The question as to which structural equation model should be selected when multitrait-multimethod (MTMM) data are analyzed is of interest to many researchers. In the past, attempts to find a well-fitting model have often been data-driven and highly arbitrary. In the present article, the authors argue that the measurement design (type of methods…

This article introduces a bootstrap generalization to the Modified Parallel Analysis (MPA) method of test dimensionality assessment using factor analysis. This methodology, based on the use of Marginal Maximum Likelihood nonlinear factor analysis, provides for the calculation of a test statistic based on a parametric bootstrap using the MPA…

Several important issues related to canonical correlation have been recognized and resolved during the last several years. The purpose of this presentation is to offer an organized, comprehensive, and current annotated bibliography of the many recent developments and extensions of canonical methods. The bibliography does not emphasize references…

Examines the psychometric properties of two procedures for reducing data from the Brazelton Neonatal Behavioral Assessment Scale: factor and cluster analysis. The sample consisted of 85 male and 77 female newborns. (RH)

Addresses common pitfalls in homogeneous scale construction in clinical and social psychology. Offers suggestions about item writing, answer scale formats, data analysis procedures, and overall scale development strategy. Emphasizes effective use of factor-analytic methods to select items for scales and to determine its proper location in…

The validity of a comparison of mean test scores for two groups and of a longitudinal comparison of means within each group is assessed. Using LISREL, factor analyses are used to test the hypotheses of similar factor patterns, equal units of measurement, and equal measurement accuracy between groups and across time. (Author/DWH)

This study describes one type of analysis used to gather data on attitudinal climate in elementary schools. The Quality of School Life Scale (QSL) was administered to 142 4th, 5th, and 6th grade students in one southwestern elementary school. Responses to the QSL were analyzed using statistical and nonstatistical techniques. The data results are…

This document investigates the widely used school climate assessment instrument, the CFK Ltd. School Climate Profile. Part A (General School Climate Factors) was administered by school to a junior high campus (n=257) and a high school campus (n=906) in a major metropolitan area in the Southwestern United States to gather data for administrative…

This article suggests the use of structural equation modeling in special education research, to analyze multivariate data from both nonexperimental and experimental research. It combines a structural model linking latent variables and a measurement model linking observed variables with latent variables. (Author/DB)

A technique for detecting item bias that is responsive to attitudinal measurement considerations is a maximum likelihood factor analysis procedure comparing multivariate factor structures across various subpopulations, often referred to as SIFASP. The SIFASP technique allows for factorial model comparisons in the testing of various hypotheses…

Addresses applications of the coefficient of variation as a measure of educational inequality or as a means of measuring changes of inequality status. Suggests the Gini coefficient has many advantages over the coefficient of variation since it can be used with the Lorenz curve (Lorenz provides detail Gini omits). (BRR)

The general goal of this paper is to help researchers conduct appropriately designed goodness of fit studies for item response model applications. The specific purposes are to describe: (1) an up-to-date set of promising and useful methods for addressing a variety of goodness of fit questions; and (2) current research studies to advance this set…