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Coyle, Thomas R.; Pillow, David R. – Intelligence, 2008
This research examined whether the SAT and ACT would predict college grade point average (GPA) after removing g from the tests. SAT and ACT scores and freshman GPAs were obtained from a university sample (N=161) and the 1997 National Longitudinal Study of Youth (N=8984). Structural equation modeling was used to examine relationships among g, GPA,…
Descriptors: Intelligence, Grade Point Average, Structural Equation Models, Predictive Validity
Parker, Philip D.; Martin, Andrew J. – Learning and Individual Differences, 2008
While much research has outlined the importance of intra-psychic factors in predicting workplace success, it is rare that attention is given to the development of these factors in training for human service professions (e.g. psychology, clergy, nursing). Accordingly, the present study explores differences in self-concept, a key intra-psychic…
Descriptors: Human Services, Structural Equation Models, Personality Traits, Personality Measures
Usluel, Yasemin Kocak; Askar, Petek; Bas, Turgay – Educational Technology & Society, 2008
This study focuses on Information and Communication Technologies (ICT) usage, which is the indicator of diffusion. A model composed of the variables which can explain ICT usage in Turkish higher education is established and tested within the study. The two dimensions of ICT usage are considered: instructional and managerial. The data collected…
Descriptors: Foreign Countries, Internet, College Faculty, Information Technology
Chamorro-Premuzic, Tomas; Ahmetoglu, Gorkan; Furnham, Adrian – Learning and Individual Differences, 2008
This study attempted a hierarchical integration of several dispositional determinants of test anxiety (TA) [Sarason, I.G. (1984). "Stress, anxiety and cognitive interference: Reactions to tests." "Journal of Personality and Social Psychology," 46, 929-938.], namely the Big Five personality traits [Costa, P.T. Jr., & McCrae,…
Descriptors: Personality Traits, Individual Differences, Psychological Evaluation, Structural Equation Models
Sandler, Martin E. – Online Submission, 2010
This study explores the deployment of electronic portfolios to a university-wide cohort of freshman undergraduates that included a subgroup of at-risk and lower academically prepared learners. Five evaluative dimensions based on persistence and engagement theory were included in the development of four assessment rubrics exploring goal clarity,…
Descriptors: Portfolios (Background Materials), Social Integration, Structural Equation Models, Student Adjustment
Gardner, Robert D. – Arts Education Policy Review, 2010
The purpose of this study was to construct a profile of K-12 music teachers in the United States and develop a model to predict their retention, turnover, and attrition. Responses to the "Schools and Staffing Survey" from 47,857 K-12 public and private school teachers, including 1,903 music teachers, were analyzed using comparative…
Descriptors: Teaching (Occupation), Private Schools, Elementary Secondary Education, Structural Equation Models
Prado, Guillermo; Huang, Shi; Maldonado-Molina, Mildred; Bandiera, Frank; Schwartz, Seth J.; de la Vega, Pura; Brown, C. Hendricks; Pantin, Hilda – Health Education & Behavior, 2010
Ecodevelopmental theory is a theoretical framework used to explain the interplay among risk and protective processes associated with HIV risk behaviors among adolescents. Although ecodevelopmentally based interventions have been found to be efficacious in preventing HIV risk behaviors among Hispanic youth, this theory has not yet been directly…
Descriptors: Structural Equation Models, Sexually Transmitted Diseases, Parents, Sexuality
Nichols, Shirley J. – ProQuest LLC, 2009
The purpose of this quantitative correlational research study was to investigate, describe, and measure factors influencing retention of nontraditional first and second year students at a university located in the Midwestern United States. Retention of adult students has become a major issue for many institutions of higher education and many…
Descriptors: Structural Equation Models, Intention, Statistical Analysis, School Holding Power
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…
Descriptors: Control Groups, Causal Models, Statistical Significance, Computation
Ulrich, Jana Wellman – ProQuest LLC, 2009
A growing number of demographically diverse, globally-conscious students demand instant access and flexibility when it comes to formal learning. Institutions of higher education are hard pressed to respond, and often cling to old delivery methods and pedagogy. Learner-directed use of Web 2.0 applications to locate, organize, and evidence…
Descriptors: Instructional Design, Structural Equation Models, Colleges, Online Courses
Theran, Sally A. – Journal of Youth and Adolescence, 2009
The current study empirically examined predictors of level of voice (ethnicity, attachment, and gender role socialization) in a diverse sample of 108 14-year-old girls. Structural equation modeling results indicated that parental attachment predicted level of voice with authority figures, and gender role socialization predicted level of voice with…
Descriptors: Ethnicity, Socialization, Females, Structural Equation Models
Duchesne, Stephane; Ratelle, Catherine F.; Poitras, Sarah-Caroline; Drouin, Evelyne – Journal of Early Adolescence, 2009
This study examines how attachment to mother and father predicts worries about academic demands and relationships with teachers generated by the transition from elementary to middle school through its contribution to adolescents' emotional problems (depression and anxiety). The study sample includes 626 young adolescents (289 boys and 337 girls)…
Descriptors: Emotional Problems, Middle Schools, Mothers, Structural Equation Models
Baloglu, Mustafa – 1999
This paper provides theoretical and practical information about using structural equation modeling (SEM) techniques. The first section discusses the theory of SEM, including five general steps: (1) model specification; (2) model identification; (3) model estimation; (4) testing model fit; and (5) model respecification. The second section applies…
Descriptors: Structural Equation Models, Theory Practice Relationship
Kim, Se-Kang – 2002
The effect of bootstrapping was studied by examining whether major profile patterns were replicated when sample sizes were reduced. Profile patterns estimated from the original sample (n=645) of the Wechsler Preschool and Primary Scale of IntelligenceThird Edition (WPPSI-III) Standardization Data were considered major profiles. For bootstrapping,…
Descriptors: Profiles, Sample Size, Structural Equation Models

Babyak, Michael A.; Green, Samuel B. – Multivariate Behavioral Research, 1997
Contrasting positions about the evaluation of multiple tests of constraints and control of Type I errors in structural equation modeling (SEM) are presented. It is argued that researchers should consider controlling for Type I errors in evaluating multiple tests of constraints for other than exploratory analyses. (SLD)
Descriptors: Error of Measurement, Structural Equation Models