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Museus, Samuel D.; Nichols, Andrew H.; Lambert, Amber D. – Review of Higher Education, 2008
Racial minority student persistence is of paramount importance to higher education policymakers and practitioners. This study was aimed at understanding racial differences in the direct and indirect effects of campus racial climate on degree completion using structural equation modeling techniques and a nationally representative sample. The…
Descriptors: Academic Persistence, College Students, Minority Groups, Higher Education
Ramchand, Rajeev; Marshall, Grant N.; Schell, Terry L.; Jaycox, Lisa H. – Journal of Consulting and Clinical Psychology, 2008
This study examines the cross-lagged relationships between posttraumatic distress symptoms and physical functioning, using a sample of 413 persons who were hospitalized for injuries resulting from community violence. Posttraumatic distress was assessed at 1 week, 3 months, and 12 months postinjury, and posttraumatic physical functioning was…
Descriptors: Structural Equation Models, Injuries, Mental Health, Posttraumatic Stress Disorder
Utsey, Shawn O.; Giesbrecht, Norman; Hook, Joshua; Stanard, Pia M. – Journal of Counseling Psychology, 2008
This study tested a sociocultural model of stress and coping in a sample of 215 African Americans. Psychological resources (optimism, ego resilience) were modeled as a "nested self" (S. E. Hobfoll, 2001), supported by social resources (family adaptability and cohesion) and cultural resources (racial pride, religiosity). Race-related stress was a…
Descriptors: Stress Variables, Racial Attitudes, Structural Equation Models, Psychologists
Houlihan, Amy E.; Gibbons, Frederick X.; Gerrard, Meg; Yeh, Hsiu-Chen; Reimer, Rachel A.; Murry, Velma M. – Journal of Early Adolescence, 2008
A 5-year longitudinal study of African American adolescents, aged 10 to 12 at Time 1, used the prototype/willingness (prototype) model to examine the (social) cognitive effects of the onset of sexual behavior on self-concept. Structural equation modeling (SEM) showed that becoming sexually active was related to favorable changes in adolescents'…
Descriptors: Structural Equation Models, Early Adolescents, Sexuality, Self Concept
De Groof, Saskia – Youth & Society, 2008
Many studies have been conducted to examine the predictors of fear of crime among adults, but feelings of insecurity among children and adolescents have been practically ignored. The aim of this study is to search for relevant determinants of fear of crime in a representative sample of 1,212 Flemish (Belgian) adolescents, age 14 to 18, and one of…
Descriptors: Crime, Structural Equation Models, Parenting Styles, Adolescents
Owen, Steven V.; Toepperwein, Mary Anne; Marshall, Carolyn E.; Lichtenstein, Michael J.; Blalock, Cheryl L.; Liu, Yan; Pruski, Linda A.; Grimes, Kandi – Science Education, 2008
The Simpson-Troost Attitude Questionnaire (STAQ) was developed as part of a study to assess adolescent commitment to and achievement in science. For this psychometric reappraisal of the 57-item STAQ, data were analyzed from a convenience sample of 1,754 secondary students. Confirmatory and exploratory factor analyses were applied, and results…
Descriptors: Attitudes, Questionnaires, Adolescents, Motivation
Johnson, Nikki; McMahon, Catherine – Journal of Child Psychology and Psychiatry, 2008
Background: Childhood sleep problems which are prevalent in Western societies are associated with a wide range of emotional, cognitive and behavioural disturbances. Growing evidence suggests that parents play a pivotal role in children's sleep behaviour and that a parenting style which promotes self-regulation is beneficial. This study tested a…
Descriptors: Parenting Styles, Sleep, Child Rearing, Personality
Shogren, Karrie A.; Wehmeyer, Michael L.; Palmer, Susan B.; Soukup, Jane Helen; Little, Todd D.; Garner, Nancy; Lawrence, Margaret – Assessment for Effective Intervention, 2008
Since the early 1990s, attention has been focused on the importance of self-determination in the education of students with disabilities. The purpose of this study was to further our understanding of the construct of self-determination by examining the relationship between the "Arc's Self-Determination Scale" and the "American…
Descriptors: Self Determination, Structural Equation Models, Attitudes toward Disabilities, Measures (Individuals)
Benson, Nicholas – Journal of Psychoeducational Assessment, 2008
Structural equation modeling procedures are applied to the standardization sample of the Woodcock-Johnson III to simultaneously estimate the effects of a psychometric general factor (g), specific cognitive abilities, and reading skills on reading achievement. The results of this study indicate that g has a strong direct relationship with basic…
Descriptors: Reading Comprehension, Reading Difficulties, Reading Fluency, Structural Equation Models
Olsen, Joseph A.; Kenny, David A. – Psychological Methods, 2006
Structural equation modeling (SEM) can be adapted in a relatively straightforward fashion to analyze data from interchangeable dyads (i.e., dyads in which the 2 members cannot be differentiated). The authors describe a general strategy for SEM model estimation, comparison, and fit assessment that can be used with either dyad-level or pairwise…
Descriptors: Structural Equation Models, Data Analysis, Models, Factor Analysis
Smith, Tracy D.; McMillan, Bradley F. – 2001
This paper reviews the theoretical background, optimal levels, strengths, weaknesses, and additional considerations of the most frequently used structural equation modeling (SEM) fit statistics in an effort to enable researchers to make better, more informative judgments regarding their models. Fit indices evaluate model fit for the data being…
Descriptors: Chi Square, Goodness of Fit, Structural Equation Models
Berkovits, Ilona; Hancock, Gregory R. – 2000
A simulation study compared three methods of estimating parameters within structural equation models (SEM) with polytomous variables. These methods appear in three SEM computer software packages: (1) LISREL (Joreskog and Sorbom, 1996) with PRELIS (Joreskog and Sorbom); (2) EQS (Bentler, 1995); and (3) the new Mplus (Muthen and Muthen, 1998). The…
Descriptors: Computer Software, Estimation (Mathematics), Simulation, Structural Equation Models
Peer reviewedCoenders, Germa; Saris, Willem E.; Satorra, Albert – Structural Equation Modeling, 1997
A Monte Carlo study is reported that shows the comparative performance of alternative approaches under deviations from their respective assumptions in the case of structural equation models with latent variables with attention restricted to point estimates of model parameters. The conditional polychoric correlations method is shown most robust…
Descriptors: Estimation (Mathematics), Monte Carlo Methods, Structural Equation Models
Peer reviewedFan, Xitao – Structural Equation Modeling, 1997
The relationship between structural equation modeling (SEM) and canonical correlation analysis (CCA) is illustrated. The representation of CCA in SEM may provide interpretive information not available from conventional CCA. Hierarchically, the relationship suggests that SEM is a more general analytic approach. (SLD)
Descriptors: Correlation, Research Methodology, Statistical Analysis, Structural Equation Models
Peer reviewedShipley, Bill – Structural Equation Modeling, 2003
Shows how to extend the inferential test of B. Shipley (2000), which is applicable to recursive path models without correlated errors, to a class of recursive path models that includes correlated errors. Discusses when the extended model is and is not superior to classical structural equation modeling. (SLD)
Descriptors: Correlation, Path Analysis, Statistical Inference, Structural Equation Models

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