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ERIC Number: EJ1004407
Record Type: Journal
Publication Date: 2013-Mar
Pages: 21
Abstractor: As Provided
Reference Count: 60
ISBN: N/A
ISSN: ISSN-1082-989X
Information Utility: Quantifying the Total Psychometric Information Provided by a Measure
Markon, Kristian E.
Psychological Methods, v18 n1 p15-35 Mar 2013
Although advances have improved our ability to describe the measurement precision of a test, it often remains challenging to summarize how well a test is performing overall. Reliability, for example, provides an overall summary of measurement precision, but it is sample-specific and might not reflect the potential usefulness of a test if the sample is poorly suited for the test's purposes. The test information function, conversely, provides detailed sample-independent information about measurement precision, but it does not provide an overall summary of test performance. Here, the concept of information utility is introduced. Information utility provides an index of how much psychometric information a measure (e.g., item, test) provides about a trait overall. Information utility has a number of important applied implications, including test selection, trait estimation, computerized adaptive testing, and hypothesis testing. Information utility may have particular utility in situations where the accuracy of prior information about trait level is vague or unclear. (Contains 5 tables, 6 figures, and 1 footnote.)
American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A