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ERIC Number: EJ805341
Record Type: Journal
Publication Date: 2008
Pages: 14
Abstractor: As Provided
Reference Count: 23
ISSN: ISSN-0146-6216
Impact of Missing Data on Person-Model Fit and Person Trait Estimation
Zhang, Bo; Walker, Cindy M.
Applied Psychological Measurement, v32 n6 p466-479 2008
The purpose of this research was to examine the effects of missing data on person-model fit and person trait estimation in tests with dichotomous items. Under the missing-completely-at-random framework, four missing data treatment techniques were investigated including pairwise deletion, coding missing responses as incorrect, hotdeck imputation, and model-based imputation. Person traits were estimated using the two-parameter item response model. Overall, missing data increased the difficulty in assessing person-model fit for both model-fitting and model-misfitting persons. The higher the proportion of missing data, the larger the number of persons incorrectly diagnosed. Among the four techniques, the pairwise deletion method performed best in recovering person-model fit and person trait level. Treating missing responses as incorrect caused the examinees with missing data to not fit the measurement model, thus invalidating the person trait estimates. (Contains 6 figures.)
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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