Abstract
Recently, researchers in psychology have achieved the statistical sophistication necessary for building and testing LISREL-type causal models. However, the literature is devoid of any description of how to proceed in the LISREL modeling process. Using reading test scores obtained from empirical studies, causal models were constructed and tested. The guide resulted from these analyses and features descriptions of (1) a goodness-of-fit test, (2) the use of multiple indicator variables, (3) evaluation of any possible causal relationship, (4) a “residual” analysis for detecting measurement problems, (5) a “derivative” analysis for correlated measurement error, and (6) estimation of the amount of unexplained variability for each dependent latent variable.
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The research reported herein was completed while the author was at the Learning Research and Development Center of the University of Pittsburgh, through funding from the National Institute of Education (NIE). The opinions expressed do not necessarily reflect the position or policy of NIE, and no official endorsement should be inferred.
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Lomax, R.G. A guide to LISREL-type structural equation modeling. Behavior Research Methods & Instrumentation 14, 1–8 (1982). https://doi.org/10.3758/BF03202105
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DOI: https://doi.org/10.3758/BF03202105