This study compared the direct, indirect, and total effects of information, communication, and technology (ICT) variables on math achievement for second-generation immigrant, first-generation immigrant, and nonimmigrant students. A path model was used to analyze U.S. nationally representative data from the Program for International Student…

In the context of "academic momentum," a longitudinal study of university students (N = 904) showed high school achievement and ongoing university achievement predicted subsequent achievement through university. However, the impact of high school achievement diminished, while additive effects of ongoing university achievement continued.…

The purpose of the current study was to help understand scholarly activity better among counseling psychology doctoral students. Two new variables were added to the previously created predictor model of scholarly activity: advisory working alliance and research competence. Three path analytic models were designed in the current study: (1) a…

The Chinese government's stated objective of student financial aid (SFA) policy is to help students from low-income families to access higher levels of education. This article first explores the possible associations between the distribution of SFA and students' various demographic and academic backgrounds. Then it presents the findings regarding…

Suggests that improving the data collected for a study will lead to the development of better models to analyze that data. Also urges researchers to have a more critical attitude toward the literal interpretation of test results. (RB)

Examines D. A. Freedman's criticism of path analysis, agreeing with Freedman's criticism of its application to nonexperimental data in the social sciences. Argues that Freedman's overall conclusions, however, are too pessimistic. (RB)

Family research has been hindered by a reliance on either empirical relationships or abstract theoretical claims. There has been no effective way to bridge the gap between statistical relationships and theoretical propositions. The application of linear structural equation models helps to bridge this gap. Empirical propositions are not developed.…

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)

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.…

The Werts-Linn procedure for dealing with categorical errors of measurement in "Comments on Boyle's 'Path Analysis and Ordinal Data'" in The American Journal of Sociology, volume 76, number 6, May 1971, is shown to be inappropriate to the problem of ordered categories. (For related document, see TM 002 301.) (DB)

This study proposes a transactional model for the reciprocal relationship between increased likelihood of adolescent sexual intercourse and decreased connection with the perceived environment. Connection with the perceived environment is operationalized as higher problem-focused interactions with parents, lower religious attendance, and lower…

Data sets from Australia were analyzed using a causal model to determine the possible causes of sex differences in ASAT scores. Observed differences could be explained in terms of differences in students' English scores, the time the students spent studying mathematics, and their confidence in success. (Author/MLW)

Path analysis was used to explore the relationships among a number of variables related to student persistence. The subjects were freshmen in the College of Liberal Arts, University of Minnesota. Variables that showed the largest total effects on persistence were college grade-point average and high school rank. (Author/MLW)

Tries to develop a method for empirical evaluations of the impact of a school system on measurable cognitive and affective outcomes in students. Concentrates on the Partial Least Squares (PLS) methodology, and illustrates the potential of PLS for system analysis. (BW)

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…