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The psychmeta package provides tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Currently, the package supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Please refer to the overview tutorial vignette for an introduction to psychmeta’s functions and workflows. psychmeta is hosted on both CRAN and GitHub.
ShinyItemAnalysis is an R package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters. Exploration of total and standard scores. Analysis of measurement error and reliability. Analysis of correlation structure and validity. Traditional item analysis. Item analysis with regression models.
psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.
Study of Undergraduates' Study Habits & Initiatives
Web-based surveying tool meant to support education research in longitudinal experiments relying on psychometric instruments while providing immediate feedback to participants
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The project will deliver tools, libraries and recipes (combinations of tools and algorithms) to allow end users the capability to conduct empirical analysis where the results can be used to support claims of validity associated with an assessment.
This project aims at developing R-based Software for the analysis of typical neuroscientific data. These will include time resolved bootstrap tests and fitting and testing of psychometric functions.
This project aims to develop open source psychometric data analysis software, including estimation software for Rasch and Item Response
Theory (IRT) models for both dichotomous and polytomous test items.