The present guide provides a practical guide to conducting latent profile analysis (LPA) in the Mplus software system. This guide is intended for researchers familiar with some latent variable modeling but not LPA specifically. A general procedure for conducting LPA is provided in six steps: (a) data inspection, (b) iterative evaluation of models,…

The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.

With the passage of the 2015 Every Student Succeeds Act (ESSA), states were required to add a fifth indicator on "School Quality or Student Success" (SQSS) to their school accountability systems. An analysis of submitted ESSA state plans found that 13 states included measures of school climate as their SQSS indicator or incorporated…

Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…

Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…

Colleges and universities in the United States are being challenged to assess student outcomes and the quality of programs and services. One of the more widely used sources of evidence is student engagement as measured by a cluster of student engagement surveys administered by the Center for Postsecondary Research at Indiana University. They…

In this paper, two beginning qualitative researchers describe the challenges and successes of conducting a collaborative self-study. For two academic years, the authors wrote and analyzed personal narratives related to their experiences as a lesbian and a gay man, respectively, in educational contexts. This article addresses the data analysis…

This article presents a technique that will help teachers, researchers, and other people who use the linear regression models, especially those in education and social sciences, to understand and interpret the residuals graphics better.

Discussion of the methods of meta-analysis first identifies problems associated with research integration, the limitations of traditional review techniques, and the advantages of quantitative methods. Meta-analytic procedures are described with respect to how they parallel classical scientific method, including problem formulation, sampling,…

Discusses use of computer simulation as an archeological tool for research and teaching involving the remains of prehistoric game animals to aid in understanding effects of various strategies of prehistoric hunters on populations of game animals. A simulation involving possible vicuna hunting strategies is described. (MBR)

In response to the current intensified public interest in education, some professional organizations have undertaken to draft public policy responses. These responses are constrained by a variety of issues. When practitioner task forces analyze policy under time constraints, they face issues in policy definition, and the definition used affects…

Assesses the progress made in computational stylistics over the past 25 years. Discusses theoretical notions of style. Describes certain trends that emerge from relevant articles in conference proceedings and academic journals. Concludes there has been progress in the accumulation of data, the creation of databases and archives, and construction…

Describes three classes of measurement techniques: (1) interviewing methods; (2) record retrieval procedures; and (3) observation methods. Discusses primary reasons for measurement error. Concludes that, although measurement error can be defined and controlled for, there are other design factors that also must be considered. (CFR)

Asserts that policymakers and the general public should be well informed about economic and social issues. Contends that a statistical system in a democracy has a heavy responsibility to ensure that the data represent fact, not opinion. Discusses changes made in the Consumer Price Index to prevent it from becoming politicized. (CFR)

Contends that the high quality of the probability sampling used by the International Association for the Evaluation of Educational Achievement (IEA) is due, in large part, to procedures developed by IEA's first statistical consultant, Gilbert Peaker. Concludes that the Peaker process is a first-class sample design. (CFR)