Data and code for “Values disclosures and trust in science: A replication study”
This repository contains anonymized data and code for the paper “Values disclosures and trust in science: A replication study” by Daniel J. Hicks and Emilio Lobato.
Data files
Data files are contained in the folder data.
The files data/data.csv and data/data.Rds contain anonymized
versions of the original data collected for this replication study. An
overview is included at the bottom of this readme.
The files data/emad.csv and data/emad.Rds contain versions of the
data from Elliot et al. experiment 1, downloaded from
https://figshare.com/articles/dataset/Elliott_McCright_Allen_and_Dietz_Data_SPSS_Stata_/4695793
on 2021-06-09. This dataset was reshaped and variables recoded to
facilitate parallel analysis with our original data using the code in
script 01_clean.R. This dataset is made available under a Creative
Commons Attribution 4.0 International license.
Reproducibility
To preserve participant anonymity, raw data (as downloaded from
Qualtrics and cleaned by script 01_clean.R) is not publicly available.
Only analysis scripts 02_analysis.R and 03_dag.R are reproduced,
along with assembling the manuscript PDF.
Either method below will require prior installation of R, the renv
package, and Quarto.
Using make
After cloning and downloading, in bash or a similar shell run
make install
make
The installation step primarily installs R packages. This can take a long time if many packages need to be downloaded.
Manually
In R, run
renv::restore()
to create a local (within-project) package library, with the specific
versions used in this project. Then run the scripts 02_analysis.R and
03_dag.R, in that order, to run the analyses. These scripts will write
plots and tables to the out folder, creating it if necessary.
Optionally, use rmarkdown::render() or the “Knit” button in RStudio to
generate HTML documents from these scripts, for comparison with the ones
included in the repository. (Be sure to rename the included HTML files
first.)
Finally, in the paper folder, from bash or a similar shell run
quarto render paper.Qmd --to pdf
to generate the PDF version of the manuscript.
Data overview
library(skimr)
dataf = readRDS(file.path('data', 'data.Rds'))
skim(dataf)| Name | dataf |
| Number of rows | 988 |
| Number of columns | 87 |
| _______________________ | |
| Column type frequency: | |
| character | 11 |
| factor | 3 |
| logical | 2 |
| numeric | 71 |
| ________________________ | |
| Group variables | None |
Data summary
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| progress | 0 | 1.00 | 2 | 3 | 0 | 2 | 0 |
| duration_in_seconds | 0 | 1.00 | 3 | 4 | 0 | 676 | 0 |
| finished | 0 | 1.00 | 1 | 1 | 0 | 2 | 0 |
| ic | 0 | 1.00 | 1 | 1 | 0 | 1 | 0 |
| gender_identity | 0 | 1.00 | 8 | 53 | 0 | 5 | 0 |
| gender_lived | 2 | 1.00 | 8 | 57 | 0 | 7 | 0 |
| sci_values | 0 | 1.00 | 13 | 15 | 0 | 2 | 0 |
| conclusion | 0 | 1.00 | 11 | 19 | 0 | 2 | 0 |
| pid | 0 | 1.00 | 56 | 56 | 0 | 988 | 0 |
| pref | 144 | 0.85 | 1 | 1 | 0 | 4 | 0 |
| part_values | 144 | 0.85 | 13 | 15 | 0 | 2 | 0 |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| race_ethnicity | 0 | 1 | FALSE | 18 | 5: 712, 3: 124, 2: 63, 4: 33 |
| religious_affil | 0 | 1 | FALSE | 19 | 7: 455, 6: 209, 2: 122, 8: 93 |
| gender | 2 | 1 | FALSE | 15 | Wom: 498, Man: 458, Man: 5, Gen: 5 |
Variable type: logical
| skim_variable | n_missing | complete_rate | mean | count |
|---|---|---|---|---|
| disclosure | 0 | 1.00 | 0.67 | TRU: 660, FAL: 328 |
| shared_values | 144 | 0.85 | 0.49 | FAL: 433, TRU: 411 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| ViS01 | 3 | 1.00 | 3.92 | 0.86 | 1 | 4.00 | 4.00 | 4.00 | 5 | ▁▁▂▇▃ |
| ViS02 | 3 | 1.00 | 3.76 | 0.99 | 1 | 3.00 | 4.00 | 4.00 | 5 | ▁▂▁▇▃ |
| ViS03 | 2 | 1.00 | 2.95 | 1.13 | 1 | 2.00 | 3.00 | 4.00 | 5 | ▂▇▃▇▂ |
| ViS04 | 3 | 1.00 | 2.78 | 1.07 | 1 | 2.00 | 3.00 | 4.00 | 5 | ▂▇▇▅▂ |
| ViS05 | 5 | 0.99 | 3.77 | 0.91 | 1 | 3.00 | 4.00 | 4.00 | 5 | ▁▁▃▇▃ |
| ViS06 | 3 | 1.00 | 3.11 | 1.05 | 1 | 2.00 | 3.00 | 4.00 | 5 | ▁▇▇▇▂ |
| ViS07 | 0 | 1.00 | 3.09 | 0.97 | 1 | 2.00 | 3.00 | 4.00 | 5 | ▁▆▇▇▁ |
| ViS08 | 2 | 1.00 | 1.87 | 0.81 | 1 | 1.00 | 2.00 | 2.00 | 5 | ▅▇▁▁▁ |
| ViS09 | 2 | 1.00 | 2.22 | 0.98 | 1 | 2.00 | 2.00 | 3.00 | 5 | ▃▇▃▂▁ |
| ViS10 | 2 | 1.00 | 2.96 | 1.11 | 1 | 2.00 | 3.00 | 4.00 | 5 | ▂▇▆▇▂ |
| ViS11 | 4 | 1.00 | 2.64 | 1.13 | 1 | 2.00 | 2.00 | 4.00 | 5 | ▃▇▃▅▁ |
| ViS12 | 3 | 1.00 | 3.47 | 1.04 | 1 | 3.00 | 4.00 | 4.00 | 5 | ▁▃▃▇▂ |
| ViS13 | 1 | 1.00 | 1.69 | 0.78 | 1 | 1.00 | 2.00 | 2.00 | 5 | ▇▇▁▁▁ |
| ViS14 | 2 | 1.00 | 2.36 | 0.98 | 1 | 2.00 | 2.00 | 3.00 | 5 | ▂▇▂▂▁ |
| ViS15 | 1 | 1.00 | 3.09 | 1.01 | 1 | 2.00 | 3.00 | 4.00 | 5 | ▁▆▅▇▁ |
| ViS16 | 0 | 1.00 | 3.24 | 1.07 | 1 | 2.00 | 4.00 | 4.00 | 5 | ▁▃▃▇▂ |
| ViS17 | 1 | 1.00 | 2.30 | 0.96 | 1 | 2.00 | 2.00 | 3.00 | 5 | ▃▇▃▂▁ |
| ViS18 | 3 | 1.00 | 3.38 | 1.12 | 1 | 2.00 | 4.00 | 4.00 | 5 | ▁▅▃▇▂ |
| ViS19 | 2 | 1.00 | 2.46 | 0.96 | 1 | 2.00 | 2.00 | 3.00 | 5 | ▂▇▃▂▁ |
| ViS20 | 2 | 1.00 | 3.37 | 1.17 | 1 | 2.00 | 4.00 | 4.00 | 5 | ▁▆▃▇▃ |
| ViS21 | 1 | 1.00 | 2.60 | 1.02 | 1 | 2.00 | 2.00 | 3.00 | 5 | ▂▇▃▃▁ |
| ViS22 | 1 | 1.00 | 2.37 | 1.06 | 1 | 2.00 | 2.00 | 3.00 | 5 | ▃▇▂▂▁ |
| ViS23 | 2 | 1.00 | 3.37 | 1.11 | 1 | 2.00 | 4.00 | 4.00 | 5 | ▁▃▃▇▂ |
| ViS24 | 6 | 0.99 | 2.79 | 1.08 | 1 | 2.00 | 3.00 | 4.00 | 5 | ▂▇▆▅▁ |
| ViS25 | 3 | 1.00 | 3.63 | 1.03 | 1 | 3.00 | 4.00 | 4.00 | 5 | ▁▂▃▇▃ |
| ViS26 | 6 | 0.99 | 3.70 | 1.02 | 1 | 3.00 | 4.00 | 4.00 | 5 | ▁▂▂▇▃ |
| ViS27 | 1 | 1.00 | 2.76 | 1.18 | 1 | 2.00 | 2.00 | 4.00 | 5 | ▂▇▃▅▂ |
| ViS28 | 5 | 0.99 | 3.22 | 1.00 | 1 | 2.00 | 3.00 | 4.00 | 5 | ▁▅▆▇▂ |
| ViS29 | 2 | 1.00 | 3.60 | 0.84 | 1 | 3.00 | 4.00 | 4.00 | 5 | ▁▁▆▇▂ |
| ViS30 | 5 | 0.99 | 3.36 | 1.16 | 1 | 2.00 | 4.00 | 4.00 | 5 | ▂▅▆▇▅ |
| ViS31 | 2 | 1.00 | 3.12 | 1.08 | 1 | 2.00 | 3.00 | 4.00 | 5 | ▁▆▅▇▂ |
| ViS32 | 3 | 1.00 | 3.70 | 1.02 | 1 | 3.00 | 4.00 | 4.00 | 5 | ▁▂▃▇▃ |
| ViS33 | 4 | 1.00 | 2.26 | 1.10 | 1 | 2.00 | 2.00 | 3.00 | 5 | ▅▇▂▂▁ |
| ViS34 | 4 | 1.00 | 3.34 | 1.00 | 1 | 3.00 | 4.00 | 4.00 | 5 | ▁▃▅▇▂ |
| ViS35 | 3 | 1.00 | 2.47 | 1.08 | 1 | 2.00 | 2.00 | 3.00 | 5 | ▂▇▃▂▁ |
| ViS36 | 5 | 0.99 | 3.61 | 1.09 | 1 | 3.00 | 4.00 | 4.00 | 5 | ▁▃▃▇▅ |
| SRS01 | 0 | 1.00 | 0.60 | 0.49 | 0 | 0.00 | 1.00 | 1.00 | 1 | ▆▁▁▁▇ |
| SRS02 | 0 | 1.00 | 0.59 | 0.49 | 0 | 0.00 | 1.00 | 1.00 | 1 | ▆▁▁▁▇ |
| SRS03 | 0 | 1.00 | 0.79 | 0.41 | 0 | 1.00 | 1.00 | 1.00 | 1 | ▂▁▁▁▇ |
| SRS04 | 0 | 1.00 | 0.57 | 0.50 | 0 | 0.00 | 1.00 | 1.00 | 1 | ▆▁▁▁▇ |
| SRS05 | 0 | 1.00 | 0.77 | 0.42 | 0 | 1.00 | 1.00 | 1.00 | 1 | ▂▁▁▁▇ |
| SRS06 | 0 | 1.00 | 0.69 | 0.46 | 0 | 0.00 | 1.00 | 1.00 | 1 | ▃▁▁▁▇ |
| SRS07 | 0 | 1.00 | 0.68 | 0.47 | 0 | 0.00 | 1.00 | 1.00 | 1 | ▃▁▁▁▇ |
| SRS08 | 0 | 1.00 | 0.67 | 0.47 | 0 | 0.00 | 1.00 | 1.00 | 1 | ▃▁▁▁▇ |
| SRS09 | 0 | 1.00 | 0.71 | 0.45 | 0 | 0.00 | 1.00 | 1.00 | 1 | ▃▁▁▁▇ |
| SRS10 | 0 | 1.00 | 0.49 | 0.50 | 0 | 0.00 | 0.00 | 1.00 | 1 | ▇▁▁▁▇ |
| SRS11 | 0 | 1.00 | 0.46 | 0.50 | 0 | 0.00 | 0.00 | 1.00 | 1 | ▇▁▁▁▇ |
| age | 1 | 1.00 | 44.41 | 16.20 | 18 | 30.00 | 44.00 | 59.00 | 83 | ▇▆▆▇▂ |
| religious_serv | 1 | 1.00 | 2.05 | 1.60 | 1 | 1.00 | 1.00 | 2.00 | 7 | ▇▁▁▁▁ |
| political_ideology | 48 | 0.95 | 3.24 | 1.85 | 1 | 2.00 | 3.00 | 5.00 | 7 | ▇▃▂▂▃ |
| political_affiliation | 0 | 1.00 | 1.96 | 1.05 | 1 | 1.00 | 2.00 | 3.00 | 5 | ▇▃▅▁▁ |
| education | 0 | 1.00 | 2.56 | 0.52 | 1 | 2.00 | 3.00 | 3.00 | 3 | ▁▁▆▁▇ |
| SRS_sum | 0 | 1.00 | 0.64 | 0.24 | 0 | 0.45 | 0.64 | 0.82 | 1 | ▁▃▅▆▇ |
| METI01 | 0 | 1.00 | 5.08 | 1.47 | 1 | 4.00 | 5.00 | 6.00 | 7 | ▁▂▃▃▇ |
| METI02 | 0 | 1.00 | 5.43 | 1.31 | 1 | 4.00 | 6.00 | 6.00 | 7 | ▁▁▃▃▇ |
| METI03 | 0 | 1.00 | 5.54 | 1.33 | 1 | 5.00 | 6.00 | 7.00 | 7 | ▁▁▂▂▇ |
| METI04 | 0 | 1.00 | 5.21 | 1.58 | 1 | 4.00 | 6.00 | 6.00 | 7 | ▁▁▂▃▇ |
| METI05 | 0 | 1.00 | 5.38 | 1.36 | 1 | 4.00 | 6.00 | 6.00 | 7 | ▁▁▃▃▇ |
| METI06 | 0 | 1.00 | 5.23 | 1.47 | 1 | 4.00 | 5.00 | 6.00 | 7 | ▁▁▃▃▇ |
| METI07 | 0 | 1.00 | 4.91 | 1.59 | 1 | 4.00 | 5.00 | 6.00 | 7 | ▂▂▃▃▇ |
| METI08 | 0 | 1.00 | 4.81 | 1.65 | 1 | 4.00 | 5.00 | 6.00 | 7 | ▂▂▅▃▇ |
| METI09 | 0 | 1.00 | 4.69 | 1.48 | 1 | 4.00 | 4.00 | 6.00 | 7 | ▂▂▇▅▇ |
| METI10 | 0 | 1.00 | 4.70 | 1.51 | 1 | 4.00 | 5.00 | 6.00 | 7 | ▂▂▇▅▇ |
| METI11 | 0 | 1.00 | 4.66 | 1.61 | 1 | 4.00 | 4.00 | 6.00 | 7 | ▂▂▇▃▇ |
| METI12 | 0 | 1.00 | 4.71 | 1.69 | 1 | 4.00 | 5.00 | 6.00 | 7 | ▂▂▅▃▇ |
| METI13 | 0 | 1.00 | 4.76 | 1.76 | 1 | 4.00 | 5.00 | 6.00 | 7 | ▃▂▅▃▇ |
| METI14 | 0 | 1.00 | 4.62 | 1.55 | 1 | 4.00 | 4.00 | 6.00 | 7 | ▂▂▇▃▇ |
| meti_mean | 0 | 1.00 | 4.98 | 1.29 | 1 | 4.07 | 5.07 | 6.00 | 7 | ▁▂▆▇▇ |
| meti_competence | 0 | 1.00 | 5.31 | 1.25 | 1 | 4.50 | 5.50 | 6.33 | 7 | ▁▁▃▆▇ |
| meti_integrity | 0 | 1.00 | 4.78 | 1.42 | 1 | 4.00 | 4.75 | 6.00 | 7 | ▁▃▇▇▇ |
| meti_benevolence | 0 | 1.00 | 4.69 | 1.53 | 1 | 4.00 | 4.75 | 6.00 | 7 | ▂▃▇▇▇ |