Common Persons Design in Score Equating: A Monte Carlo Investigation.

ABSTRACT: The Common Persons (CP) equating design offers critical advantages for high-security testing contexts-eliminating anchor item exposure risks while accommodating non-equivalent groups-yet few studies have systematically examined how CP characteristics influence equating accuracy, and the field still lacks clear implementation guidelines. Addressing this gap, this comprehensive Monte Carlo simulation (N = 5,000 examinees per form; 500 replications) evaluates CP equating by manipulating 8 factors: test length, difficulty shift, ability dispersion, correlation between test forms and CP characteristics. Four equating methods (identity, IRT true-score, linear, equipercentile) were compared using normalized RMSE and %Bias. Key findings reveal: (a) when the CP sample size reaches at least 3

SUBMITTER: Liu J 

PROVIDER: S-EPMC12571793 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature