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2 results

Testing the Significance of the Successive Components in Redundancy Analysis
Aziz Lazraq, Robert Cléroux
Journal:

Psychometrika / Volume 67 / Issue 3 / September 2002

Published online by Cambridge University Press:

01 January 2025, pp. 411-419
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In this paper we study the interrelationships between two sets of data measured on the same subjects via redundancy analysis. We consider redundancy analysis from an inferential point of view. Under the hypothesis of multinormality, tests of significance are obtained for each successive redundancy component so that only the significant factors are retained for prediction purposes. An example illustrates the method.

A Test of the Hypothesis that Cronbach's Alpha Reliability Coefficient is the Same for Two Tests Administered to the Same Sample
Leonard S. Feldt
Journal:

Psychometrika / Volume 45 / Issue 1 / March 1980

Published online by Cambridge University Press:

01 January 2025, pp. 99-105
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In measurement studies the researcher may wish to test the hypothesis that Cronbach’s alpha reliability coefficient is the same for two measurement procedures. A statistical test exists for independent samples of subjects. In this paper three procedures are developed for the situation in which the coefficients are determined from the same sample. All three procedures are computationally simple and give tight control of Type I error when the sample size is 50 or greater.

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