Developing an Item Bank of Computerized Adaptive Testing for Eating Disorders in Chinese University Students

Kai Liu, Longfei Zhang, Dongbo Tu and Yan Cai

SAGE Open, 2022, vol. 12, issue 4, 21582440221141273

Abstract: We aimed to develop an item bank of computerized adaptive testing for eating disorders (CAT-ED) in Chinese university students to increase measurement precision and improve test efficiency. A total of 1,025 Chinese undergraduate respondents answered a series of questions about eating disorders in a paper-pencil test. A total of 133 items from four well-validated Chinese-version scales of eating disorders were used to construct the item bank of CAT-ED with the following analysis. First, unidimensionality, model fit, local independence, item ï¬ t, discrimination and differential item functioning (DIF) were tested. Then, two simulation studies were applied to test the CAT-ED’s effectivity and rationality by calculating concurrent criterion-related validity, sensitivity and speciï¬ city. The ï¬ nal item bank comprised 77 items, which met the requirements of local independence, item ï¬ t, high discrimination and no differential item functioning in CAT. The mean number of administered items in CAT with the stopping rule fixed at SE  ≤ 0.3 was 11 items. The obtained results showed that CAT-ED had acceptable reliability, validity, sensitivity and speciï¬ city.

Keywords: computerized adaptive testing; eating disorders; item response theory; psychological assessment; screening (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:12:y:2022:i:4:p:21582440221141273

DOI: 10.1177/21582440221141273

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