Using Covariance Modeling for Estimating Reliability on Scales with Ordered Polytomous Variables.

Brown, R. L.

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Peer reviewed

ERIC Number: EJ396060

Record Type: Journal

Publication Date: 1989

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Using Covariance Modeling for Estimating Reliability on Scales with Ordered Polytomous Variables.

Brown, R. L.

Educational and Psychological Measurement, v49 n2 p385-98 Sum 1989

Three correlation matrices (PEARSON, POLYCHORIC, and TOBIT) were used to obtain reliability estimates on ordered polytomous variable models. A Monte Carlo study with different levels of variable asymmetry and 400 sample correlation matrices demonstrated that the PEARSON matrix did not perform as well as did the other 2 matrices. (SLD)

Descriptors: Analysis of Covariance, Comparative Analysis, Computer Simulation, Correlation, Estimation (Mathematics), Mathematical Models, Matrices, Monte Carlo Methods, Rating Scales, Test Bias, Test Reliability

Publication Type: Journal Articles; Reports - Evaluative

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Language: English

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