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Using LISREL Analysis for Drug Research
Author(s) -
Kennedy Patricia H.,
Starrfield Susan L.,
Baffi Charles
Publication year - 1983
Publication title -
journal of school health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.851
H-Index - 86
eISSN - 1746-1561
pISSN - 0022-4391
DOI - 10.1111/j.1746-1561.1983.tb01143.x
Subject(s) - lisrel , antecedent (behavioral psychology) , structural equation modeling , latent variable , causality (physics) , econometrics , psychology , causal model , social psychology , statistics , mathematics , physics , quantum mechanics
LISREL Analysis is suggested as a method of modeling relationships among variables to determine causality. LISREL is a computer program that uses a maximum‐likelihood procedure to analyze structural equations. The variables in the tested hypotheses can be both directly observed variables and latent variables. LISREL was applied to the findings of a study in drug education research in order to provide a model. The constructed LISREL model was contrasted with the ANOVA‐based model. The LISREL had greater explanatory value for dealing with antecedent variables present in complex human health behaviors.