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McFatter, Robert M. – Applied Psychological Measurement, 1979
The usual interpretation of suppressor effects in a multiple regression equation assumes that the correlations among variables have been generated by a particular structural model. How such a regression equation is interpreted is shown to be dependent on the structural model deemed appropriate. (Author/JKS)
Descriptors: Correlation, Critical Path Method, Data Analysis, Models

Burt, Ronald S.; And Others – Sociological Methods and Research, 1979
An example demonstrates that Joreskog's suggested sufficient conditions for identifying unknown parameters in a confirmatory factor analytic model with correlated factors are not sufficient. Sufficient conditions are presented. (Author/JKS)
Descriptors: Affective Measures, Critical Path Method, Factor Analysis, Hypothesis Testing

Pendleton, Brian F.; And Others – Sociological Methods and Research, 1979
Sociological and demographic research often uses variables computed as ratios. When the denominators are highly correlated, and the ratios are used in correlation or regression analysis, a statistical dependency is formed. This article investigates this problem, particularly with respect to partial correlation, multiple regression, and the…
Descriptors: Change, Correlation, Critical Path Method, Longitudinal Studies

Joreskog, Karl G. – Psychometrika, 1978
A general approach to analysis of covariance structures is considered, in which the variances and covariances or correlations of the observed variables are directly expressed in terms of the parameters of interest. The statistical problems of identification, estimation and testing of such covariance or correlation structures are discussed.…
Descriptors: Analysis of Covariance, Correlation, Critical Path Method, Factor Analysis

Wolfe, Lee M. – Multiple Linear Regression Viewpoints, 1979
The inclusion of unmeasured variables in path analyses in educational research is discussed. The statistical basis for inclusion is presented, along with several examples. (JKS)
Descriptors: Critical Path Method, Educational Research, Error of Measurement, Multiple Regression Analysis

Maruyama, Geoffrey; Miller, Norman – American Educational Research Journal, 1979
Confirmatory maximum likelihood factor analysis techniques are applied to a path analysis model. Reanalysis disconfirms the original conclusion that acceptance by White peers beneficially affects the scholastic achievement of Black children. Achievement appears to exert causal influence on popularity, but popularity does not influence achievement.…
Descriptors: Achievement Gains, Black Students, Critical Path Method, Desegregation Effects