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Hallerod, Bjorn; Bask, Miia – Social Indicators Research, 2008
The central aim of the present paper is to analyse the degree to which welfare problems accumulate over time and to what extent such an accumulation is related to class position and household formation. We utilize longitudinal data from the Swedish Survey of Living Conditions, following a panel that was first interviewed in 1979 and, thereafter,…
Descriptors: Structural Equation Models, Disadvantaged Environment, Longitudinal Studies, National Surveys
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Jones-Farmer, L. Allison; Pitts, Jennifer P.; Rainer, R. Kelly – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Although SAS PROC CALIS is not designed to perform multigroup comparisons, it is believed that SAS can be "tricked" into doing so for groups of equal size. At present, there are no comprehensive examples of the steps involved in performing a multigroup comparison in SAS. The purpose of this article is to illustrate these steps. We demonstrate…
Descriptors: Goodness of Fit, Structural Equation Models, Measurement Techniques, Interpersonal Communication
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Trentacosta, Christopher J.; Shaw, Daniel S. – Journal of Abnormal Child Psychology, 2008
The present study examined relations among maternal psychological resources, rejecting parenting, and early adolescent antisocial behavior in a sample of 231 low-income mothers and their sons with longitudinal assessments from age 18 months to 12 years. The maternal resources examined were age at first birth, aggressive personality, and empathy.…
Descriptors: Intervention, Mothers, Antisocial Behavior, Structural Equation Models
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de Leeuw, Rebecca N. H.; Scholte, Ron H. J.; Harakeh, Zeena; van Leeuwe, Jan F. J.; Engels, Rutger C. M. E. – Journal of Youth and Adolescence, 2008
In this study, we investigated whether parental smoking-specific communication is related to adolescents' friendship-selection processes. Furthermore, we investigated whether adolescents and their best friends influence each other over time, and what role parents play in this process. In the present study we used data from the Family and Health…
Descriptors: Smoking, Structural Equation Models, Friendship, Older Adults
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Martens, Matthew P.; Martin, Jessica L.; Hatchett, E. Suzanne; Fowler, Roneferiti M.; Fleming, Kristie M.; Karakashian, Michael A.; Cimini, M. Dolores – Journal of Counseling Psychology, 2008
Approximately 40% of college students reported engaging in heavy episodic or "binge" drinking in the 2 weeks prior to being surveyed. Research indicates that college students suffering from depression are more likely to report experiencing negative consequences related to their drinking than other students are. The reasons for this…
Descriptors: College Students, Structural Equation Models, Drinking, Depression (Psychology)
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Tang, Mei; Pan, Wei; Newmeyer, Mark D. – Professional School Counseling, 2008
This article explores the factors influencing high school students' career aspirations with a study analyzing 141 high school students. The Social Cognitive Career Development Model was utilized to examine the interactive relationships among learning experiences, career self-efficacy, outcome expectations, career interests, and career choices. The…
Descriptors: High Schools, Intervention, Structural Equation Models, Self Efficacy
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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
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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
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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
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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
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
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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
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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
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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
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