Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…

Research has shown that mathematical proficiency gaps are related to students' and schools' indicators of poverty, with fewer studies on neighborhood effects on achievement gaps. Although this literature has accounted for students' nesting within schools, so far, methodological constraints have not allowed researchers to formally account for…

The purpose of this article is to inform researchers about and encourage the use of longitudinal designs to further understanding of human resource development and organizational theory. This article presents information about a variety of longitudinal research designs, related statistical procedures, and an overview of general data collecting…

The goal of this paper is to provide guidance for applied education researchers in using multi-level data to study the effects of interventions implemented at the school level. Two primary approaches are currently employed in observational studies of the effect of school-level interventions. One approach employs intact school matching: matching…

The authors consider the problem of classifying an unknown observation into 1 of several populations by using tree-structured allocation rules. Although many parametric classification procedures are robust to certain assumption violations, there is need for classification procedures that can be used regardless of the group-conditional…

This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…

Analyzes changing information values of journal article titles (measured by counting total number of words, number of keywords, and computing proportion of substantive words). Use of linear regression to determine change patterns for sample of titles from four selected journals, six library journals, and six miscellaneous journals (1951-1980) is…

This paper presents a promising new item bias detection technique that derives practical appeal from its simplicity and economy, and provides data relating to the method's consistency across samples. The proposed regression on item characteristics (RIC) method is a straightforward and inexpensive approach to the study of item bias, based on…

Offers an improvement over the least-square method that is particularly applicable to fitting the Beer-Lambert equation. Provides typical data and the corresponding graphs. Lists six references. (YP)

In order to examine the possible effects of violation of assumptions using parametric procedures, this study is an exploratory investigation into the use of parametric versus nonparametric procedures using a multiple case study design. The case study investigation guidelines outlined by Yin served as the methodology. The following univariate…

Describes a computerized system which presents objective test items to students, and upon question completion, provides immediate feedback with correct answers and explanations. Use of the system by pharmacology students and an analysis of end-of-year examination results are presented. (Author/MBR)

This paper discussed methods currently under study for use with multiple-response data. Besides using Bonferroni inequality methods to control type one error rate over a set of inferences involving multiple response data, a recently proposed methodology of plotting the p-values resulting from multiple significance tests was explored. Proficiency…