Path analysis is defined for explicitly formulating theory, and for attaching quantitative estimates to causal effects thought to exist on a priori grounds. The four basic kinds of path models are illustrated: (1) recursive; (2) block; (3) block-recursive and (4) nonrecursive. (Author/GDC)

Hierarchial causal models are described as pictorial representations of multiple regression equations. These models are particularly helpful for three reasons: (1) the formulation of problems in a path analytic framework forces a degree of explicitness that is often not present in research reports that rely solely on regression; (2) they provide a…

Researchers interested in linear causal models discovered that a genetic biologist, Sewall Wright, had laid the groundwork for these models over nearly 50 years. This annotated bibliography covers Wright's development of the method of path coefficients. (Author/SLD)

In his early exposition of path analysis, Duncan (1966) noted that the method "provides a calculus for indirect effects." Despite the interest in indirect causal effects, most users treat them as if they are population parameters and do not test whether they are statistically significant. Sobel (1982) has recently derived the asymptotic…

An extension of the methods of path analysis to include studies of categorical data was described and exemplified in a causal study of college dropouts. The usual models and methods of causal (path) analysis were designed for the study of quantitative variables and are not appropriate when the variables under investigation are categorical.…

Direct and indirect effects in decomposed zero-order correlations among variables in causal models are considered. Under certain circumstances, the components of the decompositions could be interpreted as direct, indirect, and spurious causal effects, plus a component called joint associations. The sum of the direct and indirect effects is the…

An extensive body of research indicates that men on the average achieve higher scores in mathematics than women. Despite this extensive research, conclusions about sex differences in mathematics achievement have suffered from various inadequacies in the use of measures of association among coursework experiences, sex, and other correlates of…

Data from the National Longitudinal Study of the High School Class of 1972 (NLS) including the 1976 follow-up were used to examine the effects of interrupting or delaying school attendance on the eventual educational attainment of white male students. Background variables include socioeconomic and other family characteristics. Achievement test…