The purpose of this study was to determine which of six methods of ordering variables in a discriminant analysis yields subsets of variables that have the greatest discriminatory power. One method is based on univariate mean-square (or F) ratios, a second method on stepwise ordering, two methods on linear discriminant function (LDF) variable…

Propensity score analysis is a relatively recent statistical innovation that is useful in the analysis of data from quasi-experiments. The goal of propensity score analysis is to balance two non-equivalent groups on observed covariates to get more accurate estimates of the effects of a treatment on which the two groups differ. This article…

The mathematical models of intonation used in speech technology are often inaccessible to linguists. By the same token, phonological descriptions of intonation are rarely used by speech technologists, as they cannot be implemented directly in applications. Consequently, these research communities do not benefit much from each other's insights. In…

The aim of this study was to compare the effect of the delivery of the same amount of intermittent versus continuous physiotherapy given to children with cerebral palsy (CP). This was organized either in an intermittent regime four times a week for 4 weeks alternating with a 6-week treatment pause, or a continuous once or twice a week regime, both…

Programs supported by the Carl D. Perkins Act of 2006 are required to operate under the state or national content standards, and are expected to carry out evaluation procedures that address accountability. The Indiana high school course, "Advanced Life Science: Foods" ("ALS: Foods") operates under the auspices of the Perkins…

The technique presented accomodates multiple populations and a mixture of variable types. It is based on the linear discriminant function and the sequential concept. Also presented is an example in which the technique is used to obtain the classification rule to predict the career choices of individuals based upon a mixture of variable types.…

The classification of data generated by empirical research is presented as an important but generally neglected problem facing contemporary psychology. It is concluded that formal classification can facilitate conceptual developments. (Author)

Describes a study that developed a syllable rank order list and attempted to answer such questions as "What is the most common syllable? and "What is the next most common syllable?" (HOD)

The taxometric method is an increasingly popular statistical approach that tests whether the structure of a latent construct is categorical or continuous. This article presents the key conceptual and methodological issues that should be addressed in an informative taxometric investigation. We aim to help potential users of taxometrics determine:…

Introduction: The Accreditation Council for Continuing Medical Education (ACCME) provides guidelines for continuing medical education (CME) materials to mitigate problems in the independence or validity of content in certified activities; however, the process of peer review of materials appears largely unstudied and the reproducibility of…

The purpose of this study was to investigate, analyze, and document the differences in school, teacher, and student-level factors as perceived by administrators and teachers in high and low-performing, high-needs secondary schools in the Delta region of Mississippi. A modified version of Marzano's (2003) "What Works in Schools" survey…

Latent class analysis (LCA) has been successfully applied to tasks measuring higher cognitive functioning, suggesting the existence of distinct strategies used in such tasks. With LCA it became possible to classify post hoc. This important step forward in modeling and analyzing cognitive strategies is relevant to the overlapping waves model for…

This paper presents the findings from a survey of marketing research faculty. The study finds SPSS is the most used statistical software, that cross tabulation, single, independent, and dependent t-tests, and ANOVA are among the most important statistical tools according to respondents. Bivariate and multiple regression are also considered…

Modal Profile Analysis (MPA) is a Fortran IV program for the identification and cross validation of relatively homogenous subgroups within a dimensional or ordination space. This classification approach is designed for use with several samples in a multiple replication design. The program consists of three stages: (1) identification of preliminary…