A true score imputation method to account for psychometric measurement error.

ABSTRACT: Scores on self-report questionnaires are often used in statistical models without accounting for measurement error, leading to bias in estimates related to those variables. While measurement error corrections exist, their broad application is limited by their simplicity (e.g., Spearman's correction for attenuation), which complicates their inclusion in specialized analyses, or complexity (e.g., latent variable modeling), which necessitates large sample sizes and can limit the analytic options available. To address these limitations, a flexible multiple imputation-based approach, called true score imputation, is described, which can accommodate a broad class of statistical models. By augmenting copies of the original dataset with sets of plausible true scores, the resulting set of da

SUBMITTER: Mansolf M 

PROVIDER: S-EPMC10674037 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature