Detecting Aberrant Response Behavior with Nonparametric Method: Mokken and PerFit Packages in RStudio

Autor/in	Sengül Avsar, Asiye
Titel	Detecting Aberrant Response Behavior with Nonparametric Method: Mokken and PerFit Packages in RStudio
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 18 (2020) 4, S.251-260 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sengül Avsar, Asiye)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2020.1725734
Schlagwörter	Response Style (Tests); Nonparametric Statistics; Item Response Theory; Test Validity; Scores; Statistical Analysis + Suchen Sie Ihr Suchwort? Antwortverhalten; Item-Response-Theorie; Testvalidität; Statistische Analyse
Abstract	In order to reach valid and reliable test scores, various test theories have been developed, and one of them is nonparametric item response theory (NIRT). Mokken Models are the most widely known NIRT models which are useful for small samples and short tests. Mokken Package is useful for Mokken Scale Analysis. An important issue about validity is whether individual responses reflect individuals' characteristics truly or not. Examining individuals' score patterns with person-fit statistics is one way to detect invalid responses. PerFit Package can be used for detecting aberrant response patterns. This article explains and shows how to use Mokken and PerFit packages in RStudio. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01