Publication Date
In 2025 | 30 |
Since 2024 | 146 |
Since 2021 (last 5 years) | 592 |
Since 2016 (last 10 years) | 2462 |
Since 2006 (last 20 years) | 6239 |
Descriptor
Source
Author
Marsh, Herbert W. | 53 |
Raykov, Tenko | 43 |
Teo, Timothy | 43 |
Martin, Andrew J. | 32 |
Lee, Sik-Yum | 30 |
Hancock, Gregory R. | 27 |
Tsai, Chin-Chung | 27 |
Little, Todd D. | 25 |
Bentler, Peter M. | 23 |
Fan, Xitao | 21 |
Yuan, Ke-Hai | 21 |
More ▼ |
Publication Type
Education Level
Audience
Researchers | 42 |
Teachers | 23 |
Practitioners | 19 |
Students | 8 |
Administrators | 7 |
Counselors | 7 |
Parents | 3 |
Policymakers | 3 |
Media Staff | 1 |
Location
Turkey | 272 |
Taiwan | 218 |
China | 207 |
Germany | 190 |
Australia | 158 |
South Korea | 129 |
Malaysia | 128 |
Netherlands | 128 |
Hong Kong | 125 |
Spain | 111 |
Norway | 94 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 3 |
Meets WWC Standards with or without Reservations | 3 |
Does not meet standards | 7 |

Ghisletta, Paolo; McArdle, John J. – Structural Equation Modeling, 2001
Describes some applications of latent growth curve models in the context of structural equation modeling using data from P. Trickett and F. Putnam (1993) on the physical height of abused (n=77) and nonabused (n=75) adolescent girls. Presents power calculations for the ability of the different models to discern the growth of the abuse sample from…
Descriptors: Adolescents, Child Abuse, Females, Height

Ogasawara, Haruhiko – Structural Equation Modeling, 2001
Derives approximations to the distributions of goodness-of-fit indexes in structural equation modeling with the assumption of multivariate normality and slight misspecification of models. Also derives an approximation to the asymptotic covariance matrix for the fit indexes by using the delta method and develops approximations to the densities of…
Descriptors: Goodness of Fit, Statistical Distributions, Structural Equation Models

Wen, Zhonglin; Marsh, Herbert W.; Hau, Kit-Tai – Structural Equation Modeling, 2002
Points out two concerns with recent research by F. Li and others (2000) and T. Duncan and others (1999) that extended the structural equation model of latent interactions developed by K. Joreskog and F. Yang (1996) to latent growth modeling. Used mathematical derivation and a comparison of alternative models fitted to simulated data to develop a…
Descriptors: Goodness of Fit, Interaction, Simulation, Structural Equation Models

Raykov, Tenko – Applied Psychological Measurement, 1999
Suggests that modeling change on the latent dimensions of interest is a better approach to measuring change than focusing on observed change scores and their properties. Discusses a latent-variable modeling approach that focuses on ability-change scores to permit estimation of individual latent-change scores and the relationship of ability-change…
Descriptors: Ability, Change, Measurement Techniques, Models

Raykov, Tenko – Applied Psychological Measurement, 1997
Describes a structural equation model that permits estimation of the reliability index and coefficient of a composite index for congeneric measures. The method is also helpful in exploring the factorial structure of an item set, and its use in scale reliability estimation and development is illustrated. (SLD)
Descriptors: Estimation (Mathematics), Reliability, Structural Equation Models, Test Construction

Sigfusdottir, 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
Beaudoin, Christopher E. – Journal of Community Psychology, 2007
The current study explores the socioenvironmental determinants of youth development, with a focus on the mass media and social capital; it tests a model in which news use and social capital influence youth wellbeing. Social capital is operationally defined in terms of youth involvement and perceptions of place, and youth wellbeing is measured with…
Descriptors: Youth, Social Capital, Mass Media Use, News Media
Charalambous, Charalambos Y.; Pitta-Pantazi, Demetra – Educational Studies in Mathematics, 2007
Teaching and learning fractions has traditionally been one of the most problematic areas in primary school mathematics. Several studies have suggested that one of the main factors contributing to this complexity is that fractions comprise a multifaceted notion encompassing five interrelated subconstructs (i.e., part-whole, ratio, operator,…
Descriptors: Mathematics, Elementary School Mathematics, Correlation, Program Effectiveness
McClenahan, Carol; Shevlin, Mark; Adamson, Gary; Bennett, Cara; O'Neill, Brenda – Health Education Research, 2007
The aim of this study was to test the utility and efficiency of the theory of planned behaviour (TPB) and the health belief model (HBM) in predicting testicular self-examination (TSE) behaviour. A questionnaire was administered to an opportunistic sample of 195 undergraduates aged 18-39 years. Structural equation modelling indicated that, on the…
Descriptors: Structural Equation Models, Self Efficacy, Health Promotion, Health Behavior