2018/01/03 by Xiaolin Wang, Dubravka Svetina, Shenghai Dai · 1 citation
Computer Science · Decision Sciences · Mathematics · Psychology · #Advanced Statistical Modeling Techniques #Classical test theory #Clinical psychology #Correlation #Item response theory #Mathematics #Psychology #Psychometric Methodologies and Testing #Psychometrics #Reliability (semiconductor) #Reliability and Agreement in Measurement #Sample (material) #Statistics #Test (biology) #Value (mathematics)
paper · doi:10.1080/00220973.2017.1409182
published in The Journal of Experimental Education 87(2), 179-192 (Taylor & Francis)
openalex publication_date 2018/01/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/25
Recently, interest in test subscore reporting for diagnosis purposes has been growing rapidly. The two simulation studies here examined factors (sample size, number of subscales, correlation between subscales, and three factors affecting subscore reliability: number of items per subscale, item parameter distribution, and data generating model) that affected the value of reporting subscores within the classical test theory framework. Results showed that a higher proportion of subscores of added value was related to lower correlation between subscales, more items per subscale, no guessing in responses, smaller variability in difficulty parameters, and matched average item difficulty and average examinee ability.