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The Bilevel Reticular Action Model for Path Analysis with Latent Variables

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  • RODERICK P. McDONALD

    (University of Illinois)

Abstract

A two-level (hierarchical) model for path analysis with latent variables is described, together with some properties of a computer program written to implement the model. A simple illustrative example is given.

Suggested Citation

  • RODERICK P. McDONALD, 1994. "The Bilevel Reticular Action Model for Path Analysis with Latent Variables," Sociological Methods & Research, , vol. 22(3), pages 399-413, February.
    • Handle: RePEc:sae:somere:v:22:y:1994:i:3:p:399-413
    DOI: 10.1177/0049124194022003007
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    References listed on IDEAS

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    1. Harvey Goldstein & Roderick McDonald, 1988. "A general model for the analysis of multilevel data," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 455-467, December.
    2. Roderick McDonald & Prudence Parker & Tomoichi Ishizuka, 1993. "A scale-invariant treatment for recursive path models," Psychometrika, Springer;The Psychometric Society, vol. 58(3), pages 431-443, September.
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    Cited by:

    1. Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
    2. Joop J. Hox & Cora J. M. Maas & Matthieu J. S. Brinkhuis, 2010. "The effect of estimation method and sample size in multilevel structural equation modeling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(2), pages 157-170, May.
    3. Steffen Nestler & Mitja D. Back, 2017. "Using Cross-Classified Structural Equation Models to Examine the Accuracy of Personality Judgments," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 475-497, June.

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