Enhancing Psychometric Analysis with Interactive ShinyItemAnalysis Modules

📅 2024-07-10
🏛️ arXiv.org
📈 Citations: 0
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🤖 AI Summary
To address limitations in scalability of psychometric tools, high barriers to integrating novel methods, and insufficient support for reproducibility and pedagogy, this study introduces ShinyItemAnalysis (SIA), a modular extensibility framework built in R and Shiny. SIA pioneers a module mechanism supporting embedded datasets, object-oriented design, and compiled code—enabling researchers to develop, package, and share interactive psychometric methods (e.g., IRT, EFA, DIF detection) as standalone R packages while seamlessly leveraging SIA’s integrated data processing, visualization, and core analytical capabilities. The framework has been instantiated with multiple open-source example modules. These advances substantially enhance method accessibility, computational reproducibility, and instructional utility, thereby fostering an open, interactive psychometric tool ecosystem across psychology, education, and the social sciences.

Technology Category

Application Category

📝 Abstract
ShinyItemAnalysis (SIA) is an R package and shiny application for an interactive presentation of psychometric methods and analysis of multi-item measurements in psychology, education, and social sciences in general. In this article, we present a new feature introduced in the recent version of the package, called"SIA modules", which allows researchers and practitioners to offer new analytical methods for broader use via add-on extensions. We describe how to build the add-on modules with the support of the new SIAtools package and demonstrate the concepts using sample modules from the newly introduced SIAmodules package. SIA modules are designed to integrate with and build upon the SIA interactive application, enabling them to leverage the existing infrastructure for tasks such as data uploading and processing. They can access a range of outputs from various analyses, including item response theory models, exploratory factor analysis, or differential item functioning models. Because SIA modules come in R packages (or extend the existing ones), they may come bundled with their datasets, use object-oriented systems, or even compiled code. We discuss the possibility of broader use of the concept of SIA modules in other areas and the importance of freely available interactive psychometric software for methods dissemination.
Problem

Research questions and friction points this paper is trying to address.

Enhancing psychometric analysis with interactive SIA modules
Extending ShinyItemAnalysis for broader methodological applications
Facilitating interactive psychometric software for research dissemination
Innovation

Methods, ideas, or system contributions that make the work stand out.

Interactive ShinyItemAnalysis modules for psychometrics
Add-on extensions with SIAtools package support
Integration with existing SIA infrastructure
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Patrícia Martinková
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic; Faculty of Education, Charles University, Prague, Czech Republic
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Jan Netík
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic; Faculty of Education, Charles University, Prague, Czech Republic
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Adéla Hladká
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic