How Likely Are Your Future Participants to Meet the Same Measurement Criterion? The R Package bruno

The R package bruno addresses two prospective questions in educational and psychological research: what probability should be assigned to a prespecified measurement-defined event in the next comparable case, and how many event-positive cases are plausible in a specified future sample? bruno provides the corresponding next-case predictive probability and exact beta-binomial predictive distribution, supporting prospective planning alongside conventional outcome and sample-size analyses.

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Publication Details

Journal
Applied Psychological Measurement
Published
2026-09-24
DOI
https://doi.org/10.1177/01466216261490071
Primary Topic
Data Analysis with R
Type
article
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article

How Likely Are Your Future Participants to Meet the Same Measurement Criterion? The R Package bruno

Irene Gianeselli
Applied Psychological Measurement
Data Analysis with R
article

How Likely Are Your Future Participants to Meet the Same Measurement Criterion? The R Package bruno

Irene Gianeselli
article en

Abstract

The R package bruno addresses two prospective questions in educational and psychological research: what probability should be assigned to a prespecified measurement-defined event in the next comparable case, and how many event-positive cases are plausible in a specified future sample? bruno provides the corresponding next-case predictive probability and exact beta-binomial predictive distribution, supporting prospective planning alongside conventional outcome and sample-size analyses.

Applied Psychological Measurement
Free University of Bozen-Bolzano (IT)
Openalex Percentile: Top 9%
Data Analysis with R
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