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Wei, Meifen; Shaffer, Philip A.; Young, Shannon K.; Zakalik, Robyn A. – Journal of Counseling Psychology, 2005
This study examined basic psychological needs satisfaction (i.e., the need for autonomy, competence, and relatedness) as a mediator between adult attachment (i.e., anxiety and avoidance) and distress (i.e., shame, depression, and loneliness). A total of 299 undergraduates from a Midwestern university participated. Results from structural equation…
Descriptors: Structural Equation Models, Depression (Psychology), Anxiety, Psychological Needs
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Kellman, Philip J.; Garrigan, Patrick; Shipley, Thomas F.; Yin, Carol; Machado, Liana – Journal of Experimental Psychology: Human Perception and Performance, 2005
Object perception requires interpolation processes that connect visible regions despite spatial gaps. Some research has suggested that interpolation may be a 3-D process, but objective performance data and evidence about the conditions leading to interpolation are needed. The authors developed an objective performance paradigm for testing 3-D…
Descriptors: Cognitive Processes, Visual Perception, Spatial Ability, Computation
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Umana-Taylor, Adriana J.; Bhanot, Ruchi; Shin, Nana – Journal of Family Issues, 2006
An ecological model of ethnic identity was examined among 639 adolescents of Asian Indian, Chinese, Filipino, Vietnamese, and Salvadoran descent. Using structural equation modeling and, specifically, multiple group comparisons, findings indicated that familial ethnic socialization (FES) played a significant role in the process of ethnic identity…
Descriptors: Adolescents, Socialization, Structural Equation Models, Ethnicity
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Mehta, Paras D.; Neale, Michael C. – Psychological Methods, 2005
The article uses confirmatory factor analysis (CFA) as a template to explain didactically multilevel structural equation models (ML-SEM) and to demonstrate the equivalence of general mixed-effects models and ML-SEM. An intuitively appealing graphical representation of complex ML-SEMs is introduced that succinctly describes the underlying model and…
Descriptors: Scripts, Factor Analysis, Structural Equation Models, Modeling (Psychology)
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Maydeu-Olivares, Albert; Bockenholt, Ulf – Psychological Methods, 2005
L. L. Thurstone's (1927) model provides a powerful framework for modeling individual differences in choice behavior. An overview of Thurstonian models for comparative data is provided, including the classical Case V and Case III models as well as more general choice models with unrestricted and factor-analytic covariance structures. A flow chart…
Descriptors: Flow Charts, Factor Analysis, Structural Equation Models, Decision Making
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Chou, Shu-Chiung; Boldy, Duncan P.; Lee, Andy H. – Gerontologist, 2002
Purpose: The purpose of this study was to assess the direction and magnitude of the effects among the components of resident satisfaction in residential aged care and to examine if the relationships among satisfaction components vary according to facility type (i.e., nursing home and hostel). Briefly, a hostel is a low-care facility in which…
Descriptors: Structural Equation Models, Older Adults, Nursing Homes, Health Facilities
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Bennett, M. Daniel, Jr.; Miller, David B. – Research on Social Work Practice, 2006
Objective: This article discusses continued development of the Urban Hassles Index (UHI). The stressors identified in the UHI are chronic and differ substantively from the more acute life events indexes typically employed to measure adolescent stress. Method: Exploratory factor analysis was used to identify the underlying factor structure of the…
Descriptors: Structural Equation Models, Factor Structure, Factor Analysis, Social Work
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Wang, Min Qi; Matthew, Resa F.; Bellamy, Nikki; James, Syretta – American Journal of Health Behavior, 2005
Objective: To evaluate the substance use pathways of minority adolescents with a structural equation modeling (SEM) based on the social ecological model. Method: Seven hundred ninety adolescents completed the baseline survey questionnaire for the Center for Substance Abuse Prevention's Mentoring and Family Strengthening Initiative. The exogenous…
Descriptors: Substance Abuse, Structural Equation Models, Prevention, Family Involvement
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Trautwein, Ulrich; Ludtke, Oliver; Schnyder, Inge; Niggli, Alois – Journal of Educational Psychology, 2006
According to the domain-specific, multilevel homework model proposed in the present study, students' homework effort is influenced by expectancy and value beliefs, homework characteristics, parental homework behavior, and conscientiousness. The authors used structural equation modeling and hierarchical linear modeling analyses to test the model in…
Descriptors: Homework, Models, Expectation, Structural Equation Models
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Harring, Jeffrey R.; Cudeck, Robert; du Toit, Stephen H. C. – Multivariate Behavioral Research, 2006
The nonlinear random coefficient model has become increasingly popular as a method for describing individual differences in longitudinal research. Although promising, the nonlinear model it is not utilized as often as it might be because software options are still somewhat limited. In this article we show that a specialized version of the model…
Descriptors: Computer Software, Structural Equation Models, Individual Differences, Longitudinal Studies
Noble, Julie P.; Schnelker, Diane – ACT, Inc., 2007
This study used hierarchical linear regression to examine the effects of taking specific high school courses on students' ACT performance in English, Mathematics, and Science. In addition, hierarchical logistic regression was used to examine the benefits of taking specific courses on students' likelihood of meeting or exceeding the ACT College…
Descriptors: Structural Equation Models, Regression (Statistics), High School Students, Performance Based Assessment
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Carlo, Gustavo; McGinley, Meredith; Hayes, Rachel; Batenhorst, Candice; Wilkinson, Jamie – Journal of Genetic Psychology, 2007
In the present study, the authors examined the relations among parenting styles, parental practices, sympathy, and prosocial behaviors in adolescents. The participants were 233 adolescents (M age = 16.7 years; 69% girls; mostly White) from public high schools in the Midwestern region of the United States who completed measures of prosocial…
Descriptors: Prosocial Behavior, Parenting Styles, Child Rearing, Adolescents
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Neuenschwander, Markus P.; Vida, Mina; Garrett, Jessica L.; Eccles, Jacquelynne S. – International Journal of Behavioral Development, 2007
The present study compares the relations of family SES and parents' educational expectations during early adolescence with students' self-concept of ability and academic achievement in mathematics and language in two western countries, Switzerland and USA Participants were drawn from two US longitudinal samples, The Michigan Study of Adolescent…
Descriptors: Structural Equation Models, Mathematics Achievement, Academic Achievement, Parent Role
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Shogren, Karrie A.; Wehmeyer, Michael L.; Palmer, Susan B.; Soukup, Jane Helen; Little, Todd D.; Garner, Nancy; Lawrence, Margaret – Exceptional Children, 2007
This article examines the impact of multiple individual and ecological factors on the self-determination of students with learning disabilities, mild and moderate mental retardation, and other health impairments. Baseline data from a multistate, longitudinal research project evaluating interventions to promote self-determination were examined…
Descriptors: Self Determination, Structural Equation Models, Moderate Mental Retardation, Learning Disabilities
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Gungor, Almer (Abak); Eryilmaz, Ali; Fakioglu, Turgut – Journal of Research in Science Teaching, 2007
The purpose of this study was to determine the best-fitting structural equation model between the freshmen's physics achievement and selected affective characteristics related to physics. These characteristics are students' situational interest in physics, personal interest in physics, aspiring extra activities related to physics, importance of…
Descriptors: Foreign Countries, Structural Equation Models, Science Achievement, Student Motivation
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