As the presence of online and hybrid coursework at institutions of higher education has increased, so too has interest among educators and scholars in understanding personal and contextual factors that predict success in different types of learning environments. The purpose of the present study was to examine the relations among temporally-ordered…

The overidentification of structural equation models with latent variables is discussed. The use of two- and three-indicator models is not recommended since such models do not allow a testing of the crucial assumption of unidimensionality among indicators in most cases. Models with four or more indicators may be more sensitive to departures from…

Meta-analysis is a technique for combining the summary statistics from previously conducted research studies to indicate the direction of results and provide an index of the magnitude of effect size. This paper focuses on the effect of the violation of the assumption of independence (that the value of any included statistic is in no way…

This report for researchers in rural sociology develops a conceptual and analytic framework for evaluating policies or programs through interrelated models. Three models--structural analysis, control programming, and simulation--allow researchers to assess policy/program impact, determine why expected impacts did or did not occur, and modify…

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)

Detailed methodology used to evaluate a causal model of school environment is presented in this report. The model depicts societal features that influence school district values and organizational characteristics, which in turn influence school operations and personnel attitudes and values. These school variables affect school community members'…

This paper discusses path analysis and the applicability of this methodology to the field of family studies. The statistical assumptions made in path analysis are presented along with a description of the two types of models within path analysis, i.e., recursive and non-recursive. Methods of calculating in the path model and the advantages of…

Used a data analytic strategy that was novel to the M-space literature to examine the mental capacity prerequisites of social-cognitive development of 99 students in grades one, three, and five. Used a structural equations analysis to determine whether M-power was a significant predictor of role-taking development. (RH)

Individual differences in academic success were investigated in a geographically defined whole-population sample of very preterm children with a gestational age of less than 32 weeks or a birth weight of less than 1500 gm. The sample consisted of 264 very preterm children (75.6% of German-speaking survivors) and 264 controls matched for gender,…

The logic of using a gain score approach versus longitudinal causal models is studied in this secondary analysis of a complex data base. The gain score model used by the Federal Reserve Bank and the School District of Philadelphia in their "What Works in Reading?" study is successively refined using the LISREL structural equation…

A need to provide more data about the impact of schools on children in terms of manipulable variables prompted an examination of the relationship between school organization and student aspirations for further education. A causal model is examined which would enable investigation of the mechanism by which school contexts could alter aspiration.…

Focusing on the family as a context for the development of life plans by youth, this report summarizes findings of a 14-year longitudinal study on the educational and occupational life plans and achievement of youth in rural low-income areas in six southeastern states. Specific attention is given to (1) how parental educational and occupational…

Since the mean score for a sample composed of several subgroups can be viewed as the sum of the mean of each subgroup weighted by the proportional size of the subgroup, then the mean change in a time period--in this case, from 1972 to 1980--is the sum of the differences between the means for each subgroup, with each mean weighted by its…