A Beta Item Response Model for Continuous Bounded Responses

Autor/inn/en	Noel, Yvonnick; Dauvier, Bruno
Titel	A Beta Item Response Model for Continuous Bounded Responses
Quelle	In: Applied Psychological Measurement, 31 (2007) 1, S.47-73 (27 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621605287691
Schlagwörter	Simulation; Item Response Theory; Models; Responses; Rating Scales; Likert Scales; Computation; Psychological Patterns; Goodness of Fit; Attitude Measures; Evaluation Methods; Maximum Likelihood Statistics; Measurement Techniques + Suchen Sie Ihr Suchwort? Simulation program; Simulationsprogramm; Item-Response-Theorie; Analogiemodell; Rating-Skala; Likert-Skala; Messtechnik
Abstract	An item response model is proposed for the analysis of continuous response formats in an item response theory (IRT) framework. With such formats, respondents are asked to report their response as a mark on a fixed-length graphical segment whose ends are labeled with extreme responses. An interpolation process is proposed as the response mechanism in this situation, from which the authors show that a beta distribution on the response naturally follows. The two natural parameters of the beta are expressed as monotonic functions of person and item distance on some latent continuum. It is shown that a logistic expected response function results from a simple choice for these monotonic functions. A joint maximum likelihood estimation procedure is presented that performs well in a simulation study. An application on mood items is also presented, with very good fit properties. (Contains 3 tables and 9 figures.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10