Multidimensionality and hierarchical data structure are common in assessment data. These design features, if not accounted for, can threaten the validity of the results and inferences generated from factor analysis, a method frequently employed to assess test dimensionality. In this article, we describe and demonstrate the application of the…

National and international rankings of universities are now an accepted part of the higher education landscape. Rankings aggregate different performance measures into a single scale and therefore depend on the methods and weights used to aggregate. The most common method is to scale each variable relative to the highest performing entity prior to…

Recommender systems are becoming an increasingly important research area due to the growing demand for personalized recommendations. The volume of information available to each user and the number of products carried in e-commerce marketplaces have grown tremendously. Thus, recommender systems are needed to help individual users find the most…

This study examined the relationship between students' self-reported high school grade point average (HSGPA) from the SAT Questionnaire and their HSGPA provided by the colleges and universities they attend. The purpose of this research was to offer updated information on the relatedness of self-reported (by the student) and school-reported (by the…

Generalizations of the G index as a measure of similarity between persons beyond the dichotomous situation are discussed. An attempt is made to present a generalization that does not require dichotomization of the items for cases where the number of response alternatives may differ. (Author/JKS)

Statistical methods are presented to facilitate a more complete analysis of results obtained when a scaling model is applied to data from two or more groups. Various kinds of scaling models are considered here in the multiple-group context. (Author/LMO)

Contains a solution for the multidimensional scaling of pairwise choice when individuals are represented as dimensional weights. The analysis supplies an exact least squares solution and estimates of group unscalability parameters. (DG)

In this paper I describe and illustrate the Roussos-Stout (1996) multidimensionality-based DIF analysis paradigm, with emphasis on its implication for the selection of a matching and studied subtest for DIF analyses. Standard DIF practice encourages an exploratory search for matching subtest items based on purely statistical criteria, such as a…

Outlines the general techniques of Guttman scale analysis and briefly describes its uses in social science research. To illustrate the potential application to library science, a Guttman scale of restrictiveness in dealing with overdue books is developed and data from a 1986 survey of public libraries are fitted into the scale. (23 references)…

Two forms of the Minnesota Importance Questionnaire (MIQ), the multiple rank order form and the paired comparison form, were compared in terms of psychometric characteristics and user reactions. The MIQ forms were randomly administered to 290 subjects on two different occasions resulting in a complete crossing of order-by-form. The results of…

The purpose of this study was to develop and field test a needs assessment procedure based on magnitude estimation scaling. The goal was to provide ratio scale expressions of the relative importance of school objectives by pertinent subsets and the total sample of school patrons. A patron-assembled set of 40 goals was evaluated by 132 fathers and…

Given "T" joint observations on "K" variables, it is frequently useful to consider the weighted average or scaled score. L-scaling is introduced as a technique for determining the weights. The technique is so named because of its resemblance to the Leontief matrix of mathematical economics. L-scaling is compared to two…

The concept of scaled achievement tests is discussed and a method of selecting those items of a test that form the most scalable (i.e., having the highest coefficient of reproducibility) subset is presented. Sometimes called a monotonic-deterministic model, this type of test assumes that the test items may be sequentially ordered. To determine the…

A copy of the computer program, which determines the transformation matrix used to rotate the configuration, the dilation factor, and the translation vector, is available from the first author. (CB)

A detailed description is provided of the variable belief in individual differences (INDIV), which is part of the analysis in phase I of the Evaluation of Practices in Individualized Schooling. The variable is defined; the questionnaires on which the variable is based are listed; the procedures used to scale the variable are explained; the…