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ERIC Number: EJ818313
Record Type: Journal
Publication Date: 2008
Pages: 16
Abstractor: As Provided
Reference Count: 29
ISSN: ISSN-0013-1644
Modeling Nonignorable Missing Data in Speeded Tests
Glas, Cees A. W.; Pimentel, Jonald L.
Educational and Psychological Measurement, v68 n6 p907-922 2008
In tests with time limits, items at the end are often not reached. Usually, the pattern of missing responses depends on the ability level of the respondents; therefore, missing data are not ignorable in statistical inference. This study models data using a combination of two item response theory (IRT) models: one for the observed response data and one for the missing data indicator. The missing data indicator is modeled using a sequential model with linear restrictions on the item parameters. The models are connected by the assumption that the respondents' latent proficiency parameters have a joint multivariate normal distribution. Model parameters are estimated by maximum marginal likelihood. Simulations show that treating missing data as ignorable can lead to considerable bias in parameter estimates. Including an IRT model for the missing data indicator removes this bias. The method is illustrated with data from an intelligence test with a time limit. (Contains 5 tables.)
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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