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Lindberg, Sara M.; Grabe, Shelly; Hyde, Janet Shibley – Journal of Research on Adolescence, 2007
Objectified body consciousness (OBC)--the tendency to view one's body as an object for others to look at and evaluate--is theorized to emerge during sexual maturation as adolescents, particularly adolescent girls, experience sexual objectification. Although OBC generally is discussed in developmental terms, research so far has examined primarily…
Descriptors: Sexual Harassment, Females, Early Adolescents, Adolescents
van Gelderen, Benjamin; Heuven, Ellen; van Veldhoven, Marc; Zeelenberg, Marcel; Croon, Marcel – Journal of Vocational Behavior, 2007
The authors examined the relationship between psychological strain, emotional dissonance and emotional job demands during a working day of 65 Dutch (military) police officers, using a 5-day diary design. We hypothesized that emotional dissonance partly mediated the relationship between psychological strain at the start and at the end of a work…
Descriptors: Structural Equation Models, Police, Ecology, Psychology
Tempelaar, Dirk T.; Gijselaers, Wim H.; Schim van der Loeff, Sybrand; Nijhuis, Jan F. H. – Contemporary Educational Psychology, 2007
The question of subject-specificity of achievement motivations is important, both for educational psychology, as well as for educational policy. This study contributes to the investigation of the heterogeneity in achievement motivations in the context of the expectancy-value model. Whereas existing research deals with middle and high school…
Descriptors: Personality, Educational Policy, Educational Psychology, Academic Achievement
Baloglu, Mustafa – 1999
This paper provides theoretical and practical information about using structural equation modeling (SEM) techniques. The first section discusses the theory of SEM, including five general steps: (1) model specification; (2) model identification; (3) model estimation; (4) testing model fit; and (5) model respecification. The second section applies…
Descriptors: Structural Equation Models, Theory Practice Relationship
Kim, Se-Kang – 2002
The effect of bootstrapping was studied by examining whether major profile patterns were replicated when sample sizes were reduced. Profile patterns estimated from the original sample (n=645) of the Wechsler Preschool and Primary Scale of IntelligenceThird Edition (WPPSI-III) Standardization Data were considered major profiles. For bootstrapping,…
Descriptors: Profiles, Sample Size, Structural Equation Models

Babyak, Michael A.; Green, Samuel B. – Multivariate Behavioral Research, 1997
Contrasting positions about the evaluation of multiple tests of constraints and control of Type I errors in structural equation modeling (SEM) are presented. It is argued that researchers should consider controlling for Type I errors in evaluating multiple tests of constraints for other than exploratory analyses. (SLD)
Descriptors: Error of Measurement, Structural Equation Models

Raykov, Tenko; Shrout, Patrick E. – Structural Equation Modeling, 2002
Discusses a method for obtaining point and interval estimates of reliability for composites of measures with a general structure. The approach is based on fitting a correspondingly constrained structural equation model and generalizes earlier covariance structure analysis methods for scale reliability estimation with congeneric tests. (SLD)
Descriptors: Estimation (Mathematics), Reliability, Structural Equation Models

Shipley, Bill – Structural Equation Modeling, 2000
Introduces a new inferential test for acyclic structural equation models (SEM) without latent variables or correlated errors. The test is based on the independence relations predicted by the directed acyclic graph of the SEMs, as given by the concept of d-separation. A wide range of distributional assumptions and structural functions can be…
Descriptors: Graphs, Statistical Inference, Structural Equation Models

Li, Fuzhong; Duncan, Terry E.; Acock, Alan – Structural Equation Modeling, 2000
Presents an extension of the method of estimating interaction effects among latent variables to latent growth curve models developed by K. Joreskog and F. Yang (1996). Illustrates the procedure and discusses results in terms of practical and statistical problems associated with interaction analyses in latent curve models and structural equation…
Descriptors: Estimation (Mathematics), Interaction, Structural Equation Models

Billiet, Jaak B.; McClendon, McKee J. – Structural Equation Modeling, 2000
Studied the measurement of acquiescence in balanced scales using a structural equation modeling approach with subsamples of 986 and 992 from the same population of Belgian adults interviewed about ethnic prejudice. The strong relation in both populations of the latent style factor with a variable "sum of agreements" supports the idea…
Descriptors: Adults, Foreign Countries, Structural Equation Models

Wall, Melanie M.; Amemiya, Yasuo – Journal of Educational and Behavioral Statistics, 2001
Considers the estimation of polynomial structural models and shows a limitation of an existing method. Introduces a new procedure, the generalized appended product indicator procedure, for nonlinear structural equation analysis. Addresses statistical issues associated with the procedure through simulation. (SLD)
Descriptors: Estimation (Mathematics), Simulation, Structural Equation Models

Raykov, Tenko – Structural Equation Modeling, 2001
Discusses a method, based on bootstrap methodology, for obtaining an approximate confidence interval for the difference in root mean square error of approximation of two structural equation models. Illustrates the method using a numerical example. (SLD)
Descriptors: Goodness of Fit, Structural Equation Models
Mehta, Paras D.; Neale, Michael C.; Flay, Brian R. – Psychological Methods, 2004
A didactic on latent growth curve modeling for ordinal outcomes is presented. The conceptual aspects of modeling growth with ordinal variables and the notion of threshold invariance are illustrated graphically using a hypothetical example. The ordinal growth model is described in terms of 3 nested models: (a) multivariate normality of the…
Descriptors: Structural Equation Models, Intervals, Multivariate Analysis
Jackson, Dennis L. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
A number of authors have proposed that determining an adequate sample size in structural equation modeling can be aided by considering the number of parameters to be estimated. While this advice seems plausible, little empirical support appears to exist. A previous study by Jackson (2001), failed to find support for this hypothesis, however, there…
Descriptors: Sample Size, Structural Equation Models, Computation
Ferguson, A.N.; Bowey, J.A. – Journal of Experimental Child Psychology, 2005
This study examined the role of global processing speed in mediating age increases in auditory memory span in 5- to 13-year-olds. Children were tested on measures of memory span, processing speed, single-word speech rate, phonological sensitivity, and vocabulary. Structural equation modeling supported a model in which age-associated increases in…
Descriptors: Structural Equation Models, Long Term Memory