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.