A Comparison of Sample Correlation Matrices and a Multivariate Analysis of Job Concepts of Selected Industrial Executive Groups |
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Page 4
Norman Burleigh Rushforth. To test the equality of m correlation matrices based on p variables , a statistic B was ... equal correlations , a logarithmic function of B was shown to be asymptotically distributed as a chi square variable ...
Norman Burleigh Rushforth. To test the equality of m correlation matrices based on p variables , a statistic B was ... equal correlations , a logarithmic function of B was shown to be asymptotically distributed as a chi square variable ...
Page 31
... matrices using an electronic computer . The resulting principal component ... equal . On the basis of these facts , together with the original assumptions concerning the sematic space , it was decided to obtain an overall pooled matrix . Thus ...
... matrices using an electronic computer . The resulting principal component ... equal . On the basis of these facts , together with the original assumptions concerning the sematic space , it was decided to obtain an overall pooled matrix . Thus ...
Page 63
... equal sample sizes for m populations , explicit determination of from the poly- nomial equation c m ( 1 - 63 ) mp Σ = 0 j = 1 ( 1 - pr j is not ... matrices 63 Proposal of the B Statistic for Testing the Equality of Correlation Matrices •
... equal sample sizes for m populations , explicit determination of from the poly- nomial equation c m ( 1 - 63 ) mp Σ = 0 j = 1 ( 1 - pr j is not ... matrices 63 Proposal of the B Statistic for Testing the Equality of Correlation Matrices •
Contents
CHAPTER | 6 |
Questionnaire | 9 |
Questions and Hypotheses Posed at the Outset of | 12 |
6 other sections not shown
Common terms and phrases
Accountant Production Engineering analysis of variance asymptotically distributed axes bivariate cent level characteristic vectors component scores component vectors computed concept Industrial Executive converges in probability correlation coefficients covariance matrix defined degrees of freedom different executive groups distance measurements Engineering Executive equal correlation matrices equality of correlation evaluation factor analysis given group of executives IE Pr interaction effect intercorrelation matrix investigated j-th job concept space job concepts rated lemma MEANS FOR COMPONENT Multiple Regression Multiple Regression Analysis N₂ null hypothesis obtained original scale values orthogonal Osgood Personnel Executives Personnel Sales Accountant pilot study Pooled Executive population correlation principal component analysis Production Executive quadratic form quantifiable problems quantity rater groups Regression Analysis SALES ACCOUNTING PRODUCTION sample correlation matrices semantic space square variable statistic for testing TABLE testing the equality testing the hypothesis theorem twenty-five scales uncorrelated Y₁ z transformed