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As students increasingly incur debt to finance their undergraduate education, there is heightened concern about the long-term implications of loans on borrowers, especially borrowers from low socioeconomic backgrounds. Drawing upon the concepts of cultural capital and habitus (Bourdieu & Passeron, 1977), this research explores how student debt and social class intersect and affect individuals’ trajectory into adulthood. Based on 50 interviews with young adults who incurred $30,000–180,000 in undergraduate debt and who were from varying social classes, the findings are presented in terms of a categorization schema (income level by level of cultural capital) and a conceptual model of borrowing. The results illustrate the inequitable payoff that college and debt can have for borrowers with varying levels of cultural resources, with borrowers from low-income, low cultural capital backgrounds more likely to struggle throughout and after college with their loans.

In this chapter, we present our ongoing efforts in developing and sustaining interdisciplinary STEM undergraduate programs at North Carolina A&T State University (NCA&T) – a state-supported HBCU and National Science Foundation (NSF) Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) Institutional Implementation Project grantee. Through three rounds of NSF HBCU-UP implementation grants, a concerted effort has been made in developing interdisciplinary STEM undergraduate research programs in geophysical and environmental science (in round 1), geospatial, computational, and information science (in round 2), and mathematical and computational biology (in round 3) on NCA&T campus. We first present a brief history and background information about the interdisciplinary STEM undergraduate research programs developed and sustained at NCA&T, giving rationales on how these programs had been conceived, and summarizing what have been achieved. Next we give a detailed description on the development of undergraduate research infrastructure including building research facilities through multiple and leveraged funding sources, and engaging a core of committed faculty mentors and research collaborators. We then present, as case studies, some sample interdisciplinary research projects in which STEM undergraduate students were engaged and project outcomes. Successes associated to our endeavor in developing undergraduate research programs as well as challenges and opportunities on implementing and sustaining these efforts are discussed. Finally, we discuss the impact of well-structured undergraduate research training on student success in terms of academic performance, graduation rate and continuing graduate study, and summarize many of the learnings we have gained from implementation and delivery of undergraduate research experiences at HBCUs.

Higher education researchers are often challenged by the difficulty of empirically validating causal links posited by theories or inferred from correlational observations. The instrumental variable (IV) estimation strategy is one approach that researchers can use to estimate the causal impact of various higher education–related interventions. In this chapter, we discuss how the body of quantitative research specifically devoted to higher education has made use of the IV estimation strategy: we describe how this estimation strategy was used to address causality concerns and provide examples of the types of IVs that were used in various subfields of higher education research. Our discussion is based on a systematic review of a corpus of econometric studies on higher education–related issues that spans the last 30 years. The chapter concludes with a critical discussion of the use of IVs in quantitative higher education research and a discussion of good practices when using an IV estimation strategy.

Since the first enslaved Africans arrived in America, there has been a dialogue about if, how and what “the Negro” should be taught. This discussion became more important with the emancipation of approximately 3 million slaves, more than 90 percent of whom are believed to have been illiterate. The general sentiment of Southerners about the education of blacks is evident in The Southern Planter and Farmer, where a Virginian named Bebbet Puryear, writing under the pseudonym “Civis,” wrote:I oppose [education for blacks] because it is a policy that is cruelty in the extreme to the Negro himself. It instills in his mind that he is competent to share in the higher walks of life, prompts him to despise those menial pursuits to which his race has been doomed, and invites him to enter into competition with the white man for those tempting prizes that can be won only by a higher order of administrative talent than the negro has ever developed. (Lucas p. 159)

The purpose of this paper was to examine the robustness of the findings on educational advantage among sexual minority men.

Using nationally representative data (AddHealth) and controlling for other predictors of academic attainment, we examine the educational attainment of sexual minority males by using hierarchical regression and logistical regression for two measures of sexual identity.

We find robust differences in educational attainment across analyses and sexual orientation constructs. Our results show sexual minority identity predicts up to a year more of education for male respondents and consistently reporting male homosexuals have an even greater advantage, more than one and a half years, compared to inconsistent responders.

Our results extend previous research on educational outcomes for nonheterosexual adolescents, suggesting there are sustained differences in long-term educational outcomes for nonheterosexual adults and supporting earlier analyses of the AddHealth survey data. This study contributes to the existing literature by examining educational attainment as measured by continuous years and cut-points, using two measures of sexual orientation, providing estimates for all Wave 4 sexual minority identities (i.e., not collapsing any sexual minority category), and controlling for adolescent school geography and type. Moreover, we find early identification of sexual orientation and stability of sexual orientation may be an important source of variation in identifying LGBTQ adolescents who are at greater academic risk or who may benefit from increased social support.

Expectancy-value theory is prominent in different areas in psychology, and a number of educational and developmental psychologists who study the development of achievement motivation have utilized this theory in their work (see Schunk, Pintrich, & Meece, 2006; Weiner, 1992; Wigfield & Eccles, 1992; Wigfield, Tonks, & Klauda, 2009 for overviews). In this chapter, we discuss current expectancy-value theoretical models of achievement motivation and review research based on these models. Much of this research has focused on the development of children's expectancies and values, and how expectancies and values relate to performance, choice of different activities, and emotions. We discuss the major findings from each of these areas of research. We also provide suggestions for future research based in this theory for the next decade. We focus our review and suggestions for future research primarily on elementary and secondary school students, but include some relevant work done with college students.

Purpose – The introductory chapter to this special issue highlights contemporary scholarship on networks, work, and inequality.Methodology – We review the last decade of research on this topic, identifying four key areas investigation: (1) networks and hiring, (2) networks and the labor process, (3) networks and outcomes at work, and (4) networks and institutional dynamics.Findings – Social networks play an important role in understanding the mechanisms by which and the conditions under which economic inequality is reproduced across gender, race, and social class distinctions. Throughout the review, we point to numerous opportunities for future research to enhance our understanding of these social processes.

This chapter uses a college-by-graduate degree fixed effects estimator to evaluate the returns to 19 different graduate degrees for men and women. We find substantial variation across degrees, and evidence that OLS overestimates the returns to degrees with the highest average earnings and underestimates the returns to degrees with the lowest average earnings. Second, we decompose the impacts on earnings into effects on wage rates and effects on hours. For most degrees, the earnings gains come from increased wage rates, though hours play an important role in some degrees, such as medicine, especially for women. Third, we estimate the net present value and internal rate of return for each degree, which account for the time and monetary costs of degrees. Finally, we provide descriptive evidence that satisfaction gains are large for some degrees with smaller economic returns, such as education and humanities degrees, especially for men.

This study provides new evidence on the effect of compulsory schooling laws on educational attainment and earnings. First, we re-examine the effect of compulsory schooling laws for cohorts born between 1900 and 1964 (“older cohorts”) using newly available data that match administrative earnings records with the survey data. Second, we provide among the first evidence on cohorts born between 1977 and 1996 (“younger cohorts”). Our findings suggest that compulsory schooling laws increased the educational attainment of older cohorts, but had no economically significant effect on the educational attainment of younger cohorts. We are unable to find consistent evidence that compulsory schooling laws increased the earnings of older cohorts – a finding which adds to growing evidence that compulsory schooling laws are less beneficial than earlier studies suggest.

Research that tracks low-income populations across educational transitions contains threats to validity that can compromise evidence-based educational policy and practice. The Big Picture Longitudinal Study is a national, multiyear study that follows low-income urban youth who were accepted into college as high school seniors. Triangulating the results of multiple longitudinal data sources showed that reported college aspirations and enrollment intentions were inconsistently and differently reported by students and teachers in the final semester of high school. Relying on a particular data source and time can result in mistakenly equating college aspirations and enrollment behaviors, these findings suggest. In particular, secondary school educators’ inflated assumptions about their students’ college aspirations can obscure the need for supporting multiple pathways to college and work for low-income, first-generation high school seniors.