
  kable_classic(full_width = T, position = "center" ) 
```

*Note: All five pages of the this conjoint experiment have also been timed. Variables are stored as 'socconj1_timing_first' [time until first click], 'socconj1_timing_last' [time until last click], 'socconj1_timing_total' [time until exiting page], and 'socconj1_clickcount' [no. of clicks]. Replace socconj1 with 2-5 for other iterations.*

## SFS Variables

### Descriptive Overview

```{r, echo = F}
# Selecting relevant variables
sfs <- wave2 %>% 
  dplyr::select(starts_with("sfs"))
# Printing data description
table <- summarytools::dfSummary(sfs)
view(table, method = 'render')
```

### Randomization Variables

```{r, echo=F, warning= F, include = T}
  sfs_random <- data.frame( Variables = c(" ",
  "io_sfs_threatening", "io_sfs_leftdict", "io_sfs_rightdict", "io_sfs_elite", "io_sfs_lawful", "io_sfs_lawless", "io_sfs_taboo", "io_sfs_controversial", "io_sfs_critized", "io_sfs_limited", "io_sfs_free", "io_sfs_wrongword", " ", 
  "qo_sfs_countries_public", "qo_sfs-Countries_state"),
  Meaning = c("SFS BATTERY",
              "Placement of 'sfs_threatening' in 'SFS Battery' question matrix",
              "Placement of 'sfs_leftdict' in 'SFS Battery' question matrix",
              "Placement of 'sfs_rightdict' in 'SFS Battery' question matrix",
              "Placement of 'sfs_elite' in 'SFS Battery' question matrix",
              "Placement of 'sfs_lawful' in 'SFS Battery' question matrix",
              "Placement of 'sfs_lawless' in 'SFS Battery' question matrix",
              "Placement of 'sfs_taboo' in 'SFS Battery' question matrix",
              "Placement of 'sfs_controversial' in 'SFS Battery' question matrix",
              "Placement of 'sfs_critized' in 'SFS Battery' question matrix",
              "Placement of 'sfs_limited' in 'SFS Battery' question matrix",
              "Placement of 'sfs_free' in 'SFS Battery' question matrix",
              "Placement of 'sfs_wrongword' in 'SFS Battery' question matrix",
              "STATE EVALUATION: PUBLIC VS. STATE",
              "Placement of 'Public' item in all country evaluations",
              "Placement of 'State' item in all country evaluations"
  ) 
)

kable(sfs_random, format = "pipe", align = c("l", "l")) %>% 
  kable_classic(full_width = T, position = "center" ) 
```

*Note: Every respondent got presented four out of the ten available countries For all other countries, respondents have the Value 'NA'. Unfortunately, it is not recorded in which order the countries were presented.*


## Socio-Demographics
### Descriptive Overview

```{r, echo = F}
# Selecting relevant variables
sd <- wave2 %>%
dplyr::select(urban, income)

# Printing data description
table <- summarytools::dfSummary(sd)
view(table, method = 'render')
```

