Covariance Structure Analysis of Partially Additive Ipsative Data Using Restricted Maximum Likelihood Estimation.

Chan, Wai; Bentler, Peter M.

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Peer reviewed

ERIC Number: EJ536929

Record Type: Journal

Publication Date: 1996

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ISSN: ISSN-0027-3171

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Covariance Structure Analysis of Partially Additive Ipsative Data Using Restricted Maximum Likelihood Estimation.

Chan, Wai; Bentler, Peter M.

Multivariate Behavioral Research, v31 n3 p289-312 1996

A method is proposed for partially analyzing additive ipsative data (PAID). Transforming the PAID according to a developed equation preserves the density of the transformed data, and maximum likelihood estimation can be carried out as usual. Simulation results show that the original structural parameters can be accurately estimated from PAID. (SLD)

Descriptors: Equations (Mathematics), Estimation (Mathematics), Goodness of Fit, Matrices, Maximum Likelihood Statistics, Sample Size, Simulation, Transformations (Mathematics)

Publication Type: Reports - Evaluative; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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