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Courvoisier, Delphine S.; Eid, Michael; Nussbeck, Fridtjof W. – Psychological Methods, 2007
Extensions of latent state-trait models for continuous observed variables to mixture latent state-trait models with and without covariates of change are presented that can separate individuals differing in their occasion-specific variability. An empirical application to the repeated measurement of mood states (N = 501) revealed that a model with 2…
Descriptors: Psychological Patterns, Simulation, Structural Equation Models, Sample Size
Dunst, Carl J.; Hamby, Deborah W.; Brookfield, Jeffri – Journal of Applied Quantitative Methods, 2007
Structural equation modeling was used to evaluate the effects of family, child, and both early childhood intervention process and structural variables on parent and family well-being in a sample of 250 parents involved in birth to age three early childhood intervention programs. Family SES and income had direct positive effects, family-centered…
Descriptors: Early Intervention, Program Evaluation, Structural Equation Models, Self Efficacy
Bridgstock, Ruth – Australian Journal of Career Development, 2007
This paper documents the initial development and validation of a brief quantitative measure of career development influences based on the Systems Theory Framework (STF) of career development (McMahon & Patton, 1995; Patton & McMahon, 1997, 1999, 2006). Initial exploratory factor analyses of pilot study data revealed a six-factor structure based on…
Descriptors: Social Systems, Systems Approach, Career Development, Measures (Individuals)
Lewig, Kerry A.; Xanthopoulou, Despoina; Bakker, Arnold B.; Dollard, Maureen F.; Metzer, Jacques C. – Journal of Vocational Behavior, 2007
This study used the Job Demands-Resources (JD-R) model, developed in the context of occupational well-being in the paid workforce, to examine the antecedents of burnout and connectedness in the formal volunteer rural ambulance officer vocation (N=487). Structural equation modeling using self-reports provide strong evidence for the central…
Descriptors: Job Satisfaction, Structural Equation Models, Volunteers, Burnout
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
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
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
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
Rotolo, Thomas; Wilson, John – Journal of Marriage and Family, 2006
Social scientists have documented the influence of family statuses on volunteering, ignoring intrafamily effects. Using newly issued data from the Current Population Survey on the volunteer behavior of 19,626 American couples, we test two competing theories concerning spousal influences on volunteering. Substitution theory predicts that spouses…
Descriptors: Spouses, Volunteers, Structural Equation Models, Interpersonal Relationship
Maydeu-Olivares, Albert – Psychometrika, 2006
Discretized multivariate normal structural models are often estimated using multistage estimation procedures. The asymptotic properties of parameter estimates, standard errors, and tests of structural restrictions on thresholds and polychoric correlations are well known. It was not clear how to assess the overall discrepancy between the…
Descriptors: Structural Equation Models, Multivariate Analysis, Correlation, Error of Measurement
Shore, Wendy; Katt, James; Lee, Cheng-Yuan; Rasmus, Scott; Saenz, Karen; Speranza, Linda; Witta, E. Lea – 2002
An existing large data set, the Health and Retirement Study 2000 (HRS 2000) was used to explore the relationship between cognition and other factors for individuals aged 65 and older, with a final sample of 1,610 males and 3,549 females. Using structural equation modeling, the entire model was tested to determine if there were differences in how…
Descriptors: Cognitive Processes, Older Adults, Sex Differences, Structural Equation Models
The Equal Correlation Baseline Model for Comparative Fit Assessment in Structural Equation Modeling.
Peer reviewedRigdon, Edward E. – Structural Equation Modeling, 1998
An alternative baseline model for comparative fit assessment of structural equation models is described, evaluated, and compared to the standard "null" baseline model. The new "equal correlation" model constrains all variables to have equal, rather than zero, correlations, but all variances are free. Advantages and limitations…
Descriptors: Comparative Analysis, Correlation, Goodness of Fit, Structural Equation Models
Peer reviewedMarsh, Herbert W. – Structural Equation Modeling, 1998
Discusses concerns with the model proposed by E. Rigdon for computing incremental fit indices in which all measured variables are equally correlated (as opposed to the traditional null model). Proposes retaining the traditional null model with emphasis on the comparative fit of alternative models within a nested sequence that could include the new…
Descriptors: Comparative Analysis, Correlation, Goodness of Fit, Structural Equation Models
Peer reviewedRaykov, Tenko – Multivariate Behavioral Research, 1997
It is shown that, for equivalent structural equation models that have been extended to multigroup models, imposing cross-group equality constraints on no parameters, all parameters, or any number of parameters for which the models are identical preserves the model equivalence property. Results are illustrated with two-group cognitive intervention…
Descriptors: Cognitive Psychology, Groups, Intervention, Mathematical Models

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