Comparison of different reliability estimation methods for single-item assessment: a simulation study.

ABSTRACT: Single-item assessments have recently become popular in various fields, and researchers have developed methods for estimating the reliability of single-item assessments, some based on factor analysis and correction for attenuation, and others using the double monotonicity model, Guttman's λ₆, or the latent class model. However, no empirical study has investigated which method best estimates the reliability of single-item assessments. This study investigated this question using a simulation study. To represent assessments as they are found in practice, the simulation study varied several aspects: the item discrimination parameter, the test length of the multi-item assessment of the same construct, the sample size, and the correlation between the single-item assessment and the mul

SUBMITTER: Zhang S 

PROVIDER: S-EPMC11568483 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature