It is shown that if a behavior domain can be described by the common factor model with a finite number of factors, the squared correlation between the sum of a selection of items and the domain total score is actually greater than coefficient alpha. (Author/JKS)

Examples of successful communication technology projects are used to identify factors in planning and implementation which influenced the outcomes of those projects, and to determine which values were operating in the evaluator's criteria of success. (JEG)

A computational algorithm, called the orthotran solution, is developed for determining oblique factor analytic solutions utilizing orthogonal transformation matrices. Selected results from illustrative studies are provided. (Author/JKS)

The author develops a statistical model of public expenditures on higher education in Kansas and tests the model to ascertain if the Kansas state appropriations are associated with factors identified as affecting the demand for college education. (MJB)

A component method is presented for maximizing estimates of a statistical procedure called redundancy analysis. Relationships of redundancy analysis to multiple correlation and principal component analysis are pointed out. An elaborate example comparing canonical correlation analysis and redundancy analysis on artificial data is presented.…

The Personal Development Study (PDS) is one of the eight subtests of the Integration Level Test Series, which objectively measures different hierarchical levels of factors that organize the integration of psychological states. The PDS consists of a 200-item questionnaire devised to discover whether Freudian mechanisms were operating across a wide…

A factor analysis was performed on the behavioral items of the Brazelton Neonatal Assessment Scale for an urban population of 328 newborns. (Author/JMB)

This study examined the scalability and structural unity of comprehension of ideas from eight positions in the sequential model detailing changes in college students' views of knowledge and authority. (Author/JMB)

First- and second-order factor analyses were conducted, using the LISREL model, on correlation matrices among item parcels of verbal items of the Scholastic Aptitude Test. Focus was on determining whether statistical dependence among item scores can be explained by a single ability dimension. Results suggest future research possibilities related…

Demonstrates the value of spreadsheets for teaching sociology using Lotus 1 2 3 as an example. Shows how a Cholesky factorization, an eigenstructure solution, a correlation analysis, and a discriminant analysis may be performed using a spreadsheet or a BASIC program (included). (BSR)

Explains factor analysis, discussing its relation to other multivariate techniques and describing characteristics of the data to consider in determining the appropriateness of factor analysis. Reviews considerations in making decisions about communality estimates, factor extraction, the number of factors to rotate, methods of factor rotation,…

A factor replication procedure (FACTOREP) was evaluated using four psychometrically equivalent synthetic correlation matrices containing an imposed three-subscale structure. Comparisons of the structure revealed by two, three, four, and nine-factor rotations using the FACTOREP showed that only the three factor solutions were replicable across all…

Analyzed choices made by researchers concerning factor model, retention criteria, rotation, interpretation of factors and other issues relevant to factor analysis. Results indicate that choices made by researchers have generally been poor and that reporting practices have not allowed for informed review, cumulation of results, or replicability.…

The factor structure of the Revised-Children's Manifest Anxiety Scale was investigated for a sample of 106 children attending public school classes for the learning disabled. Strong support was found for the existence of three original subscale factors and the General Anxiety factor for the LD children. (Author/CL)

A generalized congruence maximization procedure for the case of m matrices is presented. The orthogonal rotation procedure simultaneously maximizes the sums of all coefficients of congruence between corresponding factors of m factor matrices. (NSF)