PARSCALE

Authored by: Eiji Muraki

Handbook of Item Response Theory

Print publication date:  December  2017
Online publication date:  December  2017

Print ISBN: 9781466514331
eBook ISBN: 9781315117430
Adobe ISBN:

10.1201/9781315117430-23

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Abstract

Currently, computer programs such as LOGIST, BILOG-MG, MULTILOG, PARSCALE, TESTFACT, and MicroCAT are available to estimate ability and item parameters. Among these, BILOG-MG (Zimowski et al., 2003; Zimowski, Volume Three, Chapter 22) is commonly used to analyze dichotomous item response data; MULTILOG (Thissen, 1991) and PARSCALE (Muraki & Bock, 2003) are widely used to perform item analysis for both dichotomous and polytomous item response data, with the option to estimate parameters for models such as the generalized partial credit model (GPCM) (Muraki & Muraki, Volume One, Chapter 8). These programs are considered extensions of BILOG-MG. TESTFACT (Wood, Wilson, Gibbons, Shilling, Muraki et al., 2003) can be used to estimate multidimensional item parameters on dichotomous item responsedata.

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