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Ridings, Kelley R. – ProQuest LLC, 2010
This investigation examined the impact combinations of at-risk factors had on 10,373 high school students in an urban school district from the school years 2000-2001 to 2006-2007. Students were categorized as high school graduates or dropouts. At-risk factors were associated with each student record. Hypothetical structural models were created for…
Descriptors: Student Records, Urban Schools, High Schools, Structural Equation Models
Heimler, Ronald – ProQuest LLC, 2010
The purpose of this study was to empirically examine college graduate, faculty, and human resource manager descriptions of needed, received, and further training in eight employability dimensions of literacy and numeracy, critical thinking, management, leadership, interpersonal, information technology, systems thinking skills, and work ethic…
Descriptors: Careers, Employment Potential, Structural Equation Models, Job Performance
Lester, Patricia; Stein, Judith A.; Bursch, Brenda; Rice, Eric; Green, Sara; Penniman, Typhanye; Rotheram-Borus, Mary Jane – Journal of Clinical Child and Adolescent Psychology, 2010
The present study investigated how maternal HIV and mediating family processes are associated with adolescent distress, substance use, and risky sexual behavior. Mother-adolescent (ages 12-21) dyads (N = 264) were recruited from neighborhoods where the HIV-affected families resided (161 had mothers with HIV). Mediating family processes were youth…
Descriptors: Mothers, Structural Equation Models, Conflict, Sexuality
Demi, Mary Ann; Coleman-Jensen, Alisha; Snyder, Anastasia R. – Journal of Research in Rural Education, 2010
This study uses an ecological systems framework to examine how indicators of individual, family, and school contexts are associated with post-secondary educational enrollment among a sample of rural youth. Structural equation modeling allows us to examine both direct and indirect effects of these contexts on school enrollment. Unique elements of…
Descriptors: Rural Youth, Structural Equation Models, Self Efficacy, Adolescents
Duchesne, Stephane; Ratelle, Catherine – Journal of Educational Psychology, 2010
Recent literature on the determinants of academic motivation has shown that parenting and emotions are central elements in understanding students' achievement goals. The authors of this study set out to examine the predictive relationship between parental behaviors during the last year of elementary school and adolescents' achievement goals at the…
Descriptors: Middle School Students, Elementary School Students, Emotional Problems, Structural Equation Models
Bickel, Robert – Guilford Publications, 2007
This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…
Descriptors: Regression (Statistics), Social Sciences, Statistical Analysis, Structural Equation Models
McGinley, Meredith; Carlo, Gustavo – Journal of Youth and Adolescence, 2007
The direct and indirect relations between six types of prosocial behavior and physical aggression were examined. Data were gathered from 252 college students (M age = 21.67 years; 184 women) who completed measures of sympathy, prosocial behavior, and physical aggression. Structural equation modeling revealed that sympathy fully mediated the…
Descriptors: Structural Equation Models, Prosocial Behavior, Altruism, Aggression
McCoach, D. Betsy; Black, Anne C.; O'Connell, Ann A. – Psychology in the Schools, 2007
Although structural equation modeling (SEM) is one of the most comprehensive and flexible approaches to data analysis currently available, it is nonetheless prone to researcher misuse and misconceptions. This article offers a brief overview of the unique capabilities of SEM and discusses common sources of user error in drawing conclusions from…
Descriptors: Misconceptions, Inferences, Data Analysis, Structural Equation Models
Diefendorff, James M.; Mehta, Kajal – Journal of Applied Psychology, 2007
The authors developed and tested new theoretical relations between approach and avoidance motivational traits and deviant work behaviors. Approach motivation was divided into 3 traits: personal mastery (i.e., desire to achieve), competitive excellence (i.e., desire to perform better than others), and behavioral activation system (BAS) sensitivity…
Descriptors: Stimuli, Structural Equation Models, Student Motivation, Rewards
Schmiedek, Florian; Oberauer, Klaus; Wilhelm, Oliver; Suss, Heinz-Martin; Wittmann, Werner W. – Journal of Experimental Psychology: General, 2007
The authors bring together approaches from cognitive and individual differences psychology to model characteristics of reaction time distributions beyond measures of central tendency. Ex-Gaussian distributions and a diffusion model approach are used to describe individuals' reaction time data. The authors identified common latent factors for each…
Descriptors: Psychometrics, Memory, Structural Equation Models, Reaction Time
Elosua, Paula – Journal of Vocational Behavior, 2007
This article proposes the Thurstonian paired comparison model to assess vocational preferences and uses this approach to evaluate the Realistic, Investigative, Artistic, Social, Enterprise, and Conventional (RIASEC) model in the Basque Country (Spain). First, one unrestricted model is estimated in the Structural Equation Modelling framework using…
Descriptors: Foreign Countries, Correlation, Structural Equation Models, Vocational Interests
Ferguson, Kristin M.; Mindel, Charles H. – Crime & Delinquency, 2007
This study tested a model of the effects of different predictors on individuals' levels of fear of crime in Dallas neighborhoods. Given its dual focus on individual perceptions and community-level interactions, social capital theory was selected as the most appropriate framework to explore fear of crime within the neighborhood milieu. A structural…
Descriptors: Neighborhoods, Social Support Groups, Crime, Safety
Bollen, Kenneth A.; Maydeu-Olivares, Albert – Psychometrika, 2007
This paper presents a new polychoric instrumental variable (PIV) estimator to use in structural equation models (SEMs) with categorical observed variables. The PIV estimator is a generalization of Bollen's (Psychometrika 61:109-121, 1996) 2SLS/IV estimator for continuous variables to categorical endogenous variables. We derive the PIV estimator…
Descriptors: Structural Equation Models, Simulation, Robustness (Statistics), Computation
Mathews, Catherine; Aaro, Leif Edvard; Flisher, Alan J.; Mukoma, Wanjiru; Wubs, Annegreet G.; Schaalma, Herman – Health Education Research, 2009
Early coital debut is a risk factor for HIV. In this paper we investigate the predictors of young adolescents' transition to first intercourse using a social cognition theoretical framework. The analyses reported here were based on a longitudinal study of 2360 students in the schools allocated to the control arm of a cluster-randomized controlled…
Descriptors: Municipalities, Socioeconomic Status, Self Efficacy, Early Adolescents
Dubow, Eric F.; Boxer, Paul; Huesmann; L. Rowell – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2009
We examine the prediction of individuals' educational and occupational success at age 48 from contextual and personal variables assessed during their middle childhood and late adolescence. We focus particularly on the predictive role of the parents' educational level during middle childhood, controlling for other indices of socioeconomic status…
Descriptors: Academic Achievement, Parent Background, Educational Attainment, Predictor Variables