Access to data

Functions and objects that give access the data in the paper.

compile_complete_dataset()

Complete data set after extracting samples and making some columns "neater"

load_clean_dataset()

Load the data set and apply all cleaning steps

load_complete_dataset()

Read the complete data set from the (compressed) CSV

load_text_responses()

Text responses for each participant from the cleaned data

christmas_stats_participants

Cleaned, participant-level data

christmas_stats_samples

Cleaned, event-level data

text_coding

Coding of the text responses

Figures

Functions to create project figures.

fig_confidence()

Response confidence ratings

fig_desc_evidence()

Show distributions of the "evidence" as a function of sample size, evidence scale/power, and true effect size

fig_desc_evidence_transform()

Show the transformation between the z/p value and the visual location

fig_edu_training_edu()

Distribution of attained educational level in the sample

fig_edu_training_stats()

Distribution of reported number of years of statistical training in the sample

fig_error_rates()

Error/correct response rates as a function of effect size

fig_evidence_p_vals()

Generate image to show the interface with p values overlaid

fig_evidence_scale_boxes()

Number of samples as a function of sample type, evidence scale and true effect size

fig_evidence_scale_logistic_p()

Probability of making a "difference" decision as a function of the most extreme p value and evidence scale

fig_evidence_scale_logistic_x()

Probability of making a "difference" decision as a function of the most extreme x value and evidence scale

fig_field()

Distribution of self-reported scientific field in the sample

fig_field_scientific()

Participants' reports of whether others would call their field scientific

fig_how_use_stat()

Distribution of self-reported ways participants use statistics

fig_preferred_method()

Distribution of self-reported preferences for statistical methods

fig_recreate_display()

Generate image to show a participant's sampling behaviour

fig_response_evidence()

Distribution of "evidence" in the display by response

fig_sampling_behavior()

Number of samples per participant for each activity, by effect size

fig_shuffle_understanding()

Distribution of self-reported understanding of what usefulness of random shuffle reports before experiment

fig_sig_testing_opinion()

Distribution of opinions about significance testing in sample

fig_strategies()

Frequencies of self-reported strategies

Interactivity

Functions that provide interactive access to project materials

explore_data()

Run shiny app to explore the (cleaned) data set

task_demo()

Start a web server with a demo of the experimental task and open browser

HTML widget functions

Functions that make the data exploration HTML widget work in shiny apps

santaDisplayOutput() renderSantaDisplay()

Shiny bindings for santaDisplay