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Peer reviewedKoss, Mary P. – Journal of Clinical Psychology, 1980
Long-term clients were not found to differ from short-term clients in the types of problems they presented with, in the diagnoses they received, or on the major demographic variables. The differences seemed to be more of degree than of kind. (Author)
Descriptors: Clinical Diagnosis, Counseling Techniques, Demography, Multivariate Analysis
Peer reviewedMacCallum, Robert C.; Kim, Cheongtag; Malarkey, William B.; Kiecolt-Glaser, Janice K. – Multivariate Behavioral Research, 1997
Methods for studying relationships between patterns of change on different variables are considered, showing how the multilevel modeling framework, often used to study univariate change, can be extended to the multivariate case to yield estimates of covariances of parameters representing aspects of change for different variables. (SLD)
Descriptors: Change, Estimation (Mathematics), Item Response Theory, Mathematical Models
Peer reviewedBoik, Robert J. – Journal of Educational and Behavioral Statistics, 1997
An analysis of repeated measures designs is proposed that uses an empirical Bayes estimator of the covariance matrix. The proposed analysis behaves like a univariate analysis when sample size is small or sphericity nearly satisfied, but behaves like multivariate analysis when sample size is large or sphericity is strongly violated. (SLD)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Multivariate Analysis, Research Design
Peer reviewedPreuss, Lucien; Vorkauf, Helmut – Psychometrika, 1997
An information-theoretic framework is used to analyze the knowledge content in multivariate cross-classified data. Proposes measures based on the information concept, including the knowledge content of a cross classification, its terseness, and the separability of one variable. Presents applications for situations when classical analysis is…
Descriptors: Data Analysis, Information Theory, Knowledge Level, Multivariate Analysis
Peer reviewedTimm, Neil H. – Journal of Educational and Behavioral Statistics, 2002
Shows how to test the hypothesis that a nonnested model fits a set of predictors when modeling multiple effect sizes in meta-analysis. Illustrates the procedure using data from previous studies of the effectiveness of coaching on performance on the Scholastic Aptitude Test. (SLD)
Descriptors: Effect Size, Meta Analysis, Models, Multivariate Analysis
Peer reviewedRichards, Paul M.; Ruff, Ronald M. – Journal of Consulting and Clinical Psychology, 1989
Used various measures to examine neuropsychology of depression in terms of organic and motivational hypotheses among 30 medication-free depressed outpatients and 30 nondepressed controls. A 2 x 2 (diagnosis x motivational level) multivariate analysis revealed significant main effect for depression, but no effect for motivation and no interaction.…
Descriptors: Comparative Analysis, Depression (Psychology), Motivation, Multivariate Analysis
Peer reviewedElliott, Steven D. – Educational and Psychological Measurement, 1989
The method of unweighted means (MUM) was studied to determine Type I error rates associated with various degrees of imbalance among the cell frequencies. Conditions under which the MUM is a reasonable alternative to the least squares method are discussed, and the issue of power is considered. (SLD)
Descriptors: Analysis of Variance, Least Squares Statistics, Multivariate Analysis, Statistical Analysis
Peer reviewedLee, Sik-Yum; And Others – Psychometrika, 1989
The frequencies of "m" independent "p-way" contingency tables are analyzed by a model that assumes that the ordinal category data in each of "m" groups are generated from a latent continuous multivariate normal distribution. The model permits analysis of several groups of individuals simultaneously. (TJH)
Descriptors: Algorithms, Equations (Mathematics), Mathematical Models, Multivariate Analysis
Computational Formulas for Multivariate Strength of Association from Approximate "F" and "X2" Tests.
Peer reviewedHaase, Richard F. – Multivariate Behavioral Research, 1991
Computational formulas are developed for recovering measures of strength of association from approximate "F" tests and chi-square tests associated with four multivariate test statistics. The four statistics include Wilke's Lambda; Pillai's Trace "V"; Hotelling's Trace "T"; and Roy's greatest characteristic root…
Descriptors: Chi Square, Estimation (Mathematics), Mathematical Formulas, Mathematical Models
Peer reviewedMa, Xin; Bateson, David J. – Journal of Environmental Education, 1999
Studies attitudinal measures of science and the environment from the 1991 British Columbia Assessment of Science (BCAS). Examines the correlation of attitude toward science and attitude toward the environment. (Author/CCM)
Descriptors: Elementary Secondary Education, Environment, Multivariate Analysis, Science Education
Peer reviewedSeltzer, Michael H.; And Others – Journal of Educational and Behavioral Statistics, 1996
The Gibbs sampling algorithms presented by M. H. Seltzer (1993) are fully generalized to a broad range of settings in which vectors of random regression parameters in the hierarchical model are assumed multivariate normally or multivariate "t" distributed across groups. The use of a fully Bayesian approach is discussed. (SLD)
Descriptors: Algorithms, Bayesian Statistics, Estimation (Mathematics), Multivariate Analysis
Peer reviewedChan, David; Ramey, Sharon; Ramey, Craig; Schmitt, Neal – Multivariate Behavioral Research, 2000
Used multivariate latent growth modeling to conceptualize and analyze intra-individual changes in children's social skills and intraindividual differences in these changes in home and school settings for 378 children from kindergarten to grade 3. Results suggest that the nature of the intraindividual change in children's social skills may be…
Descriptors: Child Development, Context Effect, Interpersonal Competence, Multivariate Analysis
Peer reviewedPankratz, Melinda M.; Hallfors, Denise D. – Journal of School Health, 2004
The Safe and Drug-Free Schools and Communities Act (SDFSCA) provides funding for prevention education to nearly every school district in the nation. Recent federal policy requires SDFSCA recipients to implement evidence-based prevention programs. This paper reports the extent to which North Carolina public school districts implement evidence-based…
Descriptors: Prevention, Coordinators, School Districts, Public Schools
Hussey, Jon M.; Marshall, Jane Marie; English, Diana J.; Knight, Elizabeth Dawes; Lau, Anna S.; Dubowitz, Howard; Kotch, Jonathan B. – Child Abuse and Neglect: The International Journal, 2005
Objective: To examine whether children with substantiated maltreatment reports between 4 and 8 years of age differ from children with unsubstantiated reports on any of 10 behavioral and developmental outcomes. Method: Longitudinal data from 806 children and their adult caregivers collected in four US study sites were pooled and analyzed using…
Descriptors: Regression (Statistics), Probability, Caregivers, Social Services
Tonidandel, Scott; Overall, John E. – Psychological Methods, 2004
A split-sample replication criterion originally proposed by J. E. Overall and K. N. Magee (1992) as a stopping rule for hierarchical cluster analysis is applied to multiple data sets generated by sampling with replacement from an original simulated primary data set. An investigation of the validity of this bootstrap procedure was undertaken using…
Descriptors: Computer Software, Sampling, Multivariate Analysis, Computation

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