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Biesanz, Jeremy C.; Deeb-Sossa, Natalia; Papadakis, Alison A.; Bollen, Kenneth A.; Curran, Patrick J. – Psychological Methods, 2004
The coding of time in growth curve models has important implications for the interpretation of the resulting model that are sometimes not transparent. The authors develop a general framework that includes predictors of growth curve components to illustrate how parameter estimates and their standard errors are exactly determined as a function of…
Descriptors: Intervals, Structural Equation Models, Computation, Regression (Statistics)
Kosciulek, John F. – Rehabilitation Counseling Bulletin, 2005
One model that is potentially useful in the rehabilitation field is the Consumer-Directed Theory of Empowerment (CDTE; Kosciulek, 1999a). However, additional empirical data are needed to further develop and critically evaluate the CDTE. To accomplish this task, the purpose of this study was to test the hypothesized structural model CDTE in a…
Descriptors: Structural Equation Models, Vocational Rehabilitation, Databases, Longitudinal Studies
Davey, Adam – Structural Equation Modeling: A Multidisciplinary Journal, 2005
Effects of incomplete data on fit indexes remain relatively unexplored. We evaluate a wide set of fit indexes (?[squared], root mean squared error of appproximation, Normed Fit Index [NFI], Tucker-Lewis Index, comparative fit index, gamma-hat, and McDonald's Centrality Index) varying conditions of sample size (100-1,000 in increments of 50),…
Descriptors: Goodness of Fit, Structural Equation Models, Data Analysis
Graham, John W. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Conventional wisdom in missing data research dictates adding variables to the missing data model when those variables are predictive of (a) missingness and (b) the variables containing missingness. However, it has recently been shown that adding variables that are correlated with variables containing missingness, whether or not they are related to…
Descriptors: Structural Equation Models, Simulation, Computation, Maximum Likelihood Statistics
Kim, Kevin H. – Structural Equation Modeling, 2005
The relation among fit indexes, power, and sample size in structural equation modeling is examined. The noncentrality parameter is required to compute power. The 2 existing methods of computing power have estimated the noncentrality parameter by specifying an alternative hypothesis or alternative fit. These methods cannot be implemented easily and…
Descriptors: Structural Equation Models, Sample Size, Goodness of Fit
McDonald, Roderick P. – Multivariate Behavioral Research, 2004
Conventional structural equation modeling fits a covariance structure implied by the equations of the model. This treatment of the model often gives misleading results because overall goodness of fit tests do not focus on the specific constraints implied by the model. An alternative treatment arising from Pearl's directed acyclic graph theory…
Descriptors: Equations (Mathematics), Goodness of Fit, Structural Equation Models
Kennedy, Gary J. – ProQuest LLC, 2009
This study assesses the influence of student values on long-term self-regulatory decisions defined in terms of a tendency to procrastinate and how these values, indirectly through procrastination, but also directly, affect important motivational, affective, social and behavioral academic outcomes of first quarter freshmen. Results of a structural…
Descriptors: Grade Point Average, Self Efficacy, Academic Achievement, Goal Orientation
Kung, Hsin-Yi – Policy Futures in Education, 2009
The Third International Mathematics and Science Study research of the International Association for the Evaluation of Educational Achievement reported in 2003 that Taiwanese fourth- and eighth-graders' mathematics performance exceeded the international average; both groups ranked fourth from among all the participant countries. However, the Index…
Descriptors: Mathematics Education, Self Efficacy, Mathematics Achievement, Foreign Countries
van Weerdenburg, Marjolijn; Verhoeven, Ludo; van Balkom, Hans; Bosman, Anna – Scientific Studies of Reading, 2009
This study investigated the role of cognitive and language skills as predictors of early literacy skills in children with Specific Language Impairment. A range of cognitive and linguistic skills were assessed in a sample of 137 eight-year-old children with SLI at the beginning of the school year, and 6 months later on word decoding and reading…
Descriptors: Reading Comprehension, Structural Equation Models, Linguistics, Language Impairments
Davies, Patrick T.; Sturge-Apple, Melissa L.; Woitach, Meredith J.; Cummings, E. Mark – Developmental Psychology, 2009
Toward advancing conceptualizations of the spillover hypothesis, this study examined the conditions and mechanisms underlying the transmission of distress from the interparental relationship to parenting difficulties over a 2-year period in a sample of 233 mothers (M = 35.0 years) and fathers (M = 36.8 years) of kindergarten children. Findings…
Descriptors: Security (Psychology), Mothers, Structural Equation Models, Conflict
Shermis, Mark D.; Long, Susanne K. – Journal of Psychoeducational Assessment, 2009
This study investigated the convergent and discriminant validity of the high-stakes Florida Comprehensive Assessment Test (FCAT) in both reading and writing at grade levels 4, 8, and 10. The data from the 2006 FCAT administration were analyzed via traditional multitrait-multimethod (MTMM) analysis to identify the factor structure and structural…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Writing Tests, Validity
Sandler, Martin E. – Online Submission, 2010
This study explores the deployment of electronic portfolios to a university-wide cohort of freshman undergraduates that included a subgroup of at-risk and lower academically prepared learners. Five evaluative dimensions based on persistence and engagement theory were included in the development of four assessment rubrics exploring goal clarity,…
Descriptors: Portfolios (Background Materials), Social Integration, Structural Equation Models, Student Adjustment
Gardner, Robert D. – Arts Education Policy Review, 2010
The purpose of this study was to construct a profile of K-12 music teachers in the United States and develop a model to predict their retention, turnover, and attrition. Responses to the "Schools and Staffing Survey" from 47,857 K-12 public and private school teachers, including 1,903 music teachers, were analyzed using comparative…
Descriptors: Teaching (Occupation), Private Schools, Elementary Secondary Education, Structural Equation Models
Prado, Guillermo; Huang, Shi; Maldonado-Molina, Mildred; Bandiera, Frank; Schwartz, Seth J.; de la Vega, Pura; Brown, C. Hendricks; Pantin, Hilda – Health Education & Behavior, 2010
Ecodevelopmental theory is a theoretical framework used to explain the interplay among risk and protective processes associated with HIV risk behaviors among adolescents. Although ecodevelopmentally based interventions have been found to be efficacious in preventing HIV risk behaviors among Hispanic youth, this theory has not yet been directly…
Descriptors: Structural Equation Models, Sexually Transmitted Diseases, Parents, Sexuality
Sharkey, Jill D.; You, Sukkyung; Schnoebelen, Katrina – Psychology in the Schools, 2008
Given the importance of student engagement for healthy outcomes, research needs to investigate whether school-based assets promote student engagement beyond individual and family influences. Unfortunately, such research has been limited by a lack of valid instrumentation. After examining the psychometrics of the California Healthy Kids Survey…
Descriptors: Research Needs, Structural Equation Models, Academic Achievement, Risk

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