Computerized Adaptive Testing for Sleep Disorders

Abstract. Background: As more and more people suffer from sleep disorders, the need to develop an efficient, inexpensive, and accurate assessment tool for screening sleep disorders has become more urgent. Aim: The aim of the current study was to develop a system allowing computerized adaptive testing for sleep disorders (CAT-SD). Methods: A large sample ( N = 1,304) was recruited to construct an item bank for CAT-SD and to investigate the psychometric characteristics of CAT-SD. First, analyses of unidimensionality, model fit, item fit, item discrimination parameters, and differential item functioning (DIF) were conducted to construct a final item pool to meet the requirements of item response theory measurement. Then, a simulated CAT study with real data was performed to investigate the psychometric characteristics of CAT-SD, including the reliability, validity, and predictive utility (sensitivity and specificity). Results: The final unidimensional item bank of the CAT-SD had good item fit, high discrimination, and no DIF. Moreover, it had acceptable reliability, validity, and predictive utility. Limitations: Non-statistical assembly constraints, execution environment, construction of item bank, criterion-related validity, and predictive utility (sensitivity and specificity) of CAT-SD, and sample representativeness are discussed. Conclusions: The CAT-SD could be used as an effective and accurate assessment tool for measuring the sleep disorders in individuals and offers a novel approach to the screening of sleep disorders utilizing psychological scales.