A Quasi-Parametric Method for Fitting Flexible Item Response Functions

If standard two-parameter item response functions are employed in the analysis of a test with some newly constructed items, it can be expected that, for some items, the item response function (IRF) will not flt the data well. This lack of fit can also occur when standard IRFs are fitted to personali...

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Veröffentlicht in:	Journal of educational and behavioral statistics 2015-02, Vol.40 (1), p.5-34
Hauptverfasser:	Liang, Longjuan, Browne, Michael W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian Statistics Capitalization Communication research Computation Error of Measurement Goodness of Fit Information Item Response Theory Nonparametric Statistics Personality Psychopathology Simulation Statistical Analysis
Online-Zugang:	Volltext
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