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ERIC Number: EJ990387
Record Type: Journal
Publication Date: 2013-Jan
Pages: 18
Abstractor: As Provided
Reference Count: 20
ISSN: ISSN-0033-3123
Optimal and Most Exact Confidence Intervals for Person Parameters in Item Response Theory Models
Doebler, Anna; Doebler, Philipp; Holling, Heinz
Psychometrika, v78 n1 p98-115 Jan 2013
The common way to calculate confidence intervals for item response theory models is to assume that the standardized maximum likelihood estimator for the person parameter [theta] is normally distributed. However, this approximation is often inadequate for short and medium test lengths. As a result, the coverage probabilities fall below the given level of significance in many cases; and, therefore, the corresponding intervals are no longer confidence intervals in terms of the actual definition. In the present work, confidence intervals are defined more precisely by utilizing the relationship between confidence intervals and hypothesis testing. Two approaches to confidence interval construction are explored that are optimal with respect to criteria of smallness and consistency with the standard approach.
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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
Identifiers - Location: Germany