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Noble, Julie P.; Schnelker, Diane – ACT, Inc., 2007
This study used hierarchical linear regression to examine the effects of taking specific high school courses on students' ACT performance in English, Mathematics, and Science. In addition, hierarchical logistic regression was used to examine the benefits of taking specific courses on students' likelihood of meeting or exceeding the ACT College…
Descriptors: Structural Equation Models, Regression (Statistics), High School Students, Performance Based Assessment
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Carlo, Gustavo; McGinley, Meredith; Hayes, Rachel; Batenhorst, Candice; Wilkinson, Jamie – Journal of Genetic Psychology, 2007
In the present study, the authors examined the relations among parenting styles, parental practices, sympathy, and prosocial behaviors in adolescents. The participants were 233 adolescents (M age = 16.7 years; 69% girls; mostly White) from public high schools in the Midwestern region of the United States who completed measures of prosocial…
Descriptors: Prosocial Behavior, Parenting Styles, Child Rearing, Adolescents
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Neuenschwander, Markus P.; Vida, Mina; Garrett, Jessica L.; Eccles, Jacquelynne S. – International Journal of Behavioral Development, 2007
The present study compares the relations of family SES and parents' educational expectations during early adolescence with students' self-concept of ability and academic achievement in mathematics and language in two western countries, Switzerland and USA Participants were drawn from two US longitudinal samples, The Michigan Study of Adolescent…
Descriptors: Structural Equation Models, Mathematics Achievement, Academic Achievement, Parent Role
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Shogren, Karrie A.; Wehmeyer, Michael L.; Palmer, Susan B.; Soukup, Jane Helen; Little, Todd D.; Garner, Nancy; Lawrence, Margaret – Exceptional Children, 2007
This article examines the impact of multiple individual and ecological factors on the self-determination of students with learning disabilities, mild and moderate mental retardation, and other health impairments. Baseline data from a multistate, longitudinal research project evaluating interventions to promote self-determination were examined…
Descriptors: Self Determination, Structural Equation Models, Moderate Mental Retardation, Learning Disabilities
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Gungor, Almer (Abak); Eryilmaz, Ali; Fakioglu, Turgut – Journal of Research in Science Teaching, 2007
The purpose of this study was to determine the best-fitting structural equation model between the freshmen's physics achievement and selected affective characteristics related to physics. These characteristics are students' situational interest in physics, personal interest in physics, aspiring extra activities related to physics, importance of…
Descriptors: Foreign Countries, Structural Equation Models, Science Achievement, Student Motivation
Fan, Xitao; And Others – 1997
A Monte Carlo study was conducted to assess the effects of some potential confounding factors on structural equation modeling (SEM) fit indices and parameter estimates for both true and misspecified models. The factors investigated were data nonnormality, SEM estimation method, and sample size. Based on the fully crossed and balanced 3x3x4x2…
Descriptors: Estimation (Mathematics), Goodness of Fit, Mathematical Models, Monte Carlo Methods
Perkhounkova, Yelena; Koehly, Laura M.; Dunbar, Stephen B. – 2000
This study was conducted to investigate the dimensionality of language tests by means of latent variable models for categorical data. It differs from previous studies by conducting the analysis at the level of the original items using the structural modeling approach of B. Muthen (1984) for dichotomous and ordered polytomous variables. In this…
Descriptors: Goodness of Fit, Junior High School Students, Junior High Schools, Language Proficiency
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Mueller, Ralph O. – Structural Equation Modeling, 1997
Basic philosophical and statistical issues in structural equation modeling (SEM) are reviewed, including model conceptualization, identification, and parameter estimation and data-model-fit assessment and model modification. These issues should be addressed before the researcher uses any of the new generation of SEM software. (SLD)
Descriptors: Computer Software, Estimation (Mathematics), Goodness of Fit, Identification
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Tremblay, Paul F.; Gardner, Robert C. – Structural Equation Modeling, 1996
The distribution of technical and substantive structural equation modeling (SEM) articles published in psychological journals from 1987 to 1994 was studied through inspection of more than 1,050 abstracts in the "PsycLIT" system. There has been a clear increase in the number of journals and the number of substantive SEM articles. (SLD)
Descriptors: Psychological Studies, Psychology, Research Methodology, Research Reports
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Marsh, Herbert W.; Yeung, Alexander Seeshing – Journal of Educational Psychology, 1997
Data on academic self-concept, school grades, and teacher ratings of achievement were collected from 603 students for three high school subjects in each of three years. Structural equation models show reciprocal effects for prior achievement and academic self-concept for all subjects. Effects were largest for mathematics. (SLD)
Descriptors: Academic Achievement, Causal Models, Etiology, High School Students
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Lee, Sik-Yum; And Others – Psychometrika, 1990
A computationally efficient three-stage estimator of thresholds and covariance structure parameters is prepared for analysis of structural equation models with polytomous variables. The method is based on partition maximum likelihood and generalized least squares estimation. An analysis of questionnaire responses of 739 young adults illustrates…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Least Squares Statistics, Mathematical Models
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Duncan, Susan C.; Duncan, Terry E. – Multivariate Behavioral Research, 1994
Using an approach to the analysis of missing data, this study investigated developmental trends in alcohol, marijuana, and cigarette use among 750 adolescents across 5 years using multiple-group latent growth modeling. Latent variable structural equation modeling and missing data approaches to studying developmental change are explored. (SLD)
Descriptors: Adolescents, Change, Child Development, Drinking
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Pike, Gary R. – Review of Higher Education, 1992
A study at the University of Tennessee Knoxville used mixed-effect structural equation models incorporating latent variables as an alternative to conventional methods of analyzing college students' (n=722) first-year-to-senior academic gains. Results indicate, contrary to previous analysis, that coursework and student characteristics interact to…
Descriptors: Academic Achievement, Achievement Gains, College Students, Higher Education
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Lee, Sik-Yum; And Others – Psychometrika, 1992
A two-stage approach based on the rationale of maximum likelihood and generalized least-squares methods is developed to analyze the general structural equation model for continuous and polytomous variables. Some illustrative examples and a small simulation study (50 replications) are reported. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Least Squares Statistics, Mathematical Models
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Deary, Ian J. – Intelligence, 1994
Three psychophysical auditory processing tests, varying in emphasis on speed of processing and pitch discrimination, and tests of verbal and nonverbal ability were administered to 108 13-year olds. A structural equation model suggests that information processing speed and pitch discrimination ability are significantly associated with nonverbal and…
Descriptors: Adolescents, Auditory Discrimination, Auditory Stimuli, Auditory Tests
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