THE TENDENCY FOR YOUNG AMERICANS TO ACHIEVE INDEPENDENCE, COMBINED WITH THE LONG-ESTABLISHED TREND OF RURAL-TO-URBAN MIGRATION, PROVIDES A BASE FOR THE MIGRATION OF RURAL YOUTH. THE BASE IS BROADENED BY THE PROCESSES OF CHANGE WHICH HAVE MADE THIS COUNTRY INCREASINGLY URBAN. THERE ARE FOUR FACTORS INVOLVED IN THE MIGRATION OF RURAL YOUTH TO CITIES…

This report presents the results of correlational and factorial analyses of items from the twelfth-grade student questionnaire of the Educational Opportunities Survey. The correlational analyses were conducted to document the inter-relationships among the items and to serve as a basis for the factor analyses. The factor analyses were conducted in…

The present investigation involves 600 personality questionnaire items. The 300 Guilford items comprise 78 marker clusters for 15 Guilford factors; the 300 Cattell items represent marker items for 17 Cattell factors. The study involved two major analyses. In the first, the 600 x 600 matrix was factor analyzed by the Principal Factor Method,…

Procrustean analysis is a form of factor analysis where a target matrix of results is specified and then approximated. Procrustean analysis is extended here to the case where matrices have different row order. (Author/JKS)

Two measures of the number of factors that a variable should load on are discussed. One is Kaiser's simplicity index, the other is called a complexity index, developed by the author. Similarities and differences are discussed. (JKS)

Component analysis provides an attractive alternative to factor analysis, since component scores are easily determined while factor scores can only be estimated. The correct method of determining component scores is presented as well as several illustrations of how commonly used incorrect methods distort the meaning of the component solution. (RC)

The best strategy for personality scale construction may be a utilitarian concept rather than a psychometric one. Some specific suggestions are given. (Author/JKS)

The use of partial correlation methodology to control trait variance such as intelligence is criticized. Factor analysis is presented as the only methodology that can be used objectively and effectively with fallible measures to control trait variance. An example is presented. (Author/JKS)

Necessary and sufficient conditions for rotating matrices to maximal agreement in the least-squares sense are discussed. A theorem which solves the case of two matrices is given a more straightforward proof. Other considerations in rotating matrices are discussed. (Author/JKS)

Manipulation of speed of delivery and linguistic context followed by factor analysis of 11 measures of lingual activity involved in the production of the syllable /ka/ indicated three factors explained 75 percent of the variance: displacement/velocity, duration, and midsyllable duration and distance. (Author/DB)

A new algorithm to obtain the least squares solution in common factor analysis is presented. It is based on the up-and-down Marquadt algorithm developed by the present authors. Experiments in the use of the algorithm under various conditions are discussed. (Author/JKS)