Six measures of children's verbal skills were found to have internal consistency, and interjudge and test-retest reliability. (MH)

The way an individual forms a mental concept of an object is explored. (CK)

Discusses articles by Richard Rystrom in the Winter and Spring 1970 issues of the Journal of Reading Behavior. Questions the validation procedures and statistical evidence behind the author's model of reading comprehension. Tables and bibliography. (RW)

Refutes the questions raised by Tuinman and Blanton in this issue concerning his reading comprehension model and its validation. Restates his purpose for examining this area of reading. Tables and bibliography. (RW)

Reports the results of research which tested the applicability of the McKenney-Keen Model of Cognitive Style to the information gathering behavior of information professionals. Factor analysis techniques used to analyze the results are described. Four tables, two figures, and a 13-item reference list accompany the text. (Author/JL)

Many models have been proposed for examining factors from several batteries of tests. A model for such an analysis is presented which allows for maintaining the distinction among batteries. A discussion of the computational procedures is given, and examples are provided. (Author/JKS)

A confirmatory factor analysis provided support for the result that Holland's Self-Directed Search measures six factors: realistic, investigative, artistic, social-enterprising, conventional, and a sixth general interest factor. Generally, the psychological relationship among types confirms the hexagon model proposed by Holland and others.…

Educational changes included: (1) expansion of preschool facilities; (2) increased involvement of students in secondary education and in tertiary education; and (3) marked fluctuation in both the economic status of teachers and financial involvement of the aggregate of six state governments in education. (RL)

Mathematical and statistical relationships between factor analysis and smallest space analysis are discussed. As spatial analysis of correlation matrices, factor analysis is a special case of smallest space analysis. The two differ in six ways: Shepard diagram, dimensionality, correction for communality, similarity coefficients, regions versus…

Issues related to the decision of the number of factors to retain in factor analyses are identified. Three widely used decision rules--the Kaiser-Guttman (eigenvalue greater than one), scree, and likelihood ratio tests--are investigated using simulated data. Recommendations for use are made. (Author/JKS)