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Peer reviewedSigfusdottir, Inga-Dora; Farkas, George; Silver, Eric – Journal of Youth and Adolescence, 2004
Drawing on R. Agnew's (Foundation for a general strain theory of crime and delinquency. Criminology 30: 47-87, 1992) general strain theory, this paper examines whether depressed mood and anger mediate the effects of family conflict on delinquency. We examine data on 7,758 students, 14-16 years old, attending the compulsory 9th and 10th grades of…
Descriptors: Structural Equation Models, Delinquency, Conflict, Adolescents
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
Keels, Micere – Early Childhood Research Quarterly, 2009
Data from the Early Head Start Research and Evaluation study were used to examine the extent to which several factors mediate between- and within-ethnic-group differences in parenting beliefs and behaviors, and children's early cognitive development (analysis sample of 1198 families). The findings indicate that Hispanic-, European-, and…
Descriptors: African Americans, Structural Equation Models, Disadvantaged Youth, Child Rearing
Brown, Gavin T. L.; Kennedy, Kerry J.; Fok, Ping Kwan; Chan, Jacqueline Kin Sang; Yu, Wai Ming – Assessment in Education: Principles, Policy & Practice, 2009
Hong Kong is seeking to increase the use of "assessment for learning" rather than rely on "assessment of learning" through summative examinations. Nearly 300 teachers from 14 primary and secondary schools answered a Chinese translation of the Teachers' Conceptions of Assessment inventory and a new Practices of Assessment…
Descriptors: School Culture, Structural Equation Models, Student Improvement, Educational Change
Ciarrochi, Joseph; Leeson, Peter; Heaven, Patrick C. L. – Journal of Counseling Psychology, 2009
Past research has documented a link between negative problem orientation (NPO) and poor emotional well-being, but little of this research has focused on adolescence or has collected multiple waves of data. The authors conducted a 3-wave longitudinal survey of 841 adolescents in Grades 8, 9, and 10 (428 boys, 411 girls, 2 unidentified). The survey…
Descriptors: Identification, Adolescents, Grade 8, Grade 9
Krinzinger, Helga; Kaufmann, Liane; Willmes, Klaus – Journal of Psychoeducational Assessment, 2009
Mathematical learning disabilities (MLDs) are often associated with math anxiety, yet until now, very little is known about the causal relations between calculation ability and math anxiety during early primary school years. The main aim of this study was to longitudinally investigate the relationship between calculation ability, self-reported…
Descriptors: Structural Equation Models, Learning Disabilities, Computation, Grade 3
Schumacker, Randall E. – 1992
Several goodness of fit (GOF) criteria have been developed to assist the researcher in interpreting structural equation models. However, the determination of GOF for structural equation models is not as straightforward as that for other statistical approaches in multivariate procedures. The four GOF criteria used across the commonly used…
Descriptors: Chi Square, Comparative Analysis, Equations (Mathematics), Estimation (Mathematics)
von Davier, Alina A.; Carstensen, Claus H.; von Davier, Matthias – ETS Research Report Series, 2006
Measuring and linking competencies require special instruments, special data collection designs, and special statistical models. The measurement instruments are tests or tests forms, which can be used in the following situations: The same test can be given repeatedly; two or more parallel tests forms (i.e., forms intended to be similar in…
Descriptors: Scores, Measurement Techniques, Competence, Comparative Analysis
Peer reviewedKenny, David A.; Zautra, Alex – Journal of Consulting and Clinical Psychology, 1995
Describes a new approach for analyzing an individual's responses made at multiple times. Proposes that three sources of variance determine a person's current standing on a variable: trait (term does not change), state (term changes), and error (random term). Shows how structural equation modeling can be used and presents an extended example. (RJM)
Descriptors: Clinical Psychology, Factor Analysis, Factor Structure, Item Analysis
Peer reviewedKeith, Timothy Z. – Remedial and Special Education (RASE), 1993
This overview of nonexperimental causal research methods focuses on latent variable structural equation modeling using the LISREL computer program. An extended example in special education is used to present LISREL as an extension of structural equations analysis (path analysis) and as a method of reducing the effects of error in research.…
Descriptors: Causal Models, Computer Oriented Programs, Computer Software, Data Analysis

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