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Umana-Taylor, Adriana J.; Bhanot, Ruchi; Shin, Nana – Journal of Family Issues, 2006
An ecological model of ethnic identity was examined among 639 adolescents of Asian Indian, Chinese, Filipino, Vietnamese, and Salvadoran descent. Using structural equation modeling and, specifically, multiple group comparisons, findings indicated that familial ethnic socialization (FES) played a significant role in the process of ethnic identity…
Descriptors: Adolescents, Socialization, Structural Equation Models, Ethnicity
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Bennett, M. Daniel, Jr.; Miller, David B. – Research on Social Work Practice, 2006
Objective: This article discusses continued development of the Urban Hassles Index (UHI). The stressors identified in the UHI are chronic and differ substantively from the more acute life events indexes typically employed to measure adolescent stress. Method: Exploratory factor analysis was used to identify the underlying factor structure of the…
Descriptors: Structural Equation Models, Factor Structure, Factor Analysis, Social Work
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Trautwein, Ulrich; Ludtke, Oliver; Schnyder, Inge; Niggli, Alois – Journal of Educational Psychology, 2006
According to the domain-specific, multilevel homework model proposed in the present study, students' homework effort is influenced by expectancy and value beliefs, homework characteristics, parental homework behavior, and conscientiousness. The authors used structural equation modeling and hierarchical linear modeling analyses to test the model in…
Descriptors: Homework, Models, Expectation, Structural Equation Models
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Harring, Jeffrey R.; Cudeck, Robert; du Toit, Stephen H. C. – Multivariate Behavioral Research, 2006
The nonlinear random coefficient model has become increasingly popular as a method for describing individual differences in longitudinal research. Although promising, the nonlinear model it is not utilized as often as it might be because software options are still somewhat limited. In this article we show that a specialized version of the model…
Descriptors: Computer Software, Structural Equation Models, Individual Differences, Longitudinal Studies
Schumacker, Randall E.; Rigdon, Edward – 1995
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…
Descriptors: Computer Software, Computer Software Development, Interaction, Path Analysis
Holland, Paul W. – 1988
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…
Descriptors: Causal Models, Observation, Path Analysis, Quasiexperimental Design
Newman, Isadore; And Others – 1994
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…
Descriptors: Goodness of Fit, Heuristics, Path Analysis, Research Methodology
Gao, Hong; Hughes, William W.; O'Rear, Michael R.; Fendley, William R., Jr. – 2002
Studies have provided conflicting findings on who is more likely to graduate or to persist in higher education. This study examined differences between native students and transfer students in terms of graduation and retention rates, sought to discover factors that impact students' persistence in higher education, such as a student's first-term…
Descriptors: Academic Persistence, College Graduates, Graduation Rate, Higher Education
Kim, Se-Kang; Davison, Mark L. – 2003
This study was designed to explain how Profile Analysis via Multidimensional Scaling (PAMS) could be viewed as a structural equations model (SEM). The study replicated the major profiles extracted from PAMS in the context of the latent variables in SEM. Data involved the Basic Theme Scales of the Strong Campbell Interest Inventory (Campbell and…
Descriptors: Adults, Factor Analysis, Factor Structure, Interest Inventories
Schumacker, Randall E.; Cheevatanarak, Suchittra – 2000
Monte Carlo simulation compared chi-square statistics, parameter estimates, and root mean square error of approximation values using normal and elliptical estimation methods. Three research conditions were imposed on the simulated data: sample size, population contamination percent, and kurtosis. A Bentler-Weeks structural model established the…
Descriptors: Chi Square, Comparative Analysis, Estimation (Mathematics), Monte Carlo Methods
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Thornton, Michael C.; Tran, Thanh V.; Taylor, Robert Joseph – Journal of Black Psychology, 1997
Explored components of group identification for 2,107 adult blacks from the National Study of Black America. Structural equation modeling revealed three dimensions to identity (identification with masses, elites, and rebels) variously associated with sociodemographic and residential variables. These results support at least three reference groups…
Descriptors: Adults, Black Culture, Blacks, Demography
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Gerbing, David W.; Hamilton, Janet G. – Structural Equation Modeling, 1996
A Monte Carlo study evaluated the effectiveness of different factor analysis extraction and rotation methods for identifying the known population multiple-indicator measurement model. Results demonstrate that exploratory factor analysis can contribute to a useful heuristic strategy for model specification prior to cross-validation with…
Descriptors: Heuristics, Mathematical Models, Measurement Techniques, Monte Carlo Methods
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Hatcher, Larry – Structural Equation Modeling, 1996
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)
Descriptors: Chi Square, Factor Analysis, Goodness of Fit, Path Analysis
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Cohen, Patricia; And Others – Applied Psychological Measurement, 1990
Problems in the measurement of latent variables (LVs) in structural equations causal models are presented, with examples from recent empirical studies. Main issues addressed are (1) two general types of increased operative variables; (2) criteria for indicators of LVs; and (3) disattenuation effects in LV models. (SLD)
Descriptors: Causal Models, Literature Reviews, Mathematical Models, Measurement Techniques
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Heck, Ronald H.; Marcoulides, George A. – Urban Review, 1990
This study examines (1) the generalizability of a principal instructional leadership model proposed by Bossert, Dwyer, Rowan, and Lee (1982) across school levels, and (2) whether elementary principals exert more influence over school achievement than secondary principals. Findings supported (1) but not (2). Theoretical and practical implications…
Descriptors: Academic Achievement, Elementary Secondary Education, Leadership, Principals
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