Functions to create project figures.
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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()
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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()
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Error/correct response rates as a function of effect size |
fig_evidence_p_vals()
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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()
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Probability of making a "difference" decision as a function of the most extreme p value and evidence scale |
fig_evidence_scale_logistic_x()
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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()
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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()
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Distribution of self-reported preferences for statistical methods |
fig_recreate_display()
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Generate image to show a participant's sampling behaviour |
fig_response_evidence()
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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()
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Distribution of opinions about significance testing in sample |
fig_strategies()
|
Frequencies of self-reported strategies |