Students' socioeconomic status (SES) is central to much research and policy deliberation on educational inequalities. However, the SES model is under severe stress for several reasons. SES is an ill-defined concept, unlike parental education or family income. SES measures are frequently based on proxy reports from students; these are generally…

Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…

Factor analysis is a versatile class of psychometric techniques used by researchers to provide insight into the psychological dimensions (factors) that may account for the relationships among variables in a given dataset. The primary goal of a factor analysis is to determine a more parsimonious set of variables (i.e., fewer than the number of…

In December 2021, the National Center for Special Education Research (NCSER) virtually convened a group of experts to discuss priorities for research and data collection on students with disabilities in postsecondary education. Invited experts represented advocates, educators, researchers, and disability service professionals. The discussion…

Discipline-based education researchers have a natural laboratory--classrooms, programs, colleges, and universities. Studies that administer treatments to multiple sections, in multiple years, or at multiple institutions are particularly compelling for two reasons: first, the sample sizes increase, and second, the implementation of the treatments…

The purpose of this article is to describe effect coding as an alternative quantitative practice for analyzing and interpreting categorical, race-based independent variables in higher education research. Unlike indicator (dummy) codes that imply that one group will be a reference group, effect codes use average responses as a means for…

The central roles of science in the field of remedial and special education are to (a) identify basic laws of nature and (b) apply those laws in the design of practices that achieve socially valued outcomes. The scientific process is designed to allow demonstration of specific (typically positive) outcomes, and to assist in the attribution of…

The purpose of this paper is to describe best practices in designing and implementing strong quasi-experimental designs (QED) when assessing the effectiveness of policies, programs or practices. The paper first discusses the issues researchers face when choosing to conduct a QED, as opposed to a more rigorous randomized controlled trial design.…

The author of this commentary argues that physical scientists are attempting to advance knowledge in the so-called hard sciences, whereas education researchers are laboring to increase knowledge and understanding in an "extremely hard" but softer domain. Drawing on the work of Popper and Dewey, this commentary highlights the relative…

Human intelligence (also called general intelligence, "g," or Spearman's "g") is a highly useful psychological construct. Yet, since the middle of the 20th century, gifted education researchers have been reluctant to discuss human intelligence. The purpose of this article is to persuade gifted education researchers and…

It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is a danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the…

Language attrition research has developed in several clearly delimited phases spanning, roughly, each of the three decades between 1982 and 2012 (see Kopke & Schmid 2004 for a more detailed overview and analysis). The first phase was an era of stocktaking, with a number of symposia, collected volumes and special issues of journals. All of…

This report was commissioned by the Council of Exceptional Children (CEC) Board of Directors and a workgroup comprising seven special education researchers (Bryan Cook, Chair; Virginia Buysse; Janette Klingner; Tim Landrum; Robin McWilliam; Melody Tankersley; and Dave Test) who developed, vetted, and piloted the new standards for determining…

Multiple regression is one of the most common statistical methods used in quantitative educational research. Despite the versatility and easy interpretability of multiple regression, it has some shortcomings in the detection of suppressor variables and for somewhat arbitrarily assigning values to the structure coefficients of correlated…

This manuscript provides an overview of hierarchical linear modeling (HLM), as part of a series of papers covering topics relevant to consumers of educational research. HLM is tremendously flexible, allowing researchers to specify relations across multiple "levels" of the educational system (e.g., students, classrooms, schools, etc.).…