Randomized Item Response Theory Models

Autor/in	Fox, Jean-Paul
Titel	Randomized Item Response Theory Models
Quelle	In: Journal of Educational and Behavioral Statistics, 30 (2005) 2, S.189-212 (24 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
Schlagwörter	Item Response Theory; Models; Probability; Markov Processes; Monte Carlo Methods; Cheating; Statistical Analysis; Computation; Foreign Countries; College Students; Student Behavior; Netherlands + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Markowscher Prozess; Monte-Carlo-Methode; Prellen; Statistische Analyse; Ausland; Collegestudent; Student behaviour; Schülerverhalten; Niederlande
Abstract	The randomized response (RR) technique is often used to obtain answers on sensitive questions. A new method is developed to measure latent variables using the RR technique because direct questioning leads to biased results. Within the RR technique is the probability of the true response modeled by an item response theory (IRT) model. The RR technique links the observed item response with the true item response. Attitudes can be measured without knowing the true individual answers. This approach makes also a hierarchical analysis possible, with explanatory variables, given observed RR data. All model parameters can be estimated simultaneously using Markov chain Monte Carlo. The randomized item response technique was applied in a study on cheating behavior of students at a Dutch University. In this study, it is of interest if students' cheating behavior differs across studies and if there are indicators that can explain differences in cheating behaviors. (Contains 3 tables and 7 figures.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10