Path analysis is a data analytic technique for estimating the strengths of hypothesized relationships among a group of variables for a particular sample. Strategies for the use of path analysis are discussed in detail in this extensive article. (JKS)

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)

Path analysis is presented as a technique that can be used to test on a priori model based on a theoretical conceptualization involving a network of selected variables. This being an introductory source, no previous knowledge of path analysis is assumed, although some understanding of the fundamentals of multiple regression analysis might be…

A Monte Carlo simulation was used to ascertain the degree of inflation that can occur in regression estimates when samples contain randomly occurring instances of a pattern among correlations called cooperative suppression. Ten thousand samples of scores on three variables were randomly drawn from a population in which the correlations among the…

Findings are presented from two separate year-long longitudinal studies of the development of planning skills among school aged children in relation to learning LOGO programming, and a theoretical context is provided for predictions of greater improvement by the programming groups. In the first year, experimental groups comprised students in each…

A theory, which proposed a hierarchy of determinants of student ratings of instruction, was tested. Situational variables such as class size, elective enrollment, and grade expectancy were hypothesized to be only indicators of more potent determiners. These motivational constructs were diversity of enrollment motives and subject matter interests,…