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Gutman, Leslie Morrison; Eccles, Jacquelynne S. – Child Development, 1999
Tested equivalence of theoretical model of parenting behaviors linking financial strain to adolescents' achievement for African American and European American families and single- and two-parent families. Found no significant differences in structural equation models between ethnic/racial groups or between family types. Negative parent-adolescent…
Descriptors: Academic Achievement, Adolescents, Black Youth, Family Financial Resources
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Donenberg, Geri R.; Schwartz, Rebecca Moss; Emerson, Erin; Wilson, Helen W.; Bryant, Fred B.; Coleman, Gloria – AIDS Education and Prevention, 2005
This study examined the utility of cognitive and behavioral constructs (AIDS information, motivation, and behavioral skills) in explaining sexual risk taking among 172 12-20-year-old ethnically diverse urban youths in outpatient psychiatric care. Structural equation modeling revealed only moderate support for the model, explaining low to moderate…
Descriptors: Acquired Immunodeficiency Syndrome (AIDS), Structural Equation Models, Motivation, Psychopathology
Zhang, Zhicheng; RiCharde, R. Stephen – 1999
The causal structure between academic achievement and cognitive, psychological, and facilitative variables during the freshman year in college was studied. Data from 455 freshmen were used in the analysis. Participants completed measures of student goals, facilitative skills, and learning and thinking styles. Pre-college and freshman achievement…
Descriptors: Academic Achievement, Causal Models, Cognitive Ability, College Freshmen
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Neale, Michael C.; And Others – Multivariate Behavioral Research, 1994
In studies of relatives, conventional multiple regression may not be appropriate because observations are not independent. Obtaining estimates of regression coefficients and correct standard errors from these populations through a structural equation modeling framework is discussed and illustrated with data from twins. (SLD)
Descriptors: Analysis of Covariance, Causal Models, Data Collection, Error of Measurement
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Abbott-Shim, Martha; Lambert, Richard; McCarty, Frances – Early Childhood Research Quarterly, 2000
Developed, tested, and validated a model of Head Start classroom quality incorporating characteristics and beliefs of teachers and aides and classroom structural dimensions. Found that teacher/aide education level directly affected inappropriate beliefs, which impacted inappropriate instructional activities, which influenced classroom quality.…
Descriptors: Classroom Environment, Educational Quality, Individualized Instruction, Models
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Davis-Kean, Pamela E.; Sexton, Holly R. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2009
Using data from a national multiethnic, longitudinal study of children, this study examined the process of how parents' educational attainment is related to children's achievement through the beliefs and behaviors of parents and how this influence varies by race/ethnicity. Measures of socioeconomic status, parental expectations for educational…
Descriptors: Ethnicity, Structural Equation Models, Educational Attainment, Achievement Need
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Strang, Kenneth David – International Journal of Educational Research, 2009
Online higher education professors may find their teaching approaches conflict with the learning preferences of their globally dispersed students, which can impede academic performance. In this empirical study of 254 international doctorate students (across 23 cultures), a model was developed to assess how learning expectations affected…
Descriptors: Electronic Learning, Higher Education, Cognitive Style, Mentors
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Moon, Sung Seek; Lee, Joohi – Early Education and Development, 2009
Research Findings: A structural equation model (SEM) and multiple indicators and multiple causes (MIMIC) model were used to test family factors, parent psychological well-being, parent-child home activity, and parent school involvement in relation to children's school achievement. Data for this study were drawn from the Early Childhood…
Descriptors: Family Income, Family Involvement, Academic Achievement, Family Structure
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Godbout, Natacha; Sabourin, Stephane; Lussier, Yvan – Journal of Interpersonal Violence, 2009
This study compared the usefulness of single- and multiple-indicator strategies in a model examining the role of child sexual abuse (CSA) to predict later marital satisfaction through attachment and psychological distress. The sample included 1,092 women and men from a nonclinical population in cohabiting or marital relationships. The single-item…
Descriptors: Sexual Abuse, Child Abuse, Marital Satisfaction, Structural Equation Models
Capraro, Robert M.; Graham, James M. – 2002
This paper illustrates first how estimated Structural Equation Modeling (SEM) measurement error variances are actually estimates of score reliabilities. The major advantage of SEM over other analytic methods is that it accounts for measurement error. Score reliabilities are estimated as part of structural modeling, so that structural models test…
Descriptors: Error of Measurement, Estimation (Mathematics), Reliability, Scores
Willson, Victor L. – 1999
A case is made for representing quantitative methods in use in the social sciences within a unified framework based on structural equation methodology (SEM). Most of the methods now in use are shown in their SEM representation. It is suggested that the visual and verbal representations of SEM are of most use, while specific estimation and…
Descriptors: Educational Research, Research Methodology, Social Science Research, Structural Equation Models
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Rigdon, Edward E. – Structural Equation Modeling, 1998
Continuing a discussion of the topic of fit assessment in structural equation modeling, this article accepts the compromise proposed by H. Marsh (1998) and offers tentative heuristic models for interpreting fit indices that involve the new baseline model proposed by E. Rigdon (1998). (SLD)
Descriptors: Comparative Analysis, Correlation, Goodness of Fit, Heuristics
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Rigdon, Edward E. – Structural Equation Modeling, 1996
This revision of the structural equation modeling (SEM) package developed by J. L. Arbuckle is a commercial product that can compete with other SEM software. The revision contains new documentation, improvements in the way the program saves files, and new drawing tools. It is a substantial improvement over earlier versions. (SLD)
Descriptors: Computer Software, Computer Software Evaluation, Data Analysis, Structural Equation Models
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Byrne, Barbara M.; Watkins, David – Journal of Cross-Cultural Psychology, 2003
Used analysis of covariance structures to test for the equivalence of a well-known measuring instrument across two culturally diverse groups, exploring three possible determinants of the resulting nonvariance. Example data comprised item responses to the four nonacademic subscales of the Self Description Questionnaire for Australian and Nigerian…
Descriptors: Adolescents, Cultural Differences, Foreign Countries, Research Methodology
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Breithaupt, Krista; Zumbo, Bruno D. – Structural Equation Modeling, 2002
Evaluated the sample invariance of item discrimination statistics in a case study using real data, responses of 10 random samples of 500 people to a depression scale. Results lend some support to the hypothesized superiority of a two-parameter item response model over the common form of structural equation modeling, at least when responses are…
Descriptors: Case Studies, Depression (Psychology), Item Response Theory, Structural Equation Models
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