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Dixon, Felicia A.; Lapsley, Daniel K.; Hanchon, Timothy A. – Gifted Child Quarterly, 2004
We document a typology of perfectionism in a sample of academically talented adolescents and directly examine its relationship to indices of psychiatric symptomatology, adjustment, self-esteem, and coping. Adolescents enrolled in a state-funded residential academy for academically gifted high school students (N = 141) responded to the…
Descriptors: Adolescents, Multivariate Analysis, Mental Health, Coping
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Bauer, Daniel J. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
To date, finite mixtures of structural equation models (SEMMs) have been developed and applied almost exclusively for the purpose of providing model-based cluster analyses. This type of analysis constitutes a direct application of the model wherein the estimated component distributions of the latent classes are thought to represent the…
Descriptors: Structural Equation Models, Multivariate Analysis, Data Analysis, Evaluation Methods
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Lubke, Gitta H.; Muthen, Bengt O. – Structural Equation Modeling, 2004
Treating Likert rating scale data as continuous outcomes in confirmatory factor analysis violates the assumption of multivariate normality. Given certain requirements pertaining to the number of categories, skewness, size of the factor loadings, and so forth, it seems nevertheless possible to recover true parameter values if the data stem from a…
Descriptors: Likert Scales, Factor Analysis, Factor Structure, Multivariate Analysis
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Hodges, K.; Xue, Y.; Wotring, J. – Journal of Emotional and Behavioral Disorders, 2004
The authors report outcomes for 4,777 youth served by the public mental health system in Michigan who had problems in school, at home, in interpersonal relationships, or in modulating their mood. Cluster analysis identified five subgroups: Pervasive Problems with Mood Disturbance (i.e., severe or moderate impairment in school, at home, in behavior…
Descriptors: Psychological Patterns, Multivariate Analysis, Mental Health, Functional Behavioral Assessment
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Miyazaki, Yasuo; Maier, Kimberly S. – Journal of Educational and Behavioral Statistics, 2005
In hierarchical linear models we often find that group indicator variables at the cluster level are significant predictors for the regression slopes. When this is the case, the average relationship between the outcome and a key independent variable are different from group to group. In these settings, a question such as "what range of the…
Descriptors: Statistical Analysis, Predictor Variables, Multivariate Analysis, Regression (Statistics)
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Dominguez, Anna; Ziviani, Jenny; Rodger, Sylvia – Autism: The International Journal of Research & Practice, 2006
Play is the primary occupation of childhood and provides a potentially powerful means of assessing and treating children with autistic disorder. This study utilized a cross-sectional comparison design to investigate the nature of play engagement in children with AD (n = 24), relative to typically developing children (n = 34) matched for…
Descriptors: Age, Play, Autism, Young Children
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Tekwe, Carmen D.; Carter, Randy L.; Ma, Chang-Xing; Algina, James; Lucas, Maurice E.; Roth, Jeffrey; Ariet, Mario; Fisher, Thomas; Resnick, Michael B. – Journal of Educational and Behavioral Statistics, 2004
Hierarchical Linear Models (HLM) have been used extensively for value-added analysis, adjusting for important student and school-level covariates such as socioeconomic status. A recently proposed alternative, the Layered Mixed Effects Model (LMEM) also analyzes learning gains, but ignores sociodemographic factors. Other features of LMEM, such as…
Descriptors: Accountability, Academic Achievement, Mathematical Models, Statistical Analysis
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Borsuk, Ellen R.; Watkins, Marley W.; Canivez, Gary L. – Journal of Psychoeducational Assessment, 2006
Although often applied in practice, clinically based cognitive subtest profile analysis has failed to achieve empirical support. Nonlinear multivariate subtest profile analysis may have benefits over clinically based techniques, but the psychometric properties of these methods must be studied prior to their implementation and interpretation. The…
Descriptors: Intelligence Tests, Classification, Profiles, Multivariate Analysis
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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
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Brusco, Michael J. – Psychometrika, 2006
Minimization of the within-cluster sums of squares (WCSS) is one of the most important optimization criteria in cluster analysis. Although cluster analysis modules in commercial software packages typically use heuristic methods for this criterion, optimal approaches can be computationally feasible for problems of modest size. This paper presents a…
Descriptors: Multivariate Analysis, Evaluation Criteria, Heuristics, Problem Solving
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Azen, Razia; Budescu, David V. – Journal of Educational and Behavioral Statistics, 2006
Dominance analysis (DA) is a method used to compare the relative importance of predictors in multiple regression. DA determines the dominance of one predictor over another by comparing their additional R[squared] contributions across all subset models. In this article DA is extended to multivariate models by identifying a minimal set of criteria…
Descriptors: Multivariate Analysis, Predictor Variables, Multiple Regression Analysis, Comparative Analysis
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van der Geest, Victor; Blokland, Arjan; Bijleveld, Catrien – Journal of Research in Crime and Delinquency, 2009
The authors analyzed delinquent development from age 12 to 32 in 270 male offenders who underwent residential treatment for problematic behavior and delinquency in a Dutch juvenile justice institution. Stable personality and background characteristics were measured on admission. The development of offending was examined on the basis of conviction…
Descriptors: Delinquency, Psychopathology, Personality Traits, Foreign Countries
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Maldonado, José M. – Multicultural Learning and Teaching, 2008
Master and doctoral students attending CACREP accredited counselor education programs participated in this research study. Of the 189 CACREP accredited programs invited to participate, 21% of the programs had students responding Each participant completed the Multicultural Counseling Inventory and The Counselor Self-Efficacy Scale. Significant…
Descriptors: Ethnicity, Counselor Educators, Multicultural Education, Self Efficacy
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Chuah, Kee Man; Chen, Chwen Jen; Teh, Chee Siong – Themes in Science and Technology Education, 2008
In recent years, the application of virtual reality (VR) technology in education is rapidly gaining momentum. The educational benefits offered by such technology have prompted many educators as well as instructional designers to investigate ways to create effective and engaging VR learning. Instructional designers have examined widely the…
Descriptors: Instructional Design, Computer Simulation, Web Based Instruction, Educational Environment
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Van Mechelen, M. C.; Verhoef, M.; Van Asbeck, F. W. A.; Post, M. W. M. – Developmental Medicine & Child Neurology, 2008
The aim of this study was to: (1) assess work participation among young adults with spina bifida, (2) identify problems perceived in finding employment, and (3) examine which determinants are related to work participation. This cross-sectional study was a follow-up study to the Adolescents with SPina bifida In the Netherlands (ASPINE) study. Data…
Descriptors: Employment, Educational Finance, Congenital Impairments, Young Adults
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