ERIC Number: EJ757695
Record Type: Journal
Publication Date: 2007
Pages: 22
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0013-1644
EISSN: N/A
Some Posterior Standard Deviations in Item Response Theory
Kim, Seock-Ho
Educational and Psychological Measurement, v67 n2 p258-279 2007
The procedures required to obtain the approximate posterior standard deviations of the parameters in the three commonly used item response models for dichotomous items are described and used to generate values for some common situations. The results were compared with those obtained from maximum likelihood estimation. It is shown that the use of priors may reduce the instability of estimates of the item parameters, assuming the choice of priors is reasonable. The sample size required for acceptable accuracy for the purposes of practical applications of item response theory may be inferred from tables or computer programs. It is suggested that the careful selection of priors be exercised to obtain the required precision when three-parameter models are applied in these situations. (Contains 6 tables and 3 figures.)
Descriptors: Item Response Theory, Computation, Comparative Analysis, Evaluation Methods, Sample Size, Models, Computer Software, Tables (Data), Error of Measurement, Bayesian Statistics
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A