Fig 1.
Researchers’ willingness to share data/code in the literature.
Note: Dot-plot of data/code sharing rates in the literature [4, 19–21, 24–38]. Sample sizes of the respective sharing studies are denoted by dot size. The discipline under study is represented by different dot colors.
Fig 2.
Sampling procedure starting from the ESS bibliographic database.
Note: Sankey-plot of the sampling procedure. Conceptual as well as ex ante restrictions are described in the preregistration (N = 1,206). Post hoc restrictions were deemed necessary during the field phase to reduce overcoverage and correct for sample-neutral failures (N = 1,028). This graph has been created using a modified version of the Stata ado sankey [68].
Fig 3.
(Non-)Response to our code request.
Note: Stacked-bar graph of sharing outcomes. Purplish colors denote the proportion of shared code in the refined sample (N = 1,028). Greenish colors denote the proportion of requests where no data was shared.
Fig 4.
Content of replication packages shared upon request.
Note: Descriptives for shared replication code. Panel A shows the number of files per replication package. Panel B shows the proportion of used software packages by the articles.
Fig 5.
Code sharing rate by main experimental treatments.
Note: Bar chart for code sharing rates across main experimental treatment effects. Brackets indicate differences and corresponding p-values across levels.
Fig 6.
Code sharing rates across all 16 unique experimental conditions.
Note: Code sharing rates for all 16 distinct treatment conditions with 95% confidence intervals. The treatment conditions are sorted in ascending order. Black/gray squares represent active/passive treatment conditions, respectively. Results from a linear probability model with all two-way interactions are reported in Table D in S1 File. This graph has been created using the Stata ado mfcurve [70].