This chapter briefly traces the development of the concept of critical quantitative inquiry, provides an expanded conceptualization of the tasks of critical quantitative research, offers theoretical explanation and justification for critical research using quantitative methods, and previews the work of quantitative criticalists presented in this…

Multilevel modeling provides several advantages over traditional ordinary least squares regression analysis; however, reporting results to stakeholders can be challenging. This article suggests some strategies for presenting complex, multilevel data and statistical results to institutional and higher education decision makers. The article is…

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…

There is a steady line of research to understand faculty diversity and its impact on the work life quality of faculty and learning outcomes of students in the U.S. higher education systems. What makes this volume unique is that, rather than treating diversity as a static and simplistic concept, the chapter authors presented information to show…

"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…

This article describes a mixed-methods approach to integrating the methodological tools of social network analysis and qualitative research to explore intersectionality as it pertains to faculty experiences in institutional contexts. These research strategies, employed at the individual and aggregate levels, can be useful tools as institutions aim…

In this article, the author discusses how researchers can use mixed-methods approaches and intersectional analyses to understand college access among first-generation Asian American and Pacific Islanders (AAPIs). First, he discusses the utility of mixed-methods approaches and intersectionality research in studying college access. Then, he…

In this article, the authors discuss how merging mixed-methods and intersectional analyses can generate deeper and more authentic understandings of students' experiences within the campus climate and its relation to sense of belonging in college. They discuss overemphasis on one-dimensional analyses of campus climates and sense of belonging,…

In this article, the author argues that current strategies to study and understand students' identities fall short of fully capturing their complexity. A multi-dimensional perspective and a mixed-methods approach can reveal nuance that is missed with current approaches. The author offers an illustration of how mixed-methods research can promote a…

In this chapter, the authors outline an approach to assessing complex constructs supported by psychological science and research. This approach is informed by their background as psychologists but is general enough to incorporate other disciplinary approaches as well. They identify this approach as TAIM (Theory, Activities, Indicators, Multiple…

Promotion of diversity based on ethnic and racial identity of both students and faculty has become a central tenet in U.S. higher education, permeating everything from curricular development to student and faculty recruitment, and from campus infrastructural planning to articulation of an institution's strategic mission. References to diversity on…

This chapter summarizes ten selected issues and common problems that arise in most assessment research projects. These include: (1) the uses of grades in assessment; (2) institutional review boards; (3) research design as a compromise; (4) standardized testing; (5) self-reported measures; (6) missing data; (7) weighting data; (8) conditional…

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…