Introduction to Differential Item Functioning Analysis with R and ShinyItemAnalysis (Pre-conference workshop of the 20th Annual AEA-Europe Conference)

0523684 - ÚI 2020 RIV eng U - Uspořádání akce
Martinková, Patrícia - Hladká, Adéla
Introduction to Differential Item Functioning Analysis with R and ShinyItemAnalysis (Pre-conference workshop of the 20th Annual AEA-Europe Conference).
[Lisbon, 13.11.2019-13.11.2019, (W-EUR 6/6)]
Institucionální podpora: RVO:67985807
Klíčová slova: differential item functioning * psychometrics * latent variable models
Obor OECD: Statistics and probability
https://2019.aea-europe.net/wp-content/uploads/2019/11/AEA2019_Conference_Booklet_Web_07112019.pdf

Pre-conference workshop, Lisbon, 13.11.2019-13.11.2019 (W-EUR 6/6). CONFERENCE: Assessment for transformation - Teaching, learning and improving educational outcomes, The 2019 Annual AEA-Europe Conference /20./, Lisbon, 13.11.2019-16.11.2019. SUPPORT: RVO:67985807. ABSTRACT: Differential Item Functioning (DIF) analysis is an analytic method useful for identifying potentially biased items in assessments. The workshop offers an introduction into DIF detection from a practical point of view. We introduce the mostly used DIF detection methods with their pros and cons and we focus on their application in practice on real data examples. The free statistical software R and its packages difNLR, difR, deltaPlotR, and mirt are used throughout the sessions. The ShinyItemAnalysis package provides an interactive and user-friendly interface helpful for those who are new to R.
Trvalý link: http://hdl.handle.net/11104/0307997