This study aimed to suggest an Excellent Teacher Thinking Model that has the potential to be utilized in the development of excellent teachers. Interaction survey method using survey questions, observation, document review and interview was conducted in this study. One hundred and five excellent teachers were selected randomly as research…

This study examined the role of language, attention/impulse control, and mother-child play in predicting later peer competence by assessing 252 children at ages 3 and 8 years. Children born term (n = 90) or preterm (n = 162) were included to examine the question of how variability in skills influenced social outcomes and whether relations were…

This study is a preliminary exploration of how individual differences in gender role attitudes and ethnic identity might be related to career decision self-efficacy and the gender traditionality of career choice goals in a sample of 102 9th-grade Black and Latina girls. Extending social-cognitive career theory, the authors examined 2 path models…

Examined were several theoretically important relations among motivational characteristics of students that are malleable, or changeable with intervention. The motivational construct identification with academics, which includes perceptions of belonging and valuing within an academic context, was investigated along with intrinsic/extrinsic…

Informed by acculturation, ecological, and social capital theories, the study examined the contribution of parental acculturation, parental involvement, and intergenerational relationship to well-being in Southeast Asian American adolescents. Using data from the Children of Immigrants Longitudinal Study, 491 Southeast Asian American adolescents…

Research questions that test the interaction between either categorical variables or multiplicative expressions are commonly found in multiple regression and analysis of variance applications. In contract, research questions posing an interaction between observed variables in a path analytic model are not commonly found in the literature. This is…

D. B. Rubin's model for causal inference in experiments and observational studies is enlarged to analyze the problem of "causes causing causes" and is compared to path analysis and recursive structural equations models. A special quasiexperimental design, the encouragement design, is used to give concreteness to the discussion by…

In this paper the binomial index of model fit is applied to four path-analytic or structural-equation models to demonstrate how this goodness-of-fit measure can be used and interpreted. In addition, the conclusions derived from the results of the binomial index of goodness of fit were compared to the statements presented by the authors of the…

Correlation-based approaches to causal analysis contain too much irrelevant information that masks and modulates the true nature of causal processes in the world. Both causal modeling and path analysis/structural equations give the wrong answers for certain conceptions of causation, given certain assumptions about the "error" variables.…

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.…

The usefulness of path analysis as a means of better understanding various linear models is demonstrated. First, two linear models are presented in matrix form using linear structural relations (LISREL) notation. The two models, regression and factor analysis, are shown to be identical although the research question and data matrix to which these…

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)