Abstract
ShinyItemAnalysis, R package and online application (Martinková, Drabinová, et al., 2017), has been developed for teaching psychometric concepts, presenting psychometric research and to foster use of psychometric methods in educational test development. In this work we present useful features of ShinyItemAnalysis such as presence of real and simulated data examples, model equations, interactive plots, parameter estimates, interpretation of results, selected R code, or automatic report generation.
Further, we describe how ShinyItemAnalysis helps to promote psychometric research in classical test theory (Martinková, Štěpánek et al., 2017) or in detection of differential item functioning (DIF) by providing real and simulated examples showing that DIF occurs independently of difference in total scores (Martinková, Drabinová, Liaw, et al., 2017) and by providing newly developed DIF detection methods (Drabinová & Martinková, 2017). Finally, with an example of admission test to medical school, we show how ShinyItemAnalysis may provide a free and user friendly tool to routinely analyze tests and to foster use of psychometric methods in educational test development.