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Teo, Timothy – Campus-Wide Information Systems, 2010
Purpose: The purpose of this paper is to examine the effect of gender on pre-service teachers' computer attitudes. Design/methodology/approach: A total of 157 pre-service teachers completed a survey questionnaire measuring their responses to four constructs which explain computer attitude. These were administered during the teaching term where…
Descriptors: Foreign Countries, Structural Equation Models, Statistical Significance, Factor Analysis
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Volkwein, J. Fredericks; Yin, Alexander C. – New Directions for Institutional Research, 2010
This chapter summarizes ten selected issues and common problems that arise in most assessment research projects. These include: (1) the uses of grades in assessment; (2) institutional review boards; (3) research design as a compromise; (4) standardized testing; (5) self-reported measures; (6) missing data; (7) weighting data; (8) conditional…
Descriptors: Research Design, Research Methodology, Standardized Tests, Least Squares Statistics
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Shen, Bo; Li, Weidong; Sun, Haichun; Rukavina, Paul Bernard – Journal of Teaching in Physical Education, 2010
Guided by Green-Demers, Leagult, Pelletier, and Pelletier's (2008) assumption that amotivation (absence of motivation) is a multidimensional construct, we designed this study to investigate the influence of inadequate teacher-to-student social support on amotivation of high-school physical education students. Five hundred and sixty-six ninth…
Descriptors: Physical Education, Structural Equation Models, Questionnaires, Grade 9
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Mugaloglu, Ebru Z.; Bayram, Hale – Scandinavian Journal of Educational Research, 2010
This study aims to establish a viable structural model of prospective science teachers' nature of science (NOS) views, which could be used as an analytical tool for understanding the complex relationships between prospective teachers' conceptions of NOS and factors possibly affecting their conceptions. In order to construct such a model, likely…
Descriptors: Structural Equation Models, Scientific Principles, Academic Achievement, Science Process Skills
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Birman, Dina; Persky, Irena; Chan, Wing Yi – International Journal of Behavioral Development, 2010
The current paper explores the salience and impact of ethnic and national identities for immigrants that are negotiating more than two cultures. Specifically, we were interested in the ways in which Jewish immigrant adolescents from the former Soviet Union integrate their Russian, Jewish, and American identities, and to what extent identification…
Descriptors: Ethnicity, Jews, Structural Equation Models, Adolescents
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Lee, Jung-Wan – Internet and Higher Education, 2010
This paper examines potential differences between Korean and American students in terms of their perception levels regarding online education support service quality, online learning acceptance, and satisfaction. Eight hundred and seventy-two samples, which were collected from students in online classes in the United States and Korea, were…
Descriptors: Foreign Countries, Electronic Learning, Online Courses, Factor Analysis
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Bubany, Shawn T.; Hansen, Jo-Ida C. – Measurement and Evaluation in Counseling and Development, 2010
Conceptual differences between self-efficacy and ability self-estimate scores, used in vocational psychology and career counseling, were examined with confirmatory factor analysis, discriminate relations, and reliability analysis. Results suggest that empirical differences may be due to measurement error or scale content, rather than due to the…
Descriptors: Self Efficacy, Measurement, Factor Analysis, Error of Measurement
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Kaufman, Scott Barry; DeYoung, Caroline G.; Gray, Jeremy R.; Jimenez, Luis; Brown, Jamie; Mackintosh, Nicholas – Cognition, 2010
The ability to automatically and implicitly detect complex and noisy regularities in the environment is a fundamental aspect of human cognition. Despite considerable interest in implicit processes, few researchers have conceptualized implicit learning as an ability with meaningful individual differences. Instead, various researchers (e.g., Reber,…
Descriptors: Intelligence, Structural Equation Models, Associative Learning, Personality
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Krishnakumar, Jaya; Nagar, A. L. – Social Indicators Research, 2008
Recent empirical literature has seen many multidimensional indices emerge as well-being or poverty measures, in particular indices derived from principal components and various latent variable models. Though such indices are being increasingly and widely employed, few studies motivate their use or report the standard errors or confidence intervals…
Descriptors: Intervals, Structural Equation Models, Factor Analysis, Computation
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Hambrick, David Z.; Pink, Jeffrey E.; Meinz, Elizabeth J.; Pettibone, Jonathan C.; Oswald, Frederick L. – Intelligence, 2008
The purpose of this study was to investigate sources of inter-individual differences in current events knowledge. The study occurred in two sessions. In the initial session, 579 participants completed tests to ability, personality, and interest factors, as well as prior knowledge of current events. Approximately 10 weeks later, participants…
Descriptors: Intelligence, Current Events, Structural Equation Models, Prior Learning
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Taku, Kanako; Calhoun, Lawrence G.; Cann, Arnie; Tedeschi, Richard G. – Death Studies, 2008
This study examined the relationships between rumination, distress and posttraumatic growth (PTG). Seventy-one bereaved Japanese university students completed the PTG Inventory, the Impact of Event Scale-Revised, and a rumination scale. Three models, with variables including intrusive rumination, deliberate rumination, distress, and PTG, were…
Descriptors: Structural Equation Models, Measures (Individuals), Posttraumatic Stress Disorder, Foreign Countries
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Savalei, Victoria; Kolenikov, Stanislav – Psychological Methods, 2008
Recently, R. D. Stoel, F. G. Garre, C. Dolan, and G. van den Wittenboer (2006) reviewed approaches for obtaining reference mixture distributions for difference tests when a parameter is on the boundary. The authors of the present study argue that this methodology is incomplete without a discussion of when the mixtures are needed and show that they…
Descriptors: Structural Equation Models, Goodness of Fit, Evaluation Methods, Statistical Analysis
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Hall, Scott S.; Burns, David D.; Lightbody, Amy A.; Reiss, Allan L. – Journal of Abnormal Child Psychology, 2008
Structural equation modeling (SEM) was used to examine the development of intellectual functioning in 145 school-age pairs of siblings. Each pair included one child with Fragile X syndrome (FXS) and one unaffected sibling. All pairs of children were evaluated on the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) at time 1 and 80…
Descriptors: Intellectual Development, Siblings, Structural Equation Models, Mental Retardation
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Simmons, Leigh A.; Braun, Bonnie; Charnigo, Richard; Havens, Jennifer R.; Wright, David W. – Journal of Rural Health, 2008
Context and Purpose: Depression among rural women is a major public health concern. The purpose of this study was to test the competing theories of social causation and social selection to assess the relationship between depression and economic status for a sample of rural, low-income women in the United States. Methods: Structural equation…
Descriptors: Depression (Psychology), Poverty, Rural Population, Females
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Jo, Booil – Psychological Methods, 2008
This article links the structural equation modeling (SEM) approach with the principal stratification (PS) approach, both of which have been widely used to study the role of intermediate posttreatment outcomes in randomized experiments. Despite the potential benefit of such integration, the 2 approaches have been developed in parallel with little…
Descriptors: Structural Equation Models, Monte Carlo Methods, Inferences, Outcomes of Treatment
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