Latent class analysis (LCA) is a statistical method used to identify subtypes of related cases using a set of categorical or continuous observed variables. Traditional LCA assumes that observations are independent. However, multilevel data structures are common in social and behavioral research and alternative strategies are needed. In this…

The sophisticated analytical techniques available to institutional researchers give them an array of procedures to estimate a causal effect using observational data. But as many quantitative researchers have discovered, access to a wider selection of statistical tools does not necessarily ensure construction of a better analytical model. Moreover,…

Early adolescence represents a particularly vulnerable period of development during which young people are susceptible to establishing lifelong behavior patterns associated with poor life, health, and educational outcomes. Previous research demonstrates older adolescents and young adults often experience negative life events (NLEs) prior to…

In Shadish (2010) and West and Thoemmes (2010), the authors contrasted 2 approaches to causality. The first originated in the psychology literature and is associated with work by Campbell (e.g., Shadish, Cook, & Campbell, 2002), and the second has its roots in the statistics literature and is associated with work by Rubin (e.g., Rubin, 2006). In…

Qualitative methods have become common in statistics education research, but questions linger about their role in scholarship. Currently, influential policy documents lend credence to the notion that qualitative methods are inherently inferior to quantitative ones. In this paper, several of the questions about qualitative research raised in recent…

Researchers in geography education have access to a wide range of research methods, spanning the quantitative-qualitative continuum. However, the choice of which methods to employ in one's research has a direct impact on the subsequent quality of the research findings and should therefore be carefully considered. This paper briefly explores the…

Researchers are often distressed to discover that the data they wanted to use in their landmark study is not configured in a way that is usable by a Statistical Analysis Software Package (SASP). For example, the data needed may come from two or more sources and it may not be clear to the researcher how to get them combined into one analyzable…

The classification by many scholars of numerical research processes as quantitative and other research techniques as qualitative has prompted the construction of a third category, that of "mixed methods", to describe studies that use elements from both processes. Such labels might be helpful in structuring our understanding of phenomena. But they…

This report presents results pertaining to mental health from the 2010 National Survey on Drug Use and Health (NSDUH), an annual survey of the civilian, noninstitutionalized population of the United States aged 12 years old or older. This report presents national estimates of the prevalence of past year mental disorders and past year mental health…

This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…

Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…

This article reviews the premises of configural frequency analysis (CFA), including methods of choosing significance tests and base models, as well as protecting [alpha], and discusses why CFA is a useful approach when conducting longitudinal person-oriented research. CFA operates at the manifest variable level. Longitudinal CFA seeks to identify…

The Federal Pell Grant End-of-Year Report presents primary aspects of Federal Pell Grant Program activity for the 2011-2012 award year. This presentation is a compilation of quantitative program data assembled to offer insights into the changes to the Title IV applicant universe and the Federal Pell Grant Program. The Federal Pell Grant…

In this article, the authors demonstrate how researchers can integrate qualitative and quantitative methods to gain a deeper understanding of the prevalence and nature of cultural taxation among black professors. In doing so, they show how the impact of cultural taxation on the experiences of black faculty in the academy is best captured using…

In multilevel modeling (MLM), group-level (L2) characteristics are often measured by aggregating individual-level (L1) characteristics within each group so as to assess contextual effects (e.g., group-average effects of socioeconomic status, achievement, climate). Most previous applications have used a multilevel manifest covariate (MMC) approach,…