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Nevitt, Jonathan; Hancock, Gregory R. – Multivariate Behavioral Research, 2004
Through Monte Carlo simulation, small sample methods for evaluating overall data-model fit in structural equation modeling were explored. Type I error behavior and power were examined using maximum likelihood (ML), Satorra-Bentler scaled and adjusted (SB; Satorra & Bentler, 1988, 1994), residual-based (Browne, 1984), and asymptotically…
Descriptors: Statistical Data, Sample Size, Monte Carlo Methods, Structural Equation Models
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Lee, Sik-Yum; Song, Xin-Yuan – Multivariate Behavioral Research, 2004
The main objective of this article is to investigate the empirical performances of the Bayesian approach in analyzing structural equation models with small sample sizes. The traditional maximum likelihood (ML) is also included for comparison. In the context of a confirmatory factor analysis model and a structural equation model, simulation studies…
Descriptors: Sample Size, Factor Analysis, Structural Equation Models, Comparative Analysis
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Mamon, Rogemar S. – International Journal of Mathematical Education in Science and Technology, 2004
Within the general framework of a multifactor term structure model, the fundamental partial differential equation (PDE) satisfied by a default-free zero-coupon bond price is derived via a martingale-oriented approach. Using this PDE, a result characterizing a model belonging to an exponential affine class is established using only a system of…
Descriptors: Factor Analysis, Structural Equation Models, Bond Issues, Computation
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Lincoln, Karen D.; Chatters, Linda M.; Taylor, Robert Joseph – Journal of Marriage and Family, 2005
Structural equation modeling was used to examine the relationships among stress, social support, negative interaction, and mental health in a sample of African American men and women between ages 18 and 54 (N = 591) from the National Comorbidity Study. The study findings indicated that social support decreased the number of depressive symptoms,…
Descriptors: African Americans, Interpersonal Relationship, Interaction, Structural Equation Models
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Csizer, Kata; Dornyei, Zoltan – Modern Language Journal, 2005
Language learning motivation is a complex, composite construct, and although past research has identified a number of its key components, the interrelationship of these components has often been subject to debate. Similarly, the exact contribution of the various motivational components to learning behaviors and learning achievement has also been…
Descriptors: Foreign Countries, Structural Equation Models, Learning Motivation, Second Language Learning
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Kahn, Jeffrey H. – Counseling Psychologist, 2005
The author reacts to the three core articles in the Scientific Forum of the May 2005 issue of "The Counseling Psychologist" about institutional research productivity, the use of theory-driven research, and the application of structural equation modeling to research in counseling psychology. To have a research base that maximizes divergent…
Descriptors: Structural Equation Models, Productivity, Institutional Research, Counseling Psychology
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Schmittmann, Verena D.; Dolan, Conor V.; van der Maas, Han L. J.; Neale, Michael C. – Multivariate Behavioral Research, 2005
Van de Pol and Langeheine (1990) presented a general framework for Markov modeling of repeatedly measured discrete data. We discuss analogical single indicator models for normally distributed responses. In contrast to discrete models, which have been studied extensively, analogical continuous response models have hardly been considered. These…
Descriptors: Markov Processes, Models, Responses, Modeling (Psychology)
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Schweizer, Karl; Moosbrugger, Helfried – Intelligence, 2004
The paper reports on an investigation of attention and working memory as sources of intelligence. The investigation was concentrated on the relatedness of attention and working memory as predictors of intelligence and on the structure underlying the prediction. In a sample of 120 participants, intelligence was assessed by the Advanced Progressive…
Descriptors: Intelligence, Memory, Predictor Variables, Attention
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LaRusso, Maria D.; Romer, Daniel; Selman, Robert L. – Journal of Youth and Adolescence, 2008
Positive school climates have been found to have favorable effects on adolescent health risk behaviors and mental health outcomes. However, the mechanisms by which teacher behavior may promote such effects in high schools have not been extensively studied. Based on social control theory and a social developmental-contextual model, it was predicted…
Descriptors: High School Students, Teacher Behavior, Drug Use, Depression (Psychology)
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French, Doran C.; Eisenberg, Nancy; Vaughan, Julie; Purwono, Urip; Suryanti, Telie A. – Developmental Psychology, 2008
This study assessed the relation between religious involvement and multiple indices of competence in 183 eighth- and ninth-grade Indonesian Muslim adolescents (M = 13.3 years). The authors assessed spirituality and religiosity using both parent and adolescent reports, and social competence and adjustment using multiple measures and data sources.…
Descriptors: Muslims, Prosocial Behavior, Structural Equation Models, Religion
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Neumann, Craig S.; Hare, Robert D. – Journal of Consulting and Clinical Psychology, 2008
Numerous studies conducted with offender or forensic psychiatric samples have revealed that individuals with psychopathic traits are at risk for violence and other externalizing psychopathology. These traits appear to be continuously distributed in these samples, leading investigators to speculate on the presence of such traits in the general…
Descriptors: Intelligence, Violence, Persuasive Discourse, Drinking
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Cummings, E. Mark; Schermerhorn, Alice C.; Keller, Peggy S.; Davies, Patrick T. – Social Development, 2008
This study extends the investigation of family process models of parental dysphoria and child adjustment, by examining depressive symptoms in both fathers and mothers, and by examining children's representations of family relationships as possible explanatory mechanisms. Participants were 232 children (Time 1 mean age: 5.99; 105 boys, 127 girls)…
Descriptors: Structural Equation Models, Attachment Behavior, Family Relationship, Depression (Psychology)
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Williams, Tricia S.; Connolly, Jennifer; Pepler, Debra; Craig, Wendy; Laporte, Lise – Journal of Consulting and Clinical Psychology, 2008
The present study examined physical dating aggression in different adolescent relationships and assessed linear, threshold, and moderator risk models for recurrent aggressive relationships. The 621 participants (59% girls, 41% boys) were drawn from a 1-year longitudinal survey of Canadian high school youths ranging from Grade 9 through Grade 12.…
Descriptors: Structural Equation Models, Psychopathology, Risk, Adolescents
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Blackwell, Christopher W.; Kiehl, Ermalynn M. – Journal of LGBT Youth, 2008
This study examined registered nurses' overall attitudes and homophobia towards gays and lesbians in the workplace. Homophobia scores, represented by the Attitudes Toward Lesbians and Gay Men (ATLG) Scale, was the dependent variable. Overall homophobia scores were assessed among a randomized stratified sample of registered nurses licensed in the…
Descriptors: Structural Equation Models, Nurses, Statistical Analysis, Homosexuality
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Jayakumar, Uma M. – Harvard Educational Review, 2008
In this article, Uma Jayakumar investigates the relationship between white individuals' exposure to racial diversity during college and their postcollege cross-cultural workforce competencies. Using survey data from the Cooperative Institutional Research Program, housed in the Higher Education Research Institute at the University of California at…
Descriptors: Higher Education, Institutional Research, Structural Equation Models, Racial Relations
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