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ERIC Number: EJ925442
Record Type: Journal
Publication Date: 2011
Pages: 26
Abstractor: As Provided
Reference Count: 16
ISSN: ISSN-0211-2159
Item Calibration in Incomplete Testing Designs
Eggen, Theo J. H. M.; Verhelst, Norman D.
Psicologica: International Journal of Methodology and Experimental Psychology, v32 n1 p107-132 2011
This study discusses the justifiability of item parameter estimation in incomplete testing designs in item response theory. Marginal maximum likelihood (MML) as well as conditional maximum likelihood (CML) procedures are considered in three commonly used incomplete designs: random incomplete, multistage testing and targeted testing designs. Mislevy and Sheenan (1989) have shown that in incomplete designs the justifiability of MML can be deduced from Rubin's (1976) general theory on inference in the presence of missing data. Their results are recapitulated and extended for more situations. In this study it is shown that for CML estimation the justification must be established in an alternative way, by considering the neglected part of the complete likelihood. The problems with incomplete designs are not generally recognized in practical situations. This is due to the stochastic nature of the incomplete designs which is not taken into account in standard computer algorithms. For that reason, incorrect uses of standard MML- and CML-algorithms are discussed. (Contains 1 figure and 5 tables.)
University of Valencia. Dept. Metodologia, Facultad de Psicologia, Avda. Blasco Ibanez 21, 46010 Valencia, Spain. Tel: +34-96-386-4100; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A