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Psychometrika

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Constructing a Covariance Matrix that Yields a Specified Minimizer and a Specified Minimum Discrepancy Function Value.

Peer reviewed

Cudeck, Robert; Browne, Michael W. – Psychometrika, 1992

A method is proposed for constructing a population covariance matrix as the sum of a particular model plus a nonstochastic residual matrix, with the stipulation that the model holds with a prespecified lack of fit. The procedure is considered promising for Monte Carlo studies. (SLD)

Descriptors: Algorithms, Equations (Mathematics), Estimation (Mathematics), Factor Analysis

Mental Test Data and Contingency Tables.

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Mellenbergh, Gideon J.; Vijn, Pieter – 1980

Data are summarized in Scheuneman's Score x Group x Response frequency table in order to investigate item bias. The data can arise from two different sampling models: (1) multinomial sampling in which a fixed sample size is used and the responses are cross-classified according to score, group, and response; and (2) product-multinomial sampling in…

Descriptors: Black Students, Cognitive Measurement, Foreign Countries, Latent Trait Theory