Qualitative coding procedures emanating from grounded theory were limited by technologies of the 1960s: colored pens, scissors, and index cards. Today, electronic documents can be flexibly stored, retrieved, and cross-referenced using qualitative data analysis (QDA) software. We argue the oft-cited grounded theory framework poorly fits many features of contemporary sociological interview studies, including large samples, coding by teams, and mixed-method analysis. The grounded theory approach also hampers transparency and does not facilitate reanalysis or secondary analysis of interview data. We begin by summarizing grounded theory’s assumptions about coding and analysis. We then analyze published articles from American Sociological Association flagship journals, demonstrating that current conventions for semistructured interview studies depart from the grounded theory framework. Based on experience analyzing interview data, we suggest steps in data organization and analysis to better utilize QDA technology. Our goal is to support rigorous, transparent, and flexible analysis of in-depth interview data. We end by discussing strengths and limitations of our twenty-first-century approach.

This paper explores the causes behind the severe underrepresentation of women in engineering. Based on national data on undergraduate engineering programs, this study presents cross-sectional estimates of male and female student retention. Contrary to widespread beliefs, the study found that overall and in most disciplines there is no differential attrition by gender. Instead, results suggest that gender disparities in engineering are largely driven by inadequate enrollment (not inadequate retention) of women. The paper concludes that outreachwithin institutions of higher education, across institutions (into two-year colleges, middle and high schools), and into K-12 curricular reform-are needed to address what is, at its very core, a recruitment problem.

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Rationale Social networks offer important emotional and instrumental support following natural disasters. However, displacement may geographically disperse network members, making it difficult to provide and receive support necessary for psychological recovery after trauma. Objectives We examine associations between distance to network members and post-traumatic stress using survey data, and identify potential mechanisms underlying this association using in-depth qualitative interviews. Methods We use longitudinal, mixed-methods data from the Resilience in Survivors of Katrina (RISK) Project to capture the long-term effects of Hurricane Katrina on low-income mothers from New Orleans. Baseline surveys occurred approximately one year before the storm and follow-up surveys and in-depth interviews were conducted five years later. We use a sequential explanatory analytic design. With logistic regression, we estimate the association of geographic network dispersion with the likelihood of post-traumatic stress. With linear regressions, we estimate the association of network dispersion with the three post-traumatic stress sub-scales. Using maximal variation sampling, we use qualitative interview data to elaborate identified statistical associations. Results We find network dispersion is positively associated with the likelihood of post-traumatic stress, controlling for individual-level socio-demographic characteristics, exposure to hurricane-related trauma, perceived social support, and New Orleans residency. We identify two social-psychological mechanisms present in qualitative data: respondents with distant network members report a lack of deep belonging and a lack of mattering as they are unable to fulfill obligations to important distant ties. Conclusion Results indicate the importance of physical proximity to emotionally-intimate network ties for long-term psychological recovery.

Nearly all young people in the United States aspire to a college degree, but many fail to complete college in a timely manner. Does this lack of attainment reflect abandoned college plans? I analyze mixed-methods data from a five-year study of 700 low-income mothers at two Louisiana community colleges. Hurricane Katrina displaced respondents and interrupted their college educations; respondents had to decide whether, how, and why to return to school. Few women earned degrees during the study, but survey data indicate that the rate of reenrollment and intentions to complete were high. Interview data reveal the cultural logics supporting continued plans for a return to college. Instrumentally, respondents believed education would result in better employment. Expressively, the moral status afforded students supported respondents’ narratives of upward mobility despite the difficulties they faced. The logic of human capital investment dominates policy and academic discussions of education’s value, but I find the symbolic meaning of a college degree also shapes plans for college return and college decision making long into adulthood. Plans to return persist long beyond the objective probability of earning a degree, and despite respondents’ difficult experiences, due to the expressive value college plans add to these young women’s lives.

In recent years, private for-profit education has been the fastest growing segment of the U.S. postsecondary system. Traditional hiring models suggest that employers clearly and efficiently evaluate college credentials, but this changing institutional landscape raises an important question: How do employers assess credentials from emerging institutions? Building on theories of educational authority, we hypothesize that employers respond to an associate’s degree itself over the institution from which it came. Using data from a field experiment that sent applications to administrative job openings in three major labor markets, we found that employers responded similarly to applicants listing a degree from a fictional college and applicants listing a local for-profit or nonprofit institution. There is some evidence that educational authority is incomplete, but employers who prefer degree-holders do not appear to actively evaluate institutional quality. We conclude by discussing implications of our work for research on school to labor market links within the changing higher education marketplace.