Although it is sometimes claimed that Raven's Matrices provide an almost pure measure of g, there is evidence that the easier items in the Standard Progressive Matrices and in Set I of the Advanced Matrices measure a perceptual or Gestalt factor distinct from the more analytic items in the rest of the tests. There is also, however, both factor…

A rapid method for hierarchically clustering the n objects of a matrix which portrays the interrelation of every object to every other object, where n equals any number up to 1,000 and even larger, is developed and discussed. Results compare favorably with those from other excellent methods. (Author/BJG)

The article proposes an evaluation plan for gifted and talented programs that includes effective evaluation of program objectives as well as a matrix approach to assemble evaluation data. (CL)

This paper evaluated multidimensional linking procedures with which multidimensional test data from two separate calibrations were put on a common scale. Data were simulated with known ability distributions varying on two factors which made linking necessary: mean vector differences and variance-covariance (v-c) matrix differences. After the…

Meta-analytic structural equation modeling (MA-SEM) is increasingly being used to assess model-fit for variables' interrelations synthesized across studies. MA-SEM researchers have analyzed synthesized correlation matrices using structural equation modeling (SEM) estimation that is designed for covariance matrices. This can produce incorrect…

Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. Jennrich and Sampson (1966) solved a significant EFA factor loading matrix rotation problem by deriving the direct Quartimin rotation. Jennrich was also the first to develop standard errors for rotated solutions, although these have still not made…

Demonstrates use of a matrix weighing factors related to the attractiveness of a job and one's ability to perform it in order to evaluate potential job opportunities. Explains criteria for each factor and use of the matrix in career counseling. (SK)

Strategic planning is complex (Dodd, 2004), and when managed well, it requires deliberate incorporation of evidenced-based data and the collaboration of key stakeholders. Thus, it is essential that the planning process includes the integration of data that are collected regularly and that both internal and external professional partners have the…

Institutional modeling and program evaluation in relation to a correspondence program are discussed. The evaluation process is first considered from the viewpoint that it is an add-on activity, which is largely summative, and is the least desirable type of evaluation. Formative evaluation is next considered as a part of the process of institution…

Managers and program sponsors are often unaware of possible alternatives to costly training evaluation procedures and do not have criteria for selecting alternatives. What is needed is an understanding of the various levels of evaluating training programs, feasible alternatives, and decision criteria for choosing the right system. It is proposed…

This paper describes a variety of confirmatory factor analysis models that provide improved tests of multitrait-multimethod matrices, and compares three different approaches (the original Campbell-Fiske guidelines, an analysis of variance model, and confirmatory factor analysis models). (PN)

Several methods for the analysis of three-way data (data classified three ways) are described and shown to be variants of principal components analysis of the two-way supermatrix in which each two-way slice is strung out into a column vector. Direct fitting and fitting derived data are considered. (SLD)

In an effort to increase the quality and quantity of service-learning assessment, this article provides a brief rationale for engaging in service-learning assessment and reviews a selection of available tools for doing so. The paper includes a matrix that lists cognitive outcomes, including critical thinking and problem solving, and the…

Discusses level 3 evaluation from Donald Kirkpatrick's Four Level Evaluation Model (level: 1-reaction; 2-learning; 3-behavior; 4-results) to measure training program performance. Highlights include an evaluation planning matrix; increasing evaluation data accuracy and reliability; data collection method selection; designing data collection…

This article compares two methods for analyzing small sets of repeated measures data under normal and non-normal heteroscedastic conditions: a mixed model approach with the Kenward-Roger correction and a multivariate extension of the modified Brown-Forsythe (BF) test. These procedures differ in their assumptions about the covariance structure of…