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Fletcher, Anne C.; Walls, Jill K.; Eanes, Angella Y.; Troutman, David R. – School Community Journal, 2010
We tested a model considering the manner in which mothers' use of their own social relationships and efforts to facilitate their children's school-based social relationships were associated with two distinct types of school-based competence: academic achievement and levels of stress experienced within the school environment. Fourth grade children…
Descriptors: Mothers, Structural Equation Models, Academic Achievement, Questionnaires
Freeze, Ronald D.; Alshare, Khaled A.; Lane, Peggy L.; Wen, H. Joseph – Journal of Information Systems Education, 2010
This study utilized the Information Systems Success (ISS) model in examining e-learning systems success. The study was built on the premise that system quality (SQ) and information quality (IQ) influence system use and user satisfaction, which in turn impact system success. A structural equation model (SEM), using LISREL, was used to test the…
Descriptors: Student Attitudes, User Satisfaction (Information), Structural Equation Models, Information Systems
Grano, Caterina; Lucidi, Fabio; Zelli, Arnaldo; Violani, Cristiano – International Journal of Aging and Human Development, 2008
The present study focused on changes in volunteering over time among Italian adults and examined a model in which motives from self-determination theory (SDT) were hypothesized to influence a series of social-cognitive processes including self-efficacy judgments and constructs from the theory of planned behavior (TPB). The study was conducted with…
Descriptors: Structural Equation Models, Foreign Countries, Cognitive Processes, Volunteers
Hirschfeld, Robert R.; Thomas, Christopher H.; McNatt, D. Brian – Educational and Psychological Measurement, 2008
The authors explored implications of individuals' self-deception (a trait) for their self-reported intrinsic and extrinsic motivational dispositions and their actual learning performance. In doing so, a higher order structural model was developed and tested in which intrinsic and extrinsic motivational dispositions were underlying factors that…
Descriptors: Deception, Predictor Variables, Motivation, Incentives
Serovich, Julianne M.; Lim, Ji-Young; Mason, Tina L. – Health & Social Work, 2008
The purpose of this study was to evaluate the applicability of two theories of HIV disclosure previously tested with men. Participants included 125 HIV-positive women enrolled in a larger, longitudinal study of HIV disclosure and mental health. Structural equation modeling was used to analyze the proposed theoretical models. The disease…
Descriptors: Females, Structural Equation Models, Acquired Immunodeficiency Syndrome (AIDS), Longitudinal Studies
Romer, Daniel; Betancourt, Laura; Giannetta, Joan M.; Brodsky, Nancy L.; Farah, Martha; Hurt, Hallam – Neuropsychologia, 2009
Initiation of drug use and other risky behavior in preadolescence is associated with poor developmental outcomes. In this research, we examine models that ascribe the trajectory to (a) weak executive cognitive function (ECF), (b) early manifestation of externalizing problems, or (c) heightened levels of trait impulsivity. We test the explanatory…
Descriptors: Conceptual Tempo, Early Intervention, Drug Use, Preadolescents
Feldman, Betsy J.; Masyn, Katherine E.; Conger, Rand D. – Developmental Psychology, 2009
Analyzing problem-behavior trajectories can be difficult. The data are generally categorical and often quite skewed, violating distributional assumptions of standard normal-theory statistical models. In this article, the authors present several currently available modeling options, all of which make appropriate distributional assumptions for the…
Descriptors: Structural Equation Models, Behavior Problems, Student Behavior, Adolescents
Gonzalez, Jorge; De Boeck, Paul; Tuerlinckx, Francis – Psychological Methods, 2008
Structural equation models are commonly used to analyze 2-mode data sets, in which a set of objects is measured on a set of variables. The underlying structure within the object mode is evaluated using latent variables, which are measured by indicators coming from the variable mode. Additionally, when the objects are measured under different…
Descriptors: Structural Equation Models, Data Analysis, Evaluation Methods, Models
Liebermann, Susanne; Hoffmann, Stefan – International Journal of Training and Development, 2008
The management literature provides a variety of recommendations as to how workers' customer orientation might be improved, including through training. Crucial factors in the process of transferring the contents of service quality training programs to practice, however, have not yet been sufficiently analysed. This study proposes and tests a model…
Descriptors: Structural Equation Models, Research Methodology, Motivation, German
Gini, Gianluca; Albiero, Paolo; Benelli, Beatrice; Altoe, Gianmarco – Journal of Adolescence, 2008
The literature on participant roles in bullying lacks empirical studies that seek to explain what differentiates defenders from outsiders (or passive bystanders). The present study tested a conceptual model in which two personal characteristics of early adolescent students (empathy and perceived social self-efficacy) were considered as possible…
Descriptors: Bullying, Structural Equation Models, Self Efficacy, Early Adolescents
Was, Christopher A.; Woltz, Dan J. – Journal of Memory and Language, 2007
Two individual differences studies tested relationships between listening comprehension and two conceptualizations of working memory (WM) capacity. Recently, some theorists have stressed that the empirically indicated limits of rehearsal-based WM storage components are inconsistent with the amounts of information needed to accomplish complex…
Descriptors: Short Term Memory, Listening Comprehension, Individual Differences, Models
Williams, Jason; MacKinnon, David P. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Recent advances in testing mediation have found that certain resampling methods and tests based on the mathematical distribution of 2 normal random variables substantially outperform the traditional "z" test. However, these studies have primarily focused only on models with a single mediator and 2 component paths. To address this limitation, a…
Descriptors: Intervals, Testing, Predictor Variables, Effect Size
Gignac, G.E. – Intelligence, 2005
Using a semi-partial correlation approach, Gignac, Stough, and Loukomitis [Gignac, G. E., Stough, C., & Loukomitis, S. (2004). Openness, intelligence, and self-report intelligence. Intelligence, 32, 133-143] examined the relationship between Openness and 'g' and residualized scores from Vocabulary and Information as estimates of crystallized…
Descriptors: Figurative Language, Intelligence, Structural Equation Models, Models
Phakiti, Aek – Language Assessment Quarterly, 2008
This article reports on an empirical study that tests a fourth-order factor model of strategic competence through the use of structural equation modeling (SEM). The study examines the hierarchical relationship of strategic competence to (a) strategic knowledge of cognitive and metacognitive strategy use in general (i.e., trait) and (b) strategic…
Descriptors: Structural Equation Models, Reading Achievement, Reading Tests, Learning Strategies
Chaney, Bradford W. – Office of Planning, Evaluation and Policy Development, US Department of Education, 2010
This is the final report of the National Evaluation of Student Support Services (SSS). SSS is one of eight federally funded grant programs that are administered as part of the Federal TRIO Programs within the U.S. Department of Education (ED). The SSS program, in particular, focuses on students while they are enrolled in college. In general, SSS…
Descriptors: Academic Achievement, Grants, College Outcomes Assessment, Outcomes of Education

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