Supported by emerging research and practice, this chapter provides a comprehensive conceptual framework for first-year assessment.

This chapter will examine characteristics of first-year experience programs in community colleges, with specific attention to the extant research about their effectiveness, the ways in which research and program delivery can be integrated, and the unique challenges of delivering FYE programs and conducting research about them in community colleges.

The goal of this chapter is to provide a brief introduction to one of the most rigorous nonexperimental analytical methods currently employed by education researchers: regression discontinuity.

The methods and models for categorical data analysis cover considerable ground, ranging from regression-type models for binary and binomial data, count data, to ordered and unordered polytomous variables, as well as regression models that mix qualitative and continuous data. This article focuses on methods for binary or binomial data, which are…

Multilevel modeling (MLM) gives researchers the ability to make inferences about organizations where nesting factors will bias results and the assumption of independence is not tenable. This article provides an overview of the variety of data sources that lend themselves to conducting institutional research (IR). It not only serves as a repository…

This final chapter provides observations about institutional research in community colleges derived from the preceding chapters and the issue editors' own experiences. Taken as a whole, the chapters in this issue, as well as the editors' experiences, suggest several observations about institutional research in community colleges. These include the…

In this chapter, the author examines the adequacy and appropriateness of self-report data using the lens of construct validity (Kane, 2006; Messick, 1989). Because construct validity focuses on the appropriateness of data for specific uses or interpretations, he limits his discussion to the use of self-report data in scholarly research. Other…

Decades of research in survey methodology and psychology have yielded important insights about how to create effective and valid survey instruments. As Porter (in press) has argued convincingly, college student surveys often fall well short of these standards by placing unrealistic demands on students' memory and by assuming that students readily…

The articles in this volume indicate that typological research on college students has been around for about half a century and has a strong presence in the literature on college students. The underlying assumption in typological research is that outcomes of interests (for example, student attitudes, experiences, and outcomes) and students…

"Intersectionality" can be defined as the "relationships among multiple social dimensions and modalities of social relations and subject formations." In simpler terms, it can be defined as the processes through which multiple social identities converge and ultimately shape individual and group experiences. In this article, the authors discuss the…

In this article, the authors discuss the utility of combining quantitative and qualitative methods in conducting intersectional analyses. First, they discuss some of the paradigmatic underpinnings of qualitative and quantitative research, and how these methods can be used in intersectional analyses. They then consider how paradigmatic pragmatism…

Assessment research is at its best when it packages research results and data so that they can be digested by multiple audiences. Too many assessment researchers spend all their efforts planning and executing the research project with little attention to closing the loop at the end. If assessment findings are not communicated effectively, the…

This chapter discusses Washington State's Student Achievement Initiative, a new performance funding system for community and technical colleges. Its purposes are to improve public accountability by more accurately describing what students achieve from enrolling in state colleges each year and provide incentives through financial rewards to…

Underrepresented racial minorities (URMs) earn college degrees in science, technology, engineering, and mathematics (STEM) fields at lower rates than do their majority peers. The term "underrepresented minority" refers to Black, Latina/o, Native American, and Southeast Asian American (Cambodian, Hmong, Lao, and Vietnamese) students. Statistics…

In this chapter, the author offers the National Black Male College Achievement Study (NBMCAS) as an example of how to explore and better understand the enablers of minority student achievement in science, technology, engineering, and mathematics (STEM). Methods employed in the national study are described, followed by the presentation of an…