1 Description

This is the codebook of “Study 2” from the manuscript http://dx.doi.org/10.23668/psycharchives.3364 .
Data is embeded in this file. To download the data as CSV click here.

Structure of the codebook:

Participants consecuatively received two abstracts (stimulus)
They answered the scales in response to one abstract (stimulus) at a time.
The codebook reports each item and scale for the abstracts separately
“abs1_” or “abs2_” in the scale name indicates if the item/scale refers to the first or second abstract

2 Metadata

load(here("9_data+codebooks/rbt_study2_scientists.RData"))
rbt_sci <- rbt


# define several variables as character so they get plotted better
rbt_sci$position <- as.character(rbt_sci$position)
rbt_sci$country <- as.character(rbt_sci$country)

rbt_sci <- rbt_sci %>%
  rename_at(vars(abs1_tsc_2, abs2_tsc_2),  add_R)

rbt_sci <- rbt_sci %>% 
    mutate_at(vars(matches("\\dR$")), reverse_labelled_values)


rbt_sci <- detect_scales(rbt_sci, quiet = FALSE)

metadata(rbt_sci)$name <- "Journals’ Open Science Badges Foster Trust in Scientists. Study 2: Scientists Sample."
metadata(rbt_sci)$description <- "Code book to manuscript"
metadata(rbt_sci)$identifier <- ""
metadata(rbt_sci)$datePublished <- "2021-07-12"
metadata(rbt_sci)$creator <- list(
      "@type" = "Person",
      givenName = "Schneider", familyName = "Jürgen",
      email = "juergen.schneider@uni-tuebingen.de", 
      affiliation = list("@type" = "Organization",
        name = "University of Tübingen"))
metadata(rbt_sci)$citation <- "Schneider, J. (2021). Journals’ Open Science Badges Foster Trust in Scientists. Codebook of Study 2: Scientists sample"

# add variable labels
var_label(rbt_sci) <- list(
        treat1 = "First treatment condition, the participant was assigned to.",
        treat2 = "Second treatment condition, the participant was assigned to.",
        first_topic = "Topic the participant received first.",
        country = "Country of residence",
        abs1_tru_exp_1 = "competent - incompetent",
        abs1_tru_exp_2 = "intelligent - unintelligent",
        abs1_tru_exp_3 = "well educated -   poorly educated",
        abs1_tru_exp_4 = "professional - unprofessional",
        abs1_tru_exp_5 = "experienced - inexperienced",
        abs1_tru_exp_6 = "qualified - unqualified",
        abs1_tru_int_1 = "sincere - insincere",
        abs1_tru_int_2 = "honest - dishonest",
        abs1_tru_int_3 = "just - unjust",
        abs1_tru_int_4 = "fair - unfair",
        abs1_tru_ben_1 = "moral - immoral",
        abs1_tru_ben_2 = "ethical - unethical",
        abs1_tru_ben_3 = "responsible - irresponsible",
        abs1_tru_ben_4 = "considerate - inconsiderate",
        abs2_tru_exp_1 = "competent - incompetent",
        abs2_tru_exp_2 = "intelligent - unintelligent",
        abs2_tru_exp_3 = "well educated -   poorly educated",
        abs2_tru_exp_4 = "professional - unprofessional",
        abs2_tru_exp_5 = "experienced - inexperienced",
        abs2_tru_exp_6 = "qualified - unqualified",
        abs2_tru_int_1 = "sincere - insincere",
        abs2_tru_int_2 = "honest - dishonest",
        abs2_tru_int_3 = "just - unjust",
        abs2_tru_int_4 = "fair - unfair",
        abs2_tru_ben_1 = "moral - immoral",
        abs2_tru_ben_2 = "ethical - unethical",
        abs2_tru_ben_3 = "responsible - irresponsible",
        abs2_tru_ben_4 = "considerate - inconsiderate",
        position = "What is your current position?",
        position_oth = "please specify other position"
)


# add value labels ##################################
val_labels(rbt_sci$treat1) <- c("Greyed out badges (no adherence to Open Science standards)" = "GB",
                                "Control Condition (no badges)" = "CC",
                                "Colored out badges (adherence to Open Science standards)" = "CB")

val_labels(rbt_sci$treat2) <- c("Greyed out badges (no adherence to Open Science standards)" = "GB",
                                "Control Condition (no badges)" = "CC",
                                "Colored out badges (adherence to Open Science standards)" = "CB")


# semantic differentials
add_semantic_diff <- function(x) {
  val_labels(x) <- c("1" = 1,
                     "2" = 2,
                     "3" = 3,
                     "4" = 4,
                     "5" = 5,
                     "6" = 6,
                     "7" = 7)
  x
}

rbt_sci <- rbt_sci %>%
  mutate_at(vars(abs1_tru_exp_1:abs1_tru_ben_4, abs2_tru_exp_1:abs2_tru_ben_4),  add_semantic_diff)

# position
val_labels(rbt_sci$position) <- c("Graduate Research Assistant/ Postgraduate Researcher" = "1",
                                  "Postdoctoral Researcher" = "2",
                                  "Lecturers" = "3",
                                  "Senior Lecturers" = "4",
                                  "Professors/ Readers" = "5",
                                  "other" = "-999")

# country
val_labels(rbt_sci$country) <- c("United Kingdom" = "1",
                                 "Republic of Ireland" = "2",
                                 "USA" = "3",
                                 "Canada" = "4",
                                 "other" = "-999")

3 Codebook

3.0.1 Metadata

3.0.1.1 Description

Dataset name: Journals’ Open Science Badges Foster Trust in Scientists. Study 2: Scientists Sample.

Code book to manuscript

Metadata for search engines

Citation: Schneider, J. (2021). Journals’ Open Science Badges Foster Trust in Scientists. Codebook of Study 2: Scientists sample
Identifier:
Date published: 2021-07-12
Creator:

name	value
@type	Person
givenName	Schneider
familyName	Jürgen
email	juergen.schneider@uni-tuebingen.de
affiliation	Organization , University of Tübingen

x
session
abs1_tsm_1
abs1_tsm_2
abs1_tsm_3
abs1_tsm_4
abs1_tsc_1
abs1_tsc_2R
abs1_tsc_3
abs1_tru_exp_1
abs1_tru_exp_2
abs1_tru_exp_3
abs1_tru_exp_4
abs1_tru_exp_5
abs1_tru_exp_6
abs1_tru_int_1
abs1_tru_int_2
abs1_tru_int_3
abs1_tru_int_4
abs1_tru_ben_1
abs1_tru_ben_2
abs1_tru_ben_3
abs1_tru_ben_4
abs1_tch_1
abs1_tch_2
abs1_tch_3
abs1_tch_4
abs1_tch_5
abs2_tsm_1
abs2_tsm_2
abs2_tsm_3
abs2_tsm_4
abs2_tsc_1
abs2_tsc_2R
abs2_tsc_3
abs2_tru_exp_1
abs2_tru_exp_2
abs2_tru_exp_3
abs2_tru_exp_4
abs2_tru_exp_5
abs2_tru_exp_6
abs2_tru_int_1
abs2_tru_int_2
abs2_tru_int_3
abs2_tru_int_4
abs2_tru_ben_1
abs2_tru_ben_2
abs2_tru_ben_3
abs2_tru_ben_4
abs2_tch_1
abs2_tch_2
abs2_tch_3
abs2_tch_4
abs2_tch_5
tsm_1
tsm_2
tsm_3
sex
age
position
position_oth
country
country_oth
abs1_tsm
abs1_tsc
abs1_tru_exp
abs1_tru_int
abs1_tru_ben
abs1_tch
abs2_tsm
abs2_tsc
abs2_tru_exp
abs2_tru_int
abs2_tru_ben
abs2_tch
tsm
treat1
treat2
first_topic

#Variables

3.0.2 sex

Sex

3.0.2.1 Distribution

Distribution of values for sex

0 missing values.

3.0.2.2 Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	block_order	class	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex	Sex	mc_button		haven_labelled	0			79			0	1	2	0	1	NA	1	0	2

3.0.2.3 Item

Item options
type	type_options	name	label	optional	class	showif	value	block_order	item_order
mc_button		sex	Sex	0					79

3.0.2.4 Value labels

Response choices
name	value
1	f
2	m

3.0.3 age

Age

3.0.3.1 Distribution

Distribution of values for age

0 missing values.

3.0.3.2 Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	block_order	class	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
age	Age	mc_button		haven_labelled	0			80			0	1	16	16	50	21.532	10.75956	4	▇▁▁▁▂▁▁▁

3.0.3.3 Item

Item options
type	type_options	name	label	optional	class	showif	value	block_order	item_order
mc_button		age	Age	0					80

3.0.3.4 Value labels

Response choices
name	value
16-34	16
35-49	35
50 and above	50
Item was never rendered for this user.	NA

3.0.4 position

What is your current position?

3.0.4.1 Distribution

Distribution of values for position

0 missing values.

3.0.4.2 Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
position	What is your current position?	haven_labelled	0	1	6	0	1	NA	4	0	6

3.0.4.3 Value labels

Response choices
name	value
1	1
2	2
3	3
4	4
5	5
6	-999

3.0.5 position_oth

please specify other position

3.0.5.1 Distribution

Distribution of values for position_oth

135 missing values.

3.0.5.2 Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	block_order	class	n_missing	complete_rate	n_unique	empty	min	max	whitespace
position_oth	please specify other position	text	100	character	1	position == -999		82			135	0.46	103	0	2	97	0

3.0.5.3 Item

Item options
type	type_options	name	label	optional	class	showif	value	block_order	item_order
text	100	position_oth	please specify other position	1		position == -999			82

3.0.5.4 Value labels

Response choices
name	value

3.0.6 country

Country of residence

3.0.6.1 Distribution

Distribution of values for country

0 missing values.

3.0.6.2 Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
country	Country of residence	haven_labelled	0	1	4	0	1	NA	4	0	5

3.0.6.3 Value labels

Response choices
name	value
1	1
2	2
3	3
4	4
5	-999

3.0.7 country_oth

please specify other country

3.0.7.1 Distribution

Distribution of values for country_oth

184 missing values.

3.0.7.2 Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	block_order	class	n_missing	complete_rate	n_unique	empty	min	max	whitespace
country_oth	please specify other country	text	100	character	1	country == -999		84			184	0.264	28	0	5	15	0

3.0.7.3 Item

Item options
type	type_options	name	label	optional	class	showif	value	block_order	item_order
text	100	country_oth	please specify other country	1		country == -999			84

3.0.7.4 Value labels

Response choices
name	value

3.0.8 Scale: abs1_tsm

3.0.8.1 Overview

Reliability: ω_ordinal [95% CI] = 0.74 [0.69;0.79].

Missing: 0.

Likert plot of scale abs1_tsm items

Distribution of scale abs1_tsm

3.0.8.2 Reliability details

3.0.8.2.1 Scale diagnosis

3.0.8.2.1.1 Reliability (internal consistency) estimates

3.0.8.2.1.1 Scale structure

3.0.8.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs1_tsm_1, abs1_tsm_2, abs1_tsm_3 & abs1_tsm_4
Observations:	250
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

3.0.8.2.1.1 Estimates assuming interval level

Omega (total):	0.69
Omega (hierarchical):	0.64
Revelle’s Omega (total):	0.77
Greatest Lower Bound (GLB):	0.77
Coefficient H:	0.76
Coefficient Alpha:	0.69

3.0.8.2.1.1 Confidence intervals

Omega (total):	[0.63; 0.75]
Coefficient Alpha:	[0.62; 0.75]

3.0.8.2.1.1 Estimates assuming ordinal level

Ordinal Omega (total):	0.74
Ordinal Omega (hierarch.):	0.72
Ordinal Coefficient Alpha:	0.74

3.0.8.2.1.1 Confidence intervals

Ordinal Omega (total):	[0.69; 0.79]
Ordinal Coefficient Alpha:	[0.69; 0.79]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

3.0.8.2.1.2 Eigen values

2.078, 0.873, 0.641 & 0.408

3.0.8.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs1_tsm_1	0.487
abs1_tsm_2	0.726
abs1_tsm_3	0.379
abs1_tsm_4	0.775

3.0.8.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs1_tsm_1	0.696
abs1_tsm_2	0.776
abs1_tsm_3	0.602
abs1_tsm_4	0.793

3.0.8.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs1_tsm_1	1.98	2	0.7104	0.8429	2	0.0533	1	1	3	4	0.4031	-0.678	0.164	250	250
abs1_tsm_2	2.5	2	0.749	0.8654	1	0.0547	1	1	3	4	0.2248	-0.6485	0.152	250	250
abs1_tsm_3	2.288	2	0.7199	0.8485	1	0.0537	1	1	3	4	0.0871	-0.6717	0.17	250	250
abs1_tsm_4	2.772	3	0.6747	0.8214	1	0.052	1	2	4	4	-0.0812	-0.6708	0.166	250	250

3.0.8.2.1.6 Scattermatrix

Scatterplot

3.0.8.3 Summary statistics

name	label	type	data_type	value_labels	item_order	class	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs1_tsm_1	The insights from the text are arbitrary.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	43	left500 hide_label mc_width70	1	1	2	4	1.980	0.8428771	5	▆▁▇▁▁▅▁▁
abs1_tsm_2	The knowledge contained in the text cannot be generalized to other situations at all.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	43	left500 hide_label mc_width70	1	1	2	4	2.500	0.8654455	5	▂▁▇▁▁▆▁▂
abs1_tsm_3	The opposite of the knowledge formulated in the text would be equally right/wrong.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	43	left500 hide_label mc_width70	1	1	2	4	2.288	0.8484903	5	▃▁▇▁▁▇▁▂
abs1_tsm_4	The knowledge formulated in the text cannot claim validity for other situations.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	43	left500 hide_label mc_width70	1	1	3	4	2.772	0.8214103	5	▁▁▆▁▁▇▁▃

3.0.9 Scale: abs1_tsc

3.0.9.1 Overview

Reliability: ω_ordinal [95% CI] = 0.92 [0.9;0.94].

Missing: 0.

Likert plot of scale abs1_tsc items

Distribution of scale abs1_tsc

3.0.9.2 Reliability details

3.0.9.2.1 Scale diagnosis

3.0.9.2.1.1 Reliability (internal consistency) estimates

3.0.9.2.1.1 Scale structure

3.0.9.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs1_tsc_1, abs1_tsc_2R & abs1_tsc_3
Observations:	250
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

3.0.9.2.1.1 Estimates assuming interval level

Omega (total):	0.86
Omega (hierarchical):	0.03
Revelle’s Omega (total):	0.87
Greatest Lower Bound (GLB):	0.89
Coefficient H:	0.90
Coefficient Alpha:	0.86

3.0.9.2.1.1 Confidence intervals

Omega (total):	[0.84; 0.89]
Coefficient Alpha:	[0.83; 0.89]

3.0.9.2.1.1 Estimates assuming ordinal level

Ordinal Omega (total):	0.92
Ordinal Omega (hierarch.):	0.91
Ordinal Coefficient Alpha:	0.92

3.0.9.2.1.1 Confidence intervals

Ordinal Omega (total):	[0.9; 0.94]
Ordinal Coefficient Alpha:	[0.9; 0.93]

3.0.9.2.1.2 Eigen values

2.36, 0.409 & 0.231

3.0.9.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs1_tsc_1	0.830
abs1_tsc_2R	0.731
abs1_tsc_3	0.916

3.0.9.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs1_tsc_1	0.892
abs1_tsc_2R	0.850
abs1_tsc_3	0.917

3.0.9.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs1_tsc_1	2.904	3	0.5048	0.7105	1	0.0449	1	2	4	4	-0.1984	-0.2229	0.122	250	250
abs1_tsc_2R	3.156	3	0.5659	0.7523	1	0.0476	1	2	4	4	-0.5506	-0.1796	0.176	250	250
abs1_tsc_3	2.944	3	0.4948	0.7035	0	0.0445	1	2	4	4	-0.41	0.2864	0.096	250	250

3.0.9.2.1.6 Scattermatrix

Scatterplot

3.0.9.3 Summary statistics

name	label	type	data_type	value_labels	item_order	class	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs1_tsc_1	The statements of the just-read text are consistent with my personal opinion on the subject.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	44	left500 hide_label mc_width70	1	1	3	4	2.904	0.7104950	5	▁▁▃▁▁▇▁▃
abs1_tsc_2R	The statements of the text excerpt I just read contradict what I myself think about the topic.	mc	haven_labelled	4. fully <br />disagree, 3.  , 2.   , 1. fully <br />agree, NA. Item was never rendered for this user.	44	left500 hide_label mc_width70	1	1	3	4	3.156	0.7522817	5	▁▁▂▁▁▇▁▆
abs1_tsc_3	I agree with the statements I just read in the text excerpt.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	44	left500 hide_label mc_width70	1	1	3	4	2.944	0.7034510	5	▁▁▂▁▁▇▁▂

3.0.10 Scale: abs1_tru_exp

3.0.10.1 Overview

Reliability: ω_total [95% CI] = 0.94 [not computed].

Missing: 0.

Likert plot of scale abs1_tru_exp items

Distribution of scale abs1_tru_exp

3.0.10.2 Reliability details

3.0.10.2.1 Scale diagnosis

3.0.10.2.1.1 Reliability (internal consistency) estimates

3.0.10.2.1.1 Scale structure

3.0.10.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs1_tru_exp_1, abs1_tru_exp_2, abs1_tru_exp_3, abs1_tru_exp_4, abs1_tru_exp_5 & abs1_tru_exp_6
Observations:	250
Positive correlations:	15
Number of correlations:	15
Percentage positive correlations:	100

3.0.10.2.1.1 Estimates assuming interval level

Omega (total):	0.94
Omega (hierarchical):	0.89
Revelle’s Omega (total):	0.95
Greatest Lower Bound (GLB):	0.96
Coefficient H:	0.94
Coefficient Alpha:	0.94

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

3.0.10.2.1.2 Eigen values

4.654, 0.387, 0.313, 0.247, 0.225 & 0.174

3.0.10.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs1_tru_exp_1	0.880
abs1_tru_exp_2	0.850
abs1_tru_exp_3	0.829
abs1_tru_exp_4	0.863
abs1_tru_exp_5	0.819
abs1_tru_exp_6	0.887

3.0.10.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs1_tru_exp_1	0.896
abs1_tru_exp_2	0.882
abs1_tru_exp_3	0.864
abs1_tru_exp_4	0.885
abs1_tru_exp_5	0.853
abs1_tru_exp_6	0.903

3.0.10.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs1_tru_exp_1	2.532	2	1.6154	1.271	1	0.0804	1	1	3	6	0.6613	-0.1543	0.128	250	250
abs1_tru_exp_2	2.412	2	1.3195	1.1487	1	0.0727	1	1	3	6	0.6822	0.2342	0.13	250	250
abs1_tru_exp_3	2.268	2	1.3616	1.1669	2	0.0738	1	1	3	6	0.8857	0.2498	0.144	250	250
abs1_tru_exp_4	2.512	2	1.8814	1.3716	2	0.0867	1	1	4	7	0.7889	0.0018	0.14	250	250
abs1_tru_exp_5	2.944	3	1.9005	1.3786	2	0.0872	1	2	4	7	0.5185	-0.3025	0.132	250	250
abs1_tru_exp_6	2.592	2	1.6803	1.2962	1	0.082	1	1	3	6	0.6043	-0.2711	0.126	250	250

3.0.10.2.1.6 Scattermatrix

Scatterplot

3.0.10.3 Summary statistics

name	label	data_type	value_labels	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs1_tru_exp_1	competent - incompetent	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	6	2.532	1.270999	7	▆▇▁▇▃▁▂▁
abs1_tru_exp_2	intelligent - unintelligent	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	6	2.412	1.148710	7	▆▇▁▆▃▁▁▁
abs1_tru_exp_3	well educated - poorly educated	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	6	2.268	1.166886	7	▆▇▁▃▂▁▁▁
abs1_tru_exp_4	professional - unprofessional	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	7	2.512	1.371635	7	▇▇▆▃▁▂▁▁
abs1_tru_exp_5	experienced - inexperienced	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	7	2.944	1.378574	7	▅▇▇▅▁▂▂▁
abs1_tru_exp_6	qualified - unqualified	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	6	2.592	1.296247	7	▆▇▁▇▃▁▂▁

3.0.11 Scale: abs1_tru_int

3.0.11.1 Overview

Reliability: ω_total [95% CI] = 0.91 [not computed].

Missing: 0.

Likert plot of scale abs1_tru_int items

Distribution of scale abs1_tru_int

3.0.11.2 Reliability details

3.0.11.2.1 Scale diagnosis

3.0.11.2.1.1 Reliability (internal consistency) estimates

3.0.11.2.1.1 Scale structure

3.0.11.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs1_tru_int_1, abs1_tru_int_2, abs1_tru_int_3 & abs1_tru_int_4
Observations:	250
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

3.0.11.2.1.1 Estimates assuming interval level

Omega (total):	0.91
Omega (hierarchical):	0.87
Revelle’s Omega (total):	0.93
Greatest Lower Bound (GLB):	0.93
Coefficient H:	0.91
Coefficient Alpha:	0.91

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

3.0.11.2.1.2 Eigen values

3.124, 0.414, 0.254 & 0.207

3.0.11.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs1_tru_int_1	0.775
abs1_tru_int_2	0.854
abs1_tru_int_3	0.852
abs1_tru_int_4	0.884

3.0.11.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs1_tru_int_1	0.850
abs1_tru_int_2	0.899
abs1_tru_int_3	0.884
abs1_tru_int_4	0.902

3.0.11.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs1_tru_int_1	2.696	2.5	1.3851	1.1769	2	0.0744	1	2	4	6	0.282	-0.822	0.116	250	250
abs1_tru_int_2	2.68	3	1.6402	1.2807	2	0.081	1	2	4	6	0.3744	-0.6369	0.122	250	250
abs1_tru_int_3	2.952	3	1.4756	1.2147	2	0.0768	1	2	4	6	0.0111	-0.7619	0.124	250	250
abs1_tru_int_4	2.9	3	1.7209	1.3118	2	0.083	1	2	4	7	0.283	-0.5354	0.124	250	250

3.0.11.2.1.6 Scattermatrix

Scatterplot

3.0.11.3 Summary statistics

name	label	data_type	value_labels	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs1_tru_int_1	sincere - insincere	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2.5	6	2.696	1.176913	7	▃▇▁▅▆▁▁▁
abs1_tru_int_2	honest - dishonest	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3.0	6	2.680	1.280688	7	▆▇▁▇▆▁▂▁
abs1_tru_int_3	just - unjust	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3.0	6	2.952	1.214742	7	▃▆▁▇▇▁▂▁
abs1_tru_int_4	fair - unfair	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3.0	7	2.900	1.311824	7	▅▇▇▇▁▂▁▁

3.0.12 Scale: abs1_tru_ben

3.0.12.1 Overview

Reliability: ω_total [95% CI] = 0.9 [not computed].

Missing: 0.

Likert plot of scale abs1_tru_ben items

Distribution of scale abs1_tru_ben

3.0.12.2 Reliability details

3.0.12.2.1 Scale diagnosis

3.0.12.2.1.1 Reliability (internal consistency) estimates

3.0.12.2.1.1 Scale structure

3.0.12.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs1_tru_ben_1, abs1_tru_ben_2, abs1_tru_ben_3 & abs1_tru_ben_4
Observations:	250
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

3.0.12.2.1.1 Estimates assuming interval level

Omega (total):	0.90
Omega (hierarchical):	0.89
Revelle’s Omega (total):	0.91
Greatest Lower Bound (GLB):	0.91
Coefficient H:	0.90
Coefficient Alpha:	0.90

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

3.0.12.2.1.2 Eigen values

3.068, 0.386, 0.3 & 0.246

3.0.12.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs1_tru_ben_1	0.827
abs1_tru_ben_2	0.849
abs1_tru_ben_3	0.871
abs1_tru_ben_4	0.773

3.0.12.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs1_tru_ben_1	0.876
abs1_tru_ben_2	0.884
abs1_tru_ben_3	0.898
abs1_tru_ben_4	0.844

3.0.12.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs1_tru_ben_1	2.924	3	1.4279	1.195	2	0.0756	1	2	4	6	0.0479	-0.5128	0.132	250	250
abs1_tru_ben_2	2.788	3	1.9348	1.391	2	0.088	1	2	4	7	0.5111	-0.4223	0.108	250	250
abs1_tru_ben_3	2.78	3	1.851	1.3605	2	0.086	1	2	4	7	0.5785	-0.1748	0.118	250	250
abs1_tru_ben_4	3.012	3	1.5219	1.2337	2	0.078	1	2	4	6	0.0029	-0.6164	0.114	250	250

3.0.12.2.1.6 Scattermatrix

Scatterplot

3.0.12.3 Summary statistics

name	label	data_type	value_labels	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs1_tru_ben_1	moral - immoral	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	6	2.924	1.194963	7	▃▅▁▇▇▁▂▁
abs1_tru_ben_2	ethical - unethical	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	7	2.788	1.390969	7	▆▇▆▆▁▂▁▁
abs1_tru_ben_3	responsible - irresponsible	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	7	2.780	1.360516	7	▅▇▆▅▁▂▁▁
abs1_tru_ben_4	considerate - inconsiderate	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	6	3.012	1.233671	7	▃▅▁▆▇▁▁▁

3.0.13 Scale: abs1_tch

3.0.13.1 Overview

Reliability: ω_total [95% CI] = 0.87 [0.85;0.9].

Missing: 0.

Likert plot of scale abs1_tch items

Distribution of scale abs1_tch

3.0.13.2 Reliability details

3.0.13.2.1 Scale diagnosis

3.0.13.2.1.1 Reliability (internal consistency) estimates

3.0.13.2.1.1 Scale structure

3.0.13.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs1_tch_1, abs1_tch_2, abs1_tch_3, abs1_tch_4 & abs1_tch_5
Observations:	250
Positive correlations:	10
Number of correlations:	10
Percentage positive correlations:	100

3.0.13.2.1.1 Estimates assuming interval level

Omega (total):	0.87
Omega (hierarchical):	0.67
Revelle’s Omega (total):	0.90
Greatest Lower Bound (GLB):	0.88
Coefficient H:	0.90
Coefficient Alpha:	0.86

3.0.13.2.1.1 Confidence intervals

Omega (total):	[0.85; 0.9]
Coefficient Alpha:	[0; 0.2]

(Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 5 and the highest range is 1004. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)

3.0.13.2.1.2 Eigen values

3.176, 0.791, 0.503, 0.298 & 0.231

3.0.13.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs1_tch_1	0.548
abs1_tch_2	0.889
abs1_tch_3	0.845
abs1_tch_4	0.549
abs1_tch_5	0.818

3.0.13.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs1_tch_1	0.694
abs1_tch_2	0.885
abs1_tch_3	0.853
abs1_tch_4	0.688
abs1_tch_5	0.842

3.0.13.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs1_tch_1	-113.488	3	103309.4717	321.4179	3	20.3283	-999	1	4	4	-2.4128	3.8523	0.124	250	250
abs1_tch_2	-221.608	2	175150.1268	418.5094	3	26.4689	-999	1	4	4	-1.332	-0.2277	0.118	250	250
abs1_tch_3	-209.576	2	168335.0886	410.2866	3	25.9488	-999	1	4	4	-1.4178	0.0101	0.128	250	250
abs1_tch_4	-109.5	3	100194.2189	316.5347	3	20.0194	-999	1	4	4	-2.4755	4.1612	0.116	250	250
abs1_tch_5	-221.652	2	175130.284	418.4857	3	26.4674	-999	1	4	4	-1.332	-0.2277	0.118	250	250

3.0.13.2.1.6 Scattermatrix

Scatterplot

3.0.13.3 Summary statistics

name	label	type	data_type	value_labels	item_order	class	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs1_tch_1	It is transparent which data form the basis of the study.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	49	left500 hide_label mc_width70	1	-999	3	4	-113.488	321.4179	6	▁▁▁▁▁▁▁▇
abs1_tch_2	Interested parties can have a close look at the questionnaire of the described study.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	49	left500 hide_label mc_width70	1	-999	2	4	-221.608	418.5094	6	▂▁▁▁▁▁▁▇
abs1_tch_3	The data collected in the study are publicly available.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	49	left500 hide_label mc_width70	1	-999	2	4	-209.576	410.2866	6	▂▁▁▁▁▁▁▇
abs1_tch_4	The authors make it easy for other researchers to understand their statistical analyses.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	49	left500 hide_label mc_width70	1	-999	3	4	-109.500	316.5347	6	▁▁▁▁▁▁▁▇
abs1_tch_5	If other researchers want to repeat the study, they have easy access to the questionnaires used.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	49	left500 hide_label mc_width70	1	-999	2	4	-221.652	418.4857	6	▂▁▁▁▁▁▁▇

3.0.14 Scale: abs2_tsm

3.0.14.1 Overview

Reliability: ω_ordinal [95% CI] = 0.7 [0.64;0.76].

Missing: 0.

Likert plot of scale abs2_tsm items

Distribution of scale abs2_tsm

3.0.14.2 Reliability details

3.0.14.2.1 Scale diagnosis

3.0.14.2.1.1 Reliability (internal consistency) estimates

3.0.14.2.1.1 Scale structure

3.0.14.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs2_tsm_1, abs2_tsm_2, abs2_tsm_3 & abs2_tsm_4
Observations:	250
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

3.0.14.2.1.1 Estimates assuming interval level

Omega (total):	0.64
Omega (hierarchical):	0.57
Revelle’s Omega (total):	0.72
Greatest Lower Bound (GLB):	0.72
Coefficient H:	0.70
Coefficient Alpha:	0.65

3.0.14.2.1.1 Confidence intervals

Omega (total):	[0.57; 0.72]
Coefficient Alpha:	[0.58; 0.72]

3.0.14.2.1.1 Estimates assuming ordinal level

Ordinal Omega (total):	0.70
Ordinal Omega (hierarch.):	0.68
Ordinal Coefficient Alpha:	0.70

3.0.14.2.1.1 Confidence intervals

Ordinal Omega (total):	[0.64; 0.76]
Ordinal Coefficient Alpha:	[0.64; 0.76]

3.0.14.2.1.2 Eigen values

1.959, 0.947, 0.604 & 0.49

3.0.14.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs2_tsm_1	0.360
abs2_tsm_2	0.670
abs2_tsm_3	0.490
abs2_tsm_4	0.712

3.0.14.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs2_tsm_1	0.589
abs2_tsm_2	0.732
abs2_tsm_3	0.710
abs2_tsm_4	0.756

3.0.14.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs2_tsm_1	2.076	2	0.6729	0.8203	2	0.0519	1	1	3	4	0.3424	-0.4836	0.128	250	250
abs2_tsm_2	2.456	2	0.6025	0.7762	1	0.0491	1	1	3	4	0.2517	-0.3276	0.172	250	250
abs2_tsm_3	2.26	2	0.6108	0.7816	1	0.0494	1	1	3	4	0.2202	-0.3114	0.15	250	250
abs2_tsm_4	2.576	2.5	0.5745	0.758	1	0.0479	1	2	3	4	0.2698	-0.4585	0.19	250	250

3.0.14.2.1.6 Scattermatrix

Scatterplot

3.0.14.3 Summary statistics

name	label	type	data_type	value_labels	item_order	class	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs2_tsm_1	The insights from the text are arbitrary.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	59	left500 hide_label mc_width70	1	1	2.0	4	2.076	0.8203144	5	▅▁▇▁▁▅▁▁
abs2_tsm_2	The knowledge contained in the text cannot be generalized to other situations at all.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	59	left500 hide_label mc_width70	1	1	2.0	4	2.456	0.7761919	5	▁▁▇▁▁▆▁▂
abs2_tsm_3	The opposite of the knowledge formulated in the text would be equally right/wrong.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	59	left500 hide_label mc_width70	1	1	2.0	4	2.260	0.7815647	5	▂▁▇▁▁▅▁▁
abs2_tsm_4	The knowledge formulated in the text cannot claim validity for other situations.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	59	left500 hide_label mc_width70	1	1	2.5	4	2.576	0.7579724	5	▁▁▇▁▁▇▁▂

3.0.15 Scale: abs2_tsc

3.0.15.1 Overview

Reliability: ω_ordinal [95% CI] = 0.87 [0.85;0.9].

Missing: 0.

Likert plot of scale abs2_tsc items

Distribution of scale abs2_tsc

3.0.15.2 Reliability details

3.0.15.2.1 Scale diagnosis

3.0.15.2.1.1 Reliability (internal consistency) estimates

3.0.15.2.1.1 Scale structure

3.0.15.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs2_tsc_1, abs2_tsc_2R & abs2_tsc_3
Observations:	250
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

3.0.15.2.1.1 Estimates assuming interval level

Omega (total):	0.82
Omega (hierarchical):	0.03
Revelle’s Omega (total):	0.82
Greatest Lower Bound (GLB):	0.85
Coefficient H:	0.89
Coefficient Alpha:	0.80

3.0.15.2.1.1 Confidence intervals

Omega (total):	[0.79; 0.86]
Coefficient Alpha:	[0.76; 0.85]

3.0.15.2.1.1 Estimates assuming ordinal level

Ordinal Omega (total):	0.87
Ordinal Omega (hierarch.):	0.87
Ordinal Coefficient Alpha:	0.85

3.0.15.2.1.1 Confidence intervals

Ordinal Omega (total):	[0.85; 0.9]
Ordinal Coefficient Alpha:	[0.82; 0.89]

3.0.15.2.1.2 Eigen values

2.156, 0.619 & 0.225

3.0.15.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs2_tsc_1	0.841
abs2_tsc_2R	0.534
abs2_tsc_3	0.919

3.0.15.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs2_tsc_1	0.892
abs2_tsc_2R	0.732
abs2_tsc_3	0.908

3.0.15.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs2_tsc_1	2.788	3	0.5292	0.7274	1	0.046	1	2	4	4	-0.0927	-0.3408	0.154	250	250
abs2_tsc_2R	2.996	3	0.4699	0.6855	0	0.0434	1	2	4	4	-0.2966	0.031	0.108	250	250
abs2_tsc_3	2.856	3	0.4932	0.7023	1	0.0444	1	2	4	4	-0.2127	-0.0919	0.128	250	250

3.0.15.2.1.6 Scattermatrix

Scatterplot

3.0.15.3 Summary statistics

name	label	type	data_type	value_labels	item_order	class	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs2_tsc_1	The statements of the just-read text are consistent with my personal opinion on the subject.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	60	left500 hide_label mc_width70	1	1	3	4	2.788	0.7274426	5	▁▁▅▁▁▇▁▂
abs2_tsc_2R	The statements of the text excerpt I just read contradict what I myself think about the topic.	mc	haven_labelled	4. fully <br />disagree, 3.  , 2.   , 1. fully <br />agree, NA. Item was never rendered for this user.	60	left500 hide_label mc_width70	1	1	3	4	2.996	0.6854659	5	▁▁▂▁▁▇▁▃
abs2_tsc_3	I agree with the statements I just read in the text excerpt.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	60	left500 hide_label mc_width70	1	1	3	4	2.856	0.7023083	5	▁▁▃▁▁▇▁▂

3.0.16 Scale: abs2_tru_exp

3.0.16.1 Overview

Reliability: ω_total [95% CI] = 0.96 [not computed].

Missing: 0.

Likert plot of scale abs2_tru_exp items

Distribution of scale abs2_tru_exp

3.0.16.2 Reliability details

3.0.16.2.1 Scale diagnosis

3.0.16.2.1.1 Reliability (internal consistency) estimates

3.0.16.2.1.1 Scale structure

3.0.16.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs2_tru_exp_1, abs2_tru_exp_2, abs2_tru_exp_3, abs2_tru_exp_4, abs2_tru_exp_5 & abs2_tru_exp_6
Observations:	250
Positive correlations:	15
Number of correlations:	15
Percentage positive correlations:	100

3.0.16.2.1.1 Estimates assuming interval level

Omega (total):	0.96
Omega (hierarchical):	0.93
Revelle’s Omega (total):	0.97
Greatest Lower Bound (GLB):	0.97
Coefficient H:	0.96
Coefficient Alpha:	0.96

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

3.0.16.2.1.2 Eigen values

5.057, 0.252, 0.22, 0.186, 0.154 & 0.13

3.0.16.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs2_tru_exp_1	0.886
abs2_tru_exp_2	0.910
abs2_tru_exp_3	0.911
abs2_tru_exp_4	0.901
abs2_tru_exp_5	0.894
abs2_tru_exp_6	0.902

3.0.16.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs2_tru_exp_1	0.908
abs2_tru_exp_2	0.923
abs2_tru_exp_3	0.924
abs2_tru_exp_4	0.920
abs2_tru_exp_5	0.914
abs2_tru_exp_6	0.919

3.0.16.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs2_tru_exp_1	2.496	2	1.6968	1.3026	2	0.0824	1	1	4	7	0.6682	-0.1422	0.136	250	250
abs2_tru_exp_2	2.468	2	1.4387	1.1995	1	0.0759	1	1	4	7	0.5827	-0.0926	0.122	250	250
abs2_tru_exp_3	2.408	2	1.4393	1.1997	2	0.0759	1	1	3	7	0.5917	-0.0431	0.14	250	250
abs2_tru_exp_4	2.54	2	1.8719	1.3682	2	0.0865	1	1	4	7	0.7027	-0.1176	0.138	250	250
abs2_tru_exp_5	2.788	3	1.8946	1.3765	2	0.0871	1	2	4	7	0.4245	-0.5757	0.122	250	250
abs2_tru_exp_6	2.608	2	1.6208	1.2731	2	0.0805	1	1	4	6	0.4153	-0.65	0.12	250	250

3.0.16.2.1.6 Scattermatrix

Scatterplot

3.0.16.3 Summary statistics

name	label	data_type	value_labels	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs2_tru_exp_1	competent - incompetent	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	7	2.496	1.302602	7	▇▇▆▅▁▂▁▁
abs2_tru_exp_2	intelligent - unintelligent	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	7	2.468	1.199471	7	▆▇▆▅▁▁▁▁
abs2_tru_exp_3	well educated - poorly educated	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	7	2.408	1.199706	7	▇▇▇▅▁▁▁▁
abs2_tru_exp_4	professional - unprofessional	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	7	2.540	1.368169	7	▇▇▆▅▁▂▁▁
abs2_tru_exp_5	experienced - inexperienced	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	7	2.788	1.376457	7	▇▇▇▅▁▃▁▁
abs2_tru_exp_6	qualified - unqualified	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	2	6	2.608	1.273114	7	▇▇▁▇▅▁▂▁

3.0.17 Scale: abs2_tru_int

3.0.17.1 Overview

Reliability: ω_total [95% CI] = 0.92 [not computed].

Missing: 0.

Likert plot of scale abs2_tru_int items

Distribution of scale abs2_tru_int

3.0.17.2 Reliability details

3.0.17.2.1 Scale diagnosis

3.0.17.2.1.1 Reliability (internal consistency) estimates

3.0.17.2.1.1 Scale structure

3.0.17.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs2_tru_int_1, abs2_tru_int_2, abs2_tru_int_3 & abs2_tru_int_4
Observations:	250
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

3.0.17.2.1.1 Estimates assuming interval level

Omega (total):	0.92
Omega (hierarchical):	0.90
Revelle’s Omega (total):	0.94
Greatest Lower Bound (GLB):	0.94
Coefficient H:	0.92
Coefficient Alpha:	0.92

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

3.0.17.2.1.2 Eigen values

3.195, 0.328, 0.304 & 0.172

3.0.17.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs2_tru_int_1	0.803
abs2_tru_int_2	0.882
abs2_tru_int_3	0.833
abs2_tru_int_4	0.901

3.0.17.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs2_tru_int_1	0.870
abs2_tru_int_2	0.906
abs2_tru_int_3	0.885
abs2_tru_int_4	0.913

3.0.17.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs2_tru_int_1	2.772	3	1.4056	1.1856	2	0.075	1	2	4	7	0.3774	0.0594	0.134	250	250
abs2_tru_int_2	2.74	3	1.7353	1.3173	2	0.0833	1	2	4	6	0.447	-0.5021	0.122	250	250
abs2_tru_int_3	2.848	3	1.3824	1.1758	2	0.0744	1	2	4	6	0.164	-0.5691	0.142	250	250
abs2_tru_int_4	2.752	3	1.6812	1.2966	2	0.082	1	2	4	6	0.2921	-0.6923	0.12	250	250

3.0.17.2.1.6 Scattermatrix

Scatterplot

3.0.17.3 Summary statistics

name	label	data_type	value_labels	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs2_tru_int_1	sincere - insincere	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	7	2.772	1.185596	7	▅▇▇▆▁▁▁▁
abs2_tru_int_2	honest - dishonest	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	6	2.740	1.317324	7	▆▇▁▇▆▁▂▁
abs2_tru_int_3	just - unjust	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	6	2.848	1.175766	7	▃▇▁▇▇▁▁▁
abs2_tru_int_4	fair - unfair	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	6	2.752	1.296619	7	▇▇▁▇▇▁▂▁

3.0.18 Scale: abs2_tru_ben

3.0.18.1 Overview

Reliability: ω_total [95% CI] = 0.91 [not computed].

Missing: 0.

Likert plot of scale abs2_tru_ben items

Distribution of scale abs2_tru_ben

3.0.18.2 Reliability details

3.0.18.2.1 Scale diagnosis

3.0.18.2.1.1 Reliability (internal consistency) estimates

3.0.18.2.1.1 Scale structure

3.0.18.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs2_tru_ben_1, abs2_tru_ben_2, abs2_tru_ben_3 & abs2_tru_ben_4
Observations:	250
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

3.0.18.2.1.1 Estimates assuming interval level

Omega (total):	0.91
Omega (hierarchical):	0.90
Revelle’s Omega (total):	0.93
Greatest Lower Bound (GLB):	0.93
Coefficient H:	0.91
Coefficient Alpha:	0.91

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

3.0.18.2.1.2 Eigen values

3.153, 0.354, 0.272 & 0.221

3.0.18.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs2_tru_ben_1	0.859
abs2_tru_ben_2	0.869
abs2_tru_ben_3	0.868
abs2_tru_ben_4	0.793

3.0.18.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs2_tru_ben_1	0.895
abs2_tru_ben_2	0.897
abs2_tru_ben_3	0.901
abs2_tru_ben_4	0.858

3.0.18.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs2_tru_ben_1	2.872	3	1.4695	1.2122	2	0.0767	1	2	4	6	0.0569	-0.7755	0.124	250	250
abs2_tru_ben_2	2.772	3	1.7591	1.3263	2	0.0839	1	2	4	7	0.3949	-0.3172	0.12	250	250
abs2_tru_ben_3	2.7	3	1.6566	1.2871	2	0.0814	1	2	4	7	0.5867	0.0111	0.116	250	250
abs2_tru_ben_4	2.952	3	1.564	1.2506	2	0.0791	1	2	4	7	0.1534	-0.4482	0.128	250	250

3.0.18.2.1.6 Scattermatrix

Scatterplot

3.0.18.3 Summary statistics

name	label	data_type	value_labels	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs2_tru_ben_1	moral - immoral	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	6	2.872	1.212227	7	▅▇▁▆▇▁▂▁
abs2_tru_ben_2	ethical - unethical	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	7	2.772	1.326293	7	▇▇▇▇▁▂▁▁
abs2_tru_ben_3	responsible - irresponsible	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	7	2.700	1.287100	7	▅▇▆▅▁▂▁▁
abs2_tru_ben_4	considerate - inconsiderate	haven_labelled	1. 1, 2. 2, 3. 3, 4. 4, 5. 5, 6. 6, 7. 7	1	1	3	7	2.952	1.250581	7	▅▆▇▇▁▂▁▁

3.0.19 Scale: abs2_tch

3.0.19.1 Overview

Reliability: ω_total [95% CI] = 0.91 [0.9;0.93].

Missing: 0.

Likert plot of scale abs2_tch items

Distribution of scale abs2_tch

3.0.19.2 Reliability details

3.0.19.2.1 Scale diagnosis

3.0.19.2.1.1 Reliability (internal consistency) estimates

3.0.19.2.1.1 Scale structure

3.0.19.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	abs2_tch_1, abs2_tch_2, abs2_tch_3, abs2_tch_4 & abs2_tch_5
Observations:	250
Positive correlations:	10
Number of correlations:	10
Percentage positive correlations:	100

3.0.19.2.1.1 Estimates assuming interval level

Omega (total):	0.91
Omega (hierarchical):	0.89
Revelle’s Omega (total):	0.92
Greatest Lower Bound (GLB):	0.92
Coefficient H:	0.95
Coefficient Alpha:	0.90

3.0.19.2.1.1 Confidence intervals

Omega (total):	[0.9; 0.93]
Coefficient Alpha:	[0; 0.2]

3.0.19.2.1.2 Eigen values

3.557, 0.687, 0.461, 0.164 & 0.132

3.0.19.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
abs2_tch_1	0.505
abs2_tch_2	0.914
abs2_tch_3	0.906
abs2_tch_4	0.697
abs2_tch_5	0.940

3.0.19.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
abs2_tch_1	0.631
abs2_tch_2	0.922
abs2_tch_3	0.905
abs2_tch_4	0.791
abs2_tch_5	0.930

3.0.19.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
abs2_tch_1	-109.656	2	100159.1342	316.4793	3	20.0159	-999	1	4	4	-2.4754	4.1612	0.122	250	250
abs2_tch_2	-209.968	1	168167.8464	410.0827	2	25.9359	-999	-999	4	4	-1.4178	0.0101	0.124	250	250
abs2_tch_3	-209.98	1	168162.8871	410.0767	3	25.9355	-999	-999	4	4	-1.4177	0.0101	0.142	250	250
abs2_tch_4	-157.756	2	135340.9804	367.8872	3	23.2672	-999	1	4	4	-1.866	1.494	0.126	250	250
abs2_tch_5	-201.936	1	163473.7469	404.3189	3	25.5714	-999	-999	4	4	-1.4779	0.1858	0.142	250	250

3.0.19.2.1.6 Scattermatrix

Scatterplot

3.0.19.3 Summary statistics

name	label	type	data_type	value_labels	item_order	class	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abs2_tch_1	It is transparent which data form the basis of the study.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	70	left500 hide_label mc_width70	1	-999	2	4	-109.656	316.4793	6	▁▁▁▁▁▁▁▇
abs2_tch_2	Interested parties can have a close look at the questionnaire of the described study.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	70	left500 hide_label mc_width70	1	-999	1	4	-209.968	410.0827	6	▂▁▁▁▁▁▁▇
abs2_tch_3	The data collected in the study are publicly available.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	70	left500 hide_label mc_width70	1	-999	1	4	-209.980	410.0767	6	▂▁▁▁▁▁▁▇
abs2_tch_4	The authors make it easy for other researchers to understand their statistical analyses.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	70	left500 hide_label mc_width70	1	-999	2	4	-157.756	367.8872	6	▂▁▁▁▁▁▁▇
abs2_tch_5	If other researchers want to repeat the study, they have easy access to the questionnaires used.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, -999. (don’t know), NA. Item was never rendered for this user.	70	left500 hide_label mc_width70	1	-999	1	4	-201.936	404.3189	6	▂▁▁▁▁▁▁▇

3.0.20 Scale: tsm

3.0.20.1 Overview

Reliability: ω_ordinal [95% CI] = 0.73 [0.67;0.78].

Missing: 0.

Likert plot of scale tsm items

Distribution of scale tsm

3.0.20.2 Reliability details

3.0.20.2.1 Scale diagnosis

3.0.20.2.1.1 Reliability (internal consistency) estimates

3.0.20.2.1.1 Scale structure

3.0.20.2.1.1 Information about this scale

Dataframe:	res$dat
Items:	tsm_1, tsm_2 & tsm_3
Observations:	250
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

3.0.20.2.1.1 Estimates assuming interval level

Omega (total):	0.57
Omega (hierarchical):	0.12
Revelle’s Omega (total):	0.60
Greatest Lower Bound (GLB):	0.61
Coefficient H:	0.62
Coefficient Alpha:	0.57

3.0.20.2.1.1 Confidence intervals

Omega (total):	[0.48; 0.66]
Coefficient Alpha:	[0.48; 0.66]

3.0.20.2.1.1 Estimates assuming ordinal level

Ordinal Omega (total):	0.73
Ordinal Omega (hierarch.):	0.72
Ordinal Coefficient Alpha:	0.71

3.0.20.2.1.1 Confidence intervals

Ordinal Omega (total):	[0.67; 0.78]
Ordinal Coefficient Alpha:	[0.65; 0.77]

3.0.20.2.1.2 Eigen values

1.653, 0.762 & 0.585

3.0.20.2.1.3 Factor analysis (reproducing only shared variance)

	ML1
tsm_1	0.627
tsm_2	0.661
tsm_3	0.433

3.0.20.2.1.4 Component analysis (reproducing full covariance matrix)

	PC1
tsm_1	0.773
tsm_2	0.783
tsm_3	0.665

3.0.20.2.1.5 Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	valid
tsm_1	3.64	4	0.392	0.6261	1	0.0396	1	3	NA	4	-1.632	1.8758	0.106	250	250
tsm_2	3.716	4	0.3728	0.6106	0	0.0386	1	3	NA	4	-2.4217	6.0716	0.082	250	250
tsm_3	3.368	4	0.6512	0.807	1	0.051	1	3	NA	4	-0.9975	-0.0265	0.138	250	250

3.0.20.2.1.6 Scattermatrix

Scatterplot

3.0.20.3 Summary statistics

name	label	type	data_type	value_labels	item_order	class	complete_rate	min	median	max	mean	sd	n_value_labels	hist
tsm_1	The explanations (grey text boxes) were helpful for understanding the badges (“Open Materials”, “Open Data”, “Open Code”).	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	77	left500 hide_label mc_width70	1	1	4	4	3.640	0.6260734	5	▁▁▁▁▁▂▁▇
tsm_2	I read all additional explanations (grey text boxes) on the front pages.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	77	left500 hide_label mc_width70	1	1	4	4	3.716	0.6106024	5	▁▁▁▁▁▂▁▇
tsm_3	The badges (“Open Materials”, “Open Data”, “Open Code”) influenced my assessment of the authors.	mc	haven_labelled	1. fully <br />disagree, 2.  , 3.   , 4. fully <br />agree, NA. Item was never rendered for this user.	77	left500 hide_label mc_width70	1	1	4	4	3.368	0.8069577	5	▁▁▂▁▁▃▁▇

3.0.21 treat1

First treatment condition, the participant was assigned to.

3.0.21.1 Distribution

Distribution of values for treat1

0 missing values.

3.0.21.2 Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
treat1	First treatment condition, the participant was assigned to.	haven_labelled	0	1	3	0	2	NA	2	0	3

3.0.21.3 Value labels

Response choices
name	value
1	GB
2	CC
3	CB

3.0.22 treat2

Second treatment condition, the participant was assigned to.

3.0.22.1 Distribution

Distribution of values for treat2

0 missing values.

3.0.22.2 Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
treat2	Second treatment condition, the participant was assigned to.	haven_labelled	0	1	3	0	2	NA	2	0	3

3.0.22.3 Value labels

Response choices
name	value
1	GB
2	CC
3	CB

3.0.23 first_topic

Topic the participant received first.

3.0.23.1 Distribution

Distribution of values for first_topic

0 missing values.

3.0.23.2 Summary statistics

name	label	type	data_type	optional	showif	value	item_order	block_order	class	n_missing	complete_rate	n_unique	empty	min	max	whitespace
first_topic	Topic the participant received first.	calculate	character	0		sample(c(“mobility”, “savings”), 1, replace = F)	24			0	1	2	0	7	8	0

3.0.23.3 Item

Item options
type	name	label	optional	class	showif	value	block_order	item_order
calculate	first_topic		0			sample(c(“mobility”, “savings”), 1, replace = F)		24

3.0.23.4 Value labels

Response choices
name	value

3.1 Missingness report

3.2 Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Journals’ Open Science Badges Foster Trust in Scientists. Study 2: Scientists Sample.",
  "description": "Code book to manuscript\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "identifier": "",
  "datePublished": "2021-07-12",
  "creator": {
    "@type": "Person",
    "givenName": "Schneider",
    "familyName": "Jürgen",
    "email": "juergen.schneider@uni-tuebingen.de",
    "affiliation": {
      "@type": "Organization",
      "name": "University of Tübingen"
    }
  },
  "citation": "Schneider, J. (2021). Journals’ Open Science Badges Foster Trust in Scientists. Codebook of Study 2: Scientists sample",
  "keywords": ["session", "abs1_tsm_1", "abs1_tsm_2", "abs1_tsm_3", "abs1_tsm_4", "abs1_tsc_1", "abs1_tsc_2R", "abs1_tsc_3", "abs1_tru_exp_1", "abs1_tru_exp_2", "abs1_tru_exp_3", "abs1_tru_exp_4", "abs1_tru_exp_5", "abs1_tru_exp_6", "abs1_tru_int_1", "abs1_tru_int_2", "abs1_tru_int_3", "abs1_tru_int_4", "abs1_tru_ben_1", "abs1_tru_ben_2", "abs1_tru_ben_3", "abs1_tru_ben_4", "abs1_tch_1", "abs1_tch_2", "abs1_tch_3", "abs1_tch_4", "abs1_tch_5", "abs2_tsm_1", "abs2_tsm_2", "abs2_tsm_3", "abs2_tsm_4", "abs2_tsc_1", "abs2_tsc_2R", "abs2_tsc_3", "abs2_tru_exp_1", "abs2_tru_exp_2", "abs2_tru_exp_3", "abs2_tru_exp_4", "abs2_tru_exp_5", "abs2_tru_exp_6", "abs2_tru_int_1", "abs2_tru_int_2", "abs2_tru_int_3", "abs2_tru_int_4", "abs2_tru_ben_1", "abs2_tru_ben_2", "abs2_tru_ben_3", "abs2_tru_ben_4", "abs2_tch_1", "abs2_tch_2", "abs2_tch_3", "abs2_tch_4", "abs2_tch_5", "tsm_1", "tsm_2", "tsm_3", "sex", "age", "position", "position_oth", "country", "country_oth", "abs1_tsm", "abs1_tsc", "abs1_tru_exp", "abs1_tru_int", "abs1_tru_ben", "abs1_tch", "abs2_tsm", "abs2_tsc", "abs2_tru_exp", "abs2_tru_int", "abs2_tru_ben", "abs2_tch", "tsm", "treat1", "treat2", "first_topic"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm_1",
      "description": "The insights from the text are arbitrary.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm_2",
      "description": "The knowledge contained in the text cannot be generalized to other situations at all.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm_3",
      "description": "The opposite of the knowledge formulated in the text would be equally right/wrong.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm_4",
      "description": "The knowledge formulated in the text cannot claim validity for other situations.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsc_1",
      "description": "The statements of the just-read text are consistent with my personal opinion on the subject.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsc_2R",
      "description": "The statements of the text excerpt I just read contradict what I myself think about the topic.",
      "value": "4. __fully <br />disagree__,\n3. &nbsp;,\n2. &nbsp;&nbsp;,\n1. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsc_3",
      "description": "I agree with the statements I just read in the text excerpt.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_1",
      "description": "competent - incompetent",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_2",
      "description": "intelligent - unintelligent",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_3",
      "description": "well educated -\tpoorly educated",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_4",
      "description": "professional - unprofessional",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_5",
      "description": "experienced - inexperienced",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp_6",
      "description": "qualified - unqualified",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int_1",
      "description": "sincere - insincere",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int_2",
      "description": "honest - dishonest",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int_3",
      "description": "just - unjust",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int_4",
      "description": "fair - unfair",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben_1",
      "description": "moral - immoral",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben_2",
      "description": "ethical - unethical",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben_3",
      "description": "responsible - irresponsible",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben_4",
      "description": "considerate - inconsiderate",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_1",
      "description": "It is transparent which data form the basis of the study.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_2",
      "description": "Interested parties can have a close look at the questionnaire of the described study.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_3",
      "description": "The data collected in the study are publicly available.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_4",
      "description": "The authors make it easy for other researchers to understand their statistical analyses.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch_5",
      "description": "If other researchers want to repeat the study, they have easy access to the questionnaires used.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm_1",
      "description": "The insights from the text are arbitrary.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm_2",
      "description": "The knowledge contained in the text cannot be generalized to other situations at all.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm_3",
      "description": "The opposite of the knowledge formulated in the text would be equally right/wrong.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm_4",
      "description": "The knowledge formulated in the text cannot claim validity for other situations.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsc_1",
      "description": "The statements of the just-read text are consistent with my personal opinion on the subject.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsc_2R",
      "description": "The statements of the text excerpt I just read contradict what I myself think about the topic.",
      "value": "4. __fully <br />disagree__,\n3. &nbsp;,\n2. &nbsp;&nbsp;,\n1. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsc_3",
      "description": "I agree with the statements I just read in the text excerpt.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_1",
      "description": "competent - incompetent",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_2",
      "description": "intelligent - unintelligent",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_3",
      "description": "well educated -\tpoorly educated",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_4",
      "description": "professional - unprofessional",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_5",
      "description": "experienced - inexperienced",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp_6",
      "description": "qualified - unqualified",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int_1",
      "description": "sincere - insincere",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int_2",
      "description": "honest - dishonest",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int_3",
      "description": "just - unjust",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int_4",
      "description": "fair - unfair",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben_1",
      "description": "moral - immoral",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben_2",
      "description": "ethical - unethical",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben_3",
      "description": "responsible - irresponsible",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben_4",
      "description": "considerate - inconsiderate",
      "value": "1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_1",
      "description": "It is transparent which data form the basis of the study.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_2",
      "description": "Interested parties can have a close look at the questionnaire of the described study.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_3",
      "description": "The data collected in the study are publicly available.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_4",
      "description": "The authors make it easy for other researchers to understand their statistical analyses.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch_5",
      "description": "If other researchers want to repeat the study, they have easy access to the questionnaires used.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\n-999. (don't know),\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": -999,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "tsm_1",
      "description": "The explanations (grey text boxes) were helpful for understanding the badges (\"Open Materials\", \"Open Data\", \"Open Code\").",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "tsm_2",
      "description": "I read all additional explanations (grey text boxes) on the front pages.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "tsm_3",
      "description": "The badges (\"Open Materials\", \"Open Data\", \"Open Code\") influenced my assessment of the authors.",
      "value": "1. __fully <br />disagree__,\n2. &nbsp;,\n3. &nbsp;&nbsp;,\n4. __fully <br />agree__,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "sex",
      "description": "Sex",
      "value": "f. female,\nm. male",
      "maxValue": "m",
      "minValue": "f",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "Age",
      "value": "16. 16-34,\n35. 35-49,\n50. 50 and above,\nNA. Item was never rendered for this user.",
      "maxValue": 50,
      "minValue": 16,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "position",
      "description": "What is your current position?",
      "value": "1. Graduate Research Assistant/ Postgraduate Researcher,\n2. Postdoctoral Researcher,\n3. Lecturers,\n4. Senior Lecturers,\n5. Professors/ Readers,\n-999. other",
      "maxValue": "5",
      "minValue": "-999",
      "@type": "propertyValue"
    },
    {
      "name": "position_oth",
      "description": "please specify other position",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "country",
      "description": "Country of residence",
      "value": "1. United Kingdom,\n2. Republic of Ireland,\n3. USA,\n4. Canada,\n-999. other",
      "maxValue": "4",
      "minValue": "-999",
      "@type": "propertyValue"
    },
    {
      "name": "country_oth",
      "description": "please specify other country",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsm",
      "description": "aggregate of 4 abs1_tsm items",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tsc",
      "description": "aggregate of 3 abs1_tsc items",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_exp",
      "description": "aggregate of 6 abs1_tru_exp items",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_int",
      "description": "aggregate of 4 abs1_tru_int items",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tru_ben",
      "description": "aggregate of 4 abs1_tru_ben items",
      "@type": "propertyValue"
    },
    {
      "name": "abs1_tch",
      "description": "aggregate of 5 abs1_tch items",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsm",
      "description": "aggregate of 4 abs2_tsm items",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tsc",
      "description": "aggregate of 3 abs2_tsc items",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_exp",
      "description": "aggregate of 6 abs2_tru_exp items",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_int",
      "description": "aggregate of 4 abs2_tru_int items",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tru_ben",
      "description": "aggregate of 4 abs2_tru_ben items",
      "@type": "propertyValue"
    },
    {
      "name": "abs2_tch",
      "description": "aggregate of 5 abs2_tch items",
      "@type": "propertyValue"
    },
    {
      "name": "tsm",
      "description": "aggregate of 3 tsm items",
      "@type": "propertyValue"
    },
    {
      "name": "treat1",
      "description": "First treatment condition, the participant was assigned to.",
      "value": "GB. Greyed out badges (no adherence to Open Science standards),\nCC. Control Condition (no badges),\nCB. Colored out badges (adherence to Open Science standards)",
      "maxValue": "GB",
      "minValue": "CB",
      "@type": "propertyValue"
    },
    {
      "name": "treat2",
      "description": "Second treatment condition, the participant was assigned to.",
      "value": "GB. Greyed out badges (no adherence to Open Science standards),\nCC. Control Condition (no badges),\nCB. Colored out badges (adherence to Open Science standards)",
      "maxValue": "GB",
      "minValue": "CB",
      "@type": "propertyValue"
    },
    {
      "name": "first_topic",
      "description": "Topic the participant received first.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    }
  ]
}`

Codebook

Social Scientist Sample

July 12th 2021

1 Description

2 Metadata

3 Codebook

3.0.1 Metadata

3.0.1.1 Description

3.0.2 sex

3.0.2.1 Distribution

3.0.2.2 Summary statistics

3.0.2.3 Item

3.0.2.4 Value labels

3.0.3 age

3.0.3.1 Distribution

3.0.3.2 Summary statistics

3.0.3.3 Item

3.0.3.4 Value labels

3.0.4 position

3.0.4.1 Distribution

3.0.4.2 Summary statistics

3.0.4.3 Value labels

3.0.5 position_oth

3.0.5.1 Distribution

3.0.5.2 Summary statistics

3.0.5.3 Item

3.0.5.4 Value labels

3.0.6 country

3.0.6.1 Distribution

3.0.6.2 Summary statistics

3.0.6.3 Value labels

3.0.7 country_oth

3.0.7.1 Distribution

3.0.7.2 Summary statistics

3.0.7.3 Item

3.0.7.4 Value labels

3.0.8 Scale: abs1_tsm

3.0.8.1 Overview

3.0.8.2 Reliability details

3.0.8.2.1 Scale diagnosis

3.0.8.2.1.1 Reliability (internal consistency) estimates

3.0.8.2.1.1 Scale structure

3.0.8.2.1.1 Information about this scale

3.0.8.2.1.1 Estimates assuming interval level

3.0.8.2.1.1 Estimates assuming ordinal level

3.0.8.2.1.2 Eigen values

3.0.8.2.1.3 Factor analysis (reproducing only shared variance)

3.0.8.2.1.4 Component analysis (reproducing full covariance matrix)

3.0.8.2.1.5 Item descriptives

3.0.8.2.1.6 Scattermatrix

3.0.8.3 Summary statistics

3.0.9 Scale: abs1_tsc

3.0.9.1 Overview

3.0.9.2 Reliability details

3.0.9.2.1 Scale diagnosis

3.0.9.2.1.1 Reliability (internal consistency) estimates

3.0.9.2.1.1 Scale structure

3.0.9.2.1.1 Information about this scale

3.0.9.2.1.1 Estimates assuming interval level

3.0.9.2.1.1 Estimates assuming ordinal level

3.0.9.2.1.2 Eigen values

3.0.9.2.1.3 Factor analysis (reproducing only shared variance)

3.0.9.2.1.4 Component analysis (reproducing full covariance matrix)

3.0.9.2.1.5 Item descriptives

3.0.9.2.1.6 Scattermatrix

3.0.9.3 Summary statistics

3.0.10 Scale: abs1_tru_exp

3.0.10.1 Overview

3.0.10.2 Reliability details

3.0.10.2.1 Scale diagnosis

3.0.10.2.1.1 Reliability (internal consistency) estimates

3.0.10.2.1.1 Scale structure

3.0.10.2.1.1 Information about this scale

3.0.10.2.1.1 Estimates assuming interval level

3.0.10.2.1.2 Eigen values

3.0.10.2.1.3 Factor analysis (reproducing only shared variance)

3.0.10.2.1.4 Component analysis (reproducing full covariance matrix)

3.0.10.2.1.5 Item descriptives

3.0.10.2.1.6 Scattermatrix

3.0.10.3 Summary statistics