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Van Landeghem, Georges; De Fraine, Bieke; Van Damme, Jan – Multivariate Behavioral Research, 2005
This short contribution is a comment on M. Moerbeek's exploration of consequences of ignoring a level of clustering in a multilevel model, which was published in the first issue of the 2004 volume of Multivariate Behavioral Research. After having recapitulated the framework and extended the results of Moerbeek's study, we formulate two critical…
Descriptors: Multivariate Analysis, Behavioral Science Research, Models, Research Methodology
Peer reviewedCramer, Elliot M. – Multivariate Behavioral Research, 1974
Descriptors: Correlation, Matrices, Multiple Regression Analysis, Multivariate Analysis
Peer reviewedKatz, Barry M.; McSweeney, Maryellen – Multivariate Behavioral Research, 1980
An explicit statement of a statistic which is a nonparametric analog to one-way MANOVA is presented. The statistic is a multivariate extension of the nonparametric Kruskal-Wallis test (1952). In addition two post hoc procedures are developed and compared. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Multivariate Analysis, Nonparametric Statistics
Peer reviewedMillsap, Roger E.; Meredith, William – Multivariate Behavioral Research, 1991
Mathematical relationships between three-mode component analysis and stationary component analysis are explored. Theorems are presented giving constraints that must be satisfied for equivalency between component representations provided by the methods. In general, the two approaches give mathematically distinct representations. (SLD)
Descriptors: Classification, Equations (Mathematics), Longitudinal Studies, Mathematical Models
Peer reviewedThomas, D. Roland – Multivariate Behavioral Research, 1992
The interpretation of discriminant functions as a follow-up to a significant multivariate analysis of variance is discussed. New indices are proposed that aid in identification and interpretation of the subset of response variables that contribute to a significant group discrimination. Their efficacy is compared to several commonly used…
Descriptors: Comparative Analysis, Equations (Mathematics), Mathematical Models, Multivariate Analysis
Peer reviewedFerrando, Pere J.; Lorenzo-Seva, Urbano – Multivariate Behavioral Research, 1999
Describes the implementation of a standard Pearson chi-square statistic to test the null hypothesis of bivariate normality for latent variables in the Type I censored model. Assesses the behavior of the statistic through simulation and illustrates the statistic through an empirical example. Discusses limitations of the test. (Author/SLD)
Descriptors: Chi Square, Evaluation Methods, Hypothesis Testing, Multivariate Analysis
Peer reviewedBarcikowski, Robert S.; Stevens, James P. – Multivariate Behavioral Research, 1975
Results showed that the canonical correlations are very stable upon replication. The results also indicated that there is no solid evidence for concluding that components are superior to the coefficients, at least not in terms of being more reliable. (Author/BJG)
Descriptors: Correlation, Factor Analysis, Matrices, Monte Carlo Methods
Peer reviewedMendoza, Jorge L.; And Others – Multivariate Behavioral Research, 1978
Four testing procedures for establishing the number of non-zero population roots in canonical analysis are investigated. Results of a Monte Carlo study indicate that three well-established procedures were effective, and a new procedure designed to correct a supposed flaw in the other procedures was ineffective. (JKS)
Descriptors: Correlation, Hypothesis Testing, Monte Carlo Methods, Multivariate Analysis
Peer reviewedBirenbaum, Menucha; Zak, Itai – Multivariate Behavioral Research, 1982
The theories of Kerlinger and Eysenck on the nature of the dimensions underlying social attitudes are discussed. Integrating principles from both theories, an alternative approach to the issue, is suggested and tested on the domain of attitudes toward education in relation to personality. (Author/JKS)
Descriptors: Attitudes, Comparative Analysis, Multivariate Analysis, Personality Theories
Peer reviewedCohen, Jacob – Multivariate Behavioral Research, 1982
Set correlation is a multivariate generalization of multiple regression/correlation analysis that features the employment of overall measures of association interpretable as proportions of variance and the use of set-partialled sets of variables. The statistical development of the theory and several examples are presented. (Author/JKS)
Descriptors: Correlation, Data Analysis, Multiple Regression Analysis, 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
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 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
Kowalchuk, Rhonda K.; Keselman, H. J.; Algina, James – Multivariate Behavioral Research, 2003
The Welch-James (WJ) and the Huynh Improved General Approximation (IGA) tests for interaction were examined with respect to Type I error in a between- by within-subjects repeated measures design when data were non-normal, non-spherical and heterogeneous, particularly when group sizes were unequal. The tests were computed with aligned ranks and…
Descriptors: Interaction, Least Squares Statistics, Multivariate Analysis, Robustness (Statistics)
Raykov, Tenko; Penev, Spiridon – Multivariate Behavioral Research, 2006
Unlike a substantial part of reliability literature in the past, this article is concerned with weighted combinations of a given set of congeneric measures with uncorrelated errors. The relationship between maximal coefficient alpha and maximal reliability for such composites is initially dealt with, and it is shown that the former is a lower…
Descriptors: Error of Measurement, Intervals, Reliability, Multivariate Analysis

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