Author presented a critical analysis of the conclusions drawn by Jencks in his book. (RK)

Makes a distinction in methodological work between building and applying statistical models for the processes that generate data for the social sciences and applying that data to available statistical methods. Agrees with Freeman that researchers need to think more about underlying social processes. (RB)

A structural equation model is proposed with a generalized measurement part, allowing for dichotomous and ordered categorical variables (indicators) in addition to continuous ones. A computationally feasible three-stage estimator is proposed for any combination of observed variable types. Two multiple-indicator modeling examples are given.…

Structural equation models require formidable computational techniques. Testing the goodness of fit involves discrepancies between original correlations among variables and correlations estimated by solved path coefficients. A BASIC computer program which solves these problems is presented and discussed. (Author/GDC)

Decomposable models, which allow for the interdependence of structure among observable variables, are described. Each model is fully characterized by a set of conditional interdependence restrictions and can be visualized with an undirected as well as a special type of directed graph. (Author/JKS)

Focus of this paper is on the logic of the model rather than the estimation of parameters or testing the fit of the model to data. (Authors/MB)

The dangers of overlooking time-honored cautions in the making causal interpretations of data analyses from correlational studies when using highly sophisticated computer programs and their associated techniques are discussed. (JKS)

Path analysis was used to test the T into model of college dropouts using a sample drawn from the National Longitudinal Study of the High School Class of 1972. Findings support the notion that commitment to the goal of college completion has the strongest effect on persistence. (Author/GK)

The logical sequence of one set of propositions regarding the association among proposal output, negotiated indirect cost rates, and overhead recovery, using a sample of 24 institutions of higher education within the SUNY system, is investigated. A model for estimating overhead a year in advance is presented. (Author/MLW)

This paper demonstrates the feasibility of using the penalty function method to estimate parameters that are subject to a set of functional constraints in covariance structure analysis. Both types of inequality and equality constraints are studied. The approaches of maximum likelihood and generalized least squares estimation are considered.…

Argues that the acquisition and retention of scientific knowledge depends upon interest specialization. Through path analysis, authors show that origins of interest, acquisition behaviors, and retained knowledge are rooted in post-high school science course experiences, and that knowledge comes from interest. (JMF)

Presents an approach (designed for beginners) to using PROC CALIS, a Statistical Analysis System (SAS) procedure, to perform path analyses using observed variables. The approach begins with the development of a figure to illustrate the researcher's theoretical model, and then converts the figure into a PROC CALIS program. (SLD)

Reviews application of causal modeling in family research. Discusses uses of and critics' views of causal modeling to explain reasons for controversial position of causal modeling in social sciences. Reviews requirements for effectively implementing causal modeling strategy, commenting on some attempts of family researchers to use it. Includes…

An exploratory study examined the effects of organizational attributes and interactional attributes on student attrition. Path analysis indicates that while organizational attributes directly affect academic or social integration, they have no direct effect on student withdrawal. (Author/MSE)