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Hanscombe, Ken B.; Haworth, Claire M. A.; Davis, Oliver S. P.; Jaffee, Sara R.; Plomin, Robert – Learning and Individual Differences, 2010
Chaos in the home is a key environment in cognitive and behavioural development. However, we show that children's experience of home chaos is partly genetically mediated. We assessed children's perceptions of household chaos at ages 9 and 12 in 2337 pairs of twins. Using child-specific reports allowed us to use structural equation modelling to…
Descriptors: Twins, Environmental Influences, Cognitive Development, Behavior Development
Cheng, Sheung-Tak; Li, Kin-Kit – Psychological Assessment, 2010
Major life events and hassles have been considered 2 distinct constructs in the measurement of stress. Research also shows that chronic events are more impactful than time-limited ones. This study reports a new approach to measuring stress in which major life events are combined with recurrent hassles to form a single index--the Adolescent Stress…
Descriptors: Structural Equation Models, Adolescents, Foreign Countries, Depression (Psychology)
Jorgensen, Bryce L.; Savla, Jyoti – Family Relations, 2010
This article tests a conceptual model of perceived parental influence on the financial literacy of young adults. Structural equation modeling was used to test whether (a) parents were perceived to influence young adults' financial knowledge, attitudes, and behaviors and (b) the degree to which young adults' financial attitudes mediated financial…
Descriptors: Structural Equation Models, Money Management, Young Adults, Knowledge Level
Siu, Oi-ling; Lu, Jia-fang; Brough, Paula; Lu, Chang-qin; Bakker, Arnold B.; Kalliath, Thomas; O'Driscoll, Michael; Phillips, David R.; Chen, Wei-qing; Lo, Danny; Sit, Cindy; Shi, Kan – Journal of Vocational Behavior, 2010
This article proposes a theoretical model of work-family enrichment and tests the mediating role of work engagement. The inclusion of work engagement extends prior research on work-family interface, and allows for examination of the effects of role resources (job resources, family support) on work-family enrichment. A two-wave survey was conducted…
Descriptors: Structural Equation Models, Family Programs, Foreign Countries, Time on Task
Peugh, James L.; Enders, Craig K. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Cluster sampling results in response variable variation both among respondents (i.e., within-cluster or Level 1) and among clusters (i.e., between-cluster or Level 2). Properly modeling within- and between-cluster variation could be of substantive interest in numerous settings, but applied researchers typically test only within-cluster (i.e.,…
Descriptors: Structural Equation Models, Monte Carlo Methods, Multivariate Analysis, Sampling
Hamilton, John; Tee, Singwhat – Computers & Education, 2010
This empirical research surveys first year tertiary business students across different campuses regarding their perceived views concerning traditional, blended and flexible instructional approaches. A structural equation modeling approach shows traditional instructional modes deliver lower levels of student-perceived learning quality, learning…
Descriptors: Structural Equation Models, Learning Experience, Teaching Methods, Higher Education
Iskender, Murat; Akin, Ahmet – Computers & Education, 2010
The purpose of this research is to examine the relationship of internet addiction, social self-efficacy, and academic locus of control. Participants were 311 university students who completed a questionnaire package that included the Online Cognition Scale, the Academic Locus of Control Scale, and the Perceived Social Self-efficacy Scale. The…
Descriptors: Locus of Control, Structural Equation Models, Self Efficacy, Measures (Individuals)
Interdependence in Women with Breast Cancer and Their Partners: An Interindividual Model of Distress
Dorros, Sam M.; Card, Noel A.; Segrin, Chris; Badger, Terry A. – Journal of Consulting and Clinical Psychology, 2010
Objective: The aim of this investigation was to test whether interdependence in dyads living with breast cancer could account for person-partner crossover effects in distress outcomes. Method: The sample consisted of 95 dyads with early-stage breast cancer. By using reciprocal dyadic data from women with breast cancer and their partners, we fit a…
Descriptors: Females, Well Being, Cancer, Physical Health
Choi, Jaehwa; Harring, Jeffrey R.; Hancock, Gregory R. – Multivariate Behavioral Research, 2009
Throughout much of the social and behavioral sciences, latent growth modeling (latent curve analysis) has become an important tool for understanding individuals' longitudinal change. Although nonlinear variations of latent growth models appear in the methodological and applied literature, a notable exclusion is the treatment of growth following…
Descriptors: Causal Models, Structural Equation Models, Longitudinal Studies, Change
Evaluating Model Fit for Growth Curve Models: Integration of Fit Indices from SEM and MLM Frameworks
Wu, Wei; West, Stephen G.; Taylor, Aaron B. – Psychological Methods, 2009
Evaluating overall model fit for growth curve models involves 3 challenging issues. (a) Three types of longitudinal data with different implications for model fit may be distinguished: balanced on time with complete data, balanced on time with data missing at random, and unbalanced on time. (b) Traditional work on fit from the structural equation…
Descriptors: Structural Equation Models, Goodness of Fit, Longitudinal Studies, Comparative Analysis
Rotgans, Jerome; Schmidt, Henk – Educational Studies, 2009
The purpose of the present study was to investigate to what extent self-regulated learning (SRL) is context-dependent. The "Motivated Strategies for Learning Questionnaire" (MSLQ) was repeatedly administered to 155 first-year students at a Singaporean polytechnic--a general version of the MSLQ before students entered the polytechnic and…
Descriptors: Academic Achievement, Predictive Validity, Structural Equation Models, Context Effect
Warren, John Robert – Social Forces, 2009
This research investigates the merits of the "social causation" and "health selection" explanations for associations between socioeconomic status and self-reported overall health, musculoskeletal health and depression. Using data that include information about individuals' SES and health from childhood through late adulthood, I employ structural…
Descriptors: Structural Equation Models, Causal Models, Socioeconomic Status, Self Disclosure (Individuals)
Bollen, Kenneth A.; Davis, Walter R. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
We discuss the identification, estimation, and testing of structural equation models that have causal indicators. We first provide 2 rules of identification that are particularly helpful in models with causal indicators--the 2C emitted paths rule and the exogenous X rule. We demonstrate how these rules can help us distinguish identified from…
Descriptors: Structural Equation Models, Testing, Identification, Statistical Significance
Mieg, Harald A. – High Ability Studies, 2009
The aim of this article is to empirically clarify factors and conditions of expertise. In addition to the core concept of expertise as excellence, a second factor needs to be taken into account: professionalism, or professional engagement. This hypothesis was tested and confirmed using data obtained from a survey on Swiss environmental…
Descriptors: Structural Equation Models, Foreign Countries, Surveys, Factor Analysis
Fabra, M. Eugenia; Camison, Cesar – Economics of Education Review, 2009
Empirical literature has traditionally analyzed the effect of education on job satisfaction with single-equation models that ignore interrelationships between theoretical explanatory variables. Their results are somewhat inconclusive. We propose estimating a structural equation model to obtain both the direct effects and the set of indirect…
Descriptors: Job Satisfaction, Education Work Relationship, Structural Equation Models, Economics

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