In policy evaluations, interest may focus on why a particular treatment works. One tool for understanding why treatments work is causal mediation analysis. In this essay, I focus on the assumptions needed to estimate mediation effects. I show that there is no "gold standard" method for the identification of causal mediation effects. In…

The main objective of this study was to evaluate the health action process approach (HAPA) as a motivational model for dietary self-management for people with multiple sclerosis (MS). Quantitative descriptive research design using path analysis was used. Participants were 209 individuals with MS recruited from the National MS Society and a…

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)

Purpose: This study explored the perceptions of teachers regarding principal support for and understanding of effective writing instruction and whether certain areas of knowledge influence principals' actions and interventions. Research Design: Researchers surveyed teacher participants using the Principal's Support for Writing Instrument and also…

This review of the procedures involved in using path analysis provides guidelines for more effective future utilization of recursive path analysis in the field of family studies. (Author)

An author of a paper (EC 602 060) that presents two causal models of learning disabilities comments on his interest in the research, how the research design developed, limitations of the research, and the need for replication with other disability groups. (JDD)

Describes a path analytic approach to a model of extramarital sexual permissiveness. Variables include age, gender, education, religiosity, political liberalism, premarital sexual permissiveness, autonomy, marital happiness, and power. (JAC)

The utility of several longitudinal data analysis models for use with educational attainment are discussed and illustrated on a large data set. Assumptions of the models, choice of scale units, and data transformations, as well as real-life implications are emphasized. (Author/JKS)

Develops a conceptual and analytic framework for rural sociologists to document program results and consequences and to aid policy and program decisions. Addresses program/policy evaluation from perspectives of structural analysis, control programming, and simulation. Emphasizes dynamic, nonrecursive nature of evaluation processes. (LFL)