Developmental scientists are often interested in subgroups of people who share commonalities in aspects of development; these subgroups often cannot be captured directly but instead must be inferred from other information. Mixture models can be used in these situations. Two specific types of mixture models, latent profile transition analyses and…

The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…

Teachers who work with students who display challenging behaviors need to implement interventions to support them in the classroom. A daily behavior report card (DBRC) is one intervention that research suggests can reduce challenging behaviors and replace them with more socially appropriate behaviors. With step-by-step instructions, this column…

A guide for professional counselors and counseling researchers for calculating and interpreting Percent Improvement as an indicator of clinical significance is provided. Strategies for reporting findings are described and illustrated. Guidelines for contextualizing discussions of clinical significance within the boundaries of psychometric evidence…

This paper provides practical guidance for scholars and practitioners looking to develop more rigorous, comprehensive, and inclusive research that could guide proactive efforts to improve access, experiences, and outcomes for college students with disabilities. To do so, we (a) identify critical challenges affecting research and assessment related…

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…

Topological data analysis (TDA) is a collection of powerful tools that can quantify shape and structure in data in order to answer questions from the data's domain. This is done by representing some aspect of the structure of the data in a simplified topological signature. In this article, we introduce two of the most commonly used topological…

Research focusing on school climate has shown that healthy, safe, and positive school environments are associated with improved psychological, social, behavioral, and academic outcomes for secondary students. For this reason, it is important for schools to understand how to improve perceptions of school climate through effective, evidence-based…

It is essential for middle school leaders to develop and promote school-wide literacy models, organizational structures that have a significant impact on the learning environment for all students in their building. However, school-wide literacy models can be difficult to implement and sustain over time. Drawing from an Office of Special Education…

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.

Short comparative interrupted times series (CITS) designs are increasingly being used in education research to assess the effectiveness of school-level interventions. These designs can be implemented relatively inexpensively, often drawing on publicly available data on aggregate school performance. However, the validity of this approach hinges on…

This article provides a list of low and no tuition independent schools. Profile information is accurate as of May 2016. Profiles contain student body information, how the school works, the school mission, and contact information. [Online Feature]

This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…

This article is an outgrowth of the evaluation and assessment process in a large interdisciplinary studies (IDS) program at West Virginia University. We argue for the importance of collecting and assessing quantitative and qualitative data concerning learning outcomes, student satisfaction, career choice and development, and graduate education…

Embarking in an educational research paper is one of the daunting processes any scholar can go through. And the process is even harder for novice education students who wander through the plethora of terminology, styles and paradigms trying to figure out their way in that jungle called educational research. The following of the review presents the…