Descriptor
Source
| Psychometrika | 7 |
Author
| Berenson, Mark L. | 1 |
| Gower, J. C. | 1 |
| Mendoza, Jorge L. | 1 |
| Meredith, William | 1 |
| Rindskopf, David | 1 |
| Takane, Yoshio | 1 |
| Thomas, D. Roland | 1 |
| Tisak, John | 1 |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 6 |
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Peer reviewedMendoza, Jorge L. – Psychometrika, 1980
The paper obtains a maximum likelihood criterion test for multisample sphericity. The test contains Mauchly's sphericity test as a special case. (Author)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing
Peer reviewedBerenson, Mark L. – Psychometrika, 1982
The statistical power of nine k-sample tests against ordered location alternatives under completely randomized designs are investigated. The results are intended to aid researchers in selecting appropriate statistical procedures. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design
Peer reviewedRindskopf, David – Psychometrika, 1983
Current computer programs for analyzing linear structural models will apparently handle only two types of constraints: fixed parameter and equal parameters. In this paper, a method for imposing several types of inequality of parameter constraints is described. Several examples are presented. (Author/JKS)
Descriptors: Analysis of Variance, Computer Programs, Data Analysis, Mathematical Models
Peer reviewedThomas, D. Roland – Psychometrika, 1983
Repeated measures designs have traditionally been analyzed by the univariate mixed model approach, in which the repeated measures effect is tested against an error term based on the subject by treatment interaction. This paper considers an extension of this analysis to designs in which the individual repeated measures are multivariate. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Multivariate Analysis
Peer reviewedTakane, Yoshio – Psychometrika, 1982
A maximum likelihood estimation procedure was developed to fit weighted and unweighted additive models of conjoint data obtained by categorical rating, paired comparisons or directional ranking methods. Practical uses of the procedure are presented to demonstrate various advantages of the procedure as a statistical method. (Author/JKS)
Descriptors: Analysis of Variance, Computer Programs, Data Analysis, Maximum Likelihood Statistics
Peer reviewedMeredith, William; Tisak, John – Psychometrika, 1982
When measuring the same variables on different occasions, two procedures for canonical analysis with stationary compositing weights are developed. Both methods are extended to allow for cohort sequential designs and a numerical illustration is presented. (Author/JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Data Analysis
Peer reviewedGower, J. C. – Psychometrika, 1975
Concerned with another form of analysis of m sets of matrices, the Procrustes idea is generalized so that all m sets are simultaneously translated, rotated, reflected and scaled so that a goodness of fit criterion is optimised. A computational technique is given, results of which can be summarized in analysis of variance form. (RC)
Descriptors: Analysis of Variance, Data Analysis, Factor Analysis, Goodness of Fit


