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Krishnamoorthy, K.; Xia, Yanping – Multivariate Behavioral Research, 2008
The problems of hypothesis testing and interval estimation of the squared multiple correlation coefficient of a multivariate normal distribution are considered. It is shown that available one-sided tests are uniformly most powerful, and the one-sided confidence intervals are uniformly most accurate. An exact method of calculating sample size to…
Descriptors: Statistical Analysis, Intervals, Sample Size, Testing
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Preacher, Kristopher J.; Rucker, Derek D.; Hayes, Andrew F. – Multivariate Behavioral Research, 2007
This article provides researchers with a guide to properly construe and conduct analyses of conditional indirect effects, commonly known as moderated mediation effects. We disentangle conflicting definitions of moderated mediation and describe approaches for estimating and testing a variety of hypotheses involving conditional indirect effects. We…
Descriptors: Teaching Methods, Student Interests, Researchers, Intervals
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Overall, John E. – Multivariate Behavioral Research, 1974
Described is a method for obtaining an oblique simple structure in which primary axes are principal axes of homogeneous subsets of test variables. Examples of its application in R and Q-type analyses are presented. (Author)
Descriptors: Cluster Analysis, Factor Analysis, Factor Structure, Hypothesis Testing
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Miller, John K. – Multivariate Behavioral Research, 1975
Descriptors: Correlation, Goodness of Fit, Hypothesis Testing, Matrices
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Bauer, Daniel J.; Curran, Patrick J. – Multivariate Behavioral Research, 2005
Many important research hypotheses concern conditional relations in which the effect of one predictor varies with the value of another. Such relations are commonly evaluated as multiplicative interactions and can be tested in both fixed-and random-effects regression. Often, these interactive effects must be further probed to fully explicate the…
Descriptors: Research Methodology, Predictor Variables, Hypothesis Testing, Methods Research