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Research funded by the Albert Shanker Institute found African-American teachers leaving teaching at higher rates than White counterparts even though the former are recruited in proportionally higher numbers. Thus, while recruitment efforts appear somewhat successful, schools and school systems fail to retain teachers of color. This “revolving door” of African-American teachers portends dire consequences for school communities, creating instability of staffing that potentially upend students’ opportunities for academic success. African-American female (AAF) teachers, considered a backbone of non-White communities, are particularly sensitive to teacher mobility and turnover. Studies, however, indicate that AAF teachers are more satisfied working in urban school contexts than other teachers, suggesting that they prefer racially congruent schools which share sociocultural attributes similar to their own, and view working conditions more favorably in such environments.

Teachers’ perceptions of the workplace can be used to gauge risk for occupational stress. Commonly referred to as the transactional model, teachers’ risk for stress can be assessed by the appraising workplace resources vis-à-vis workplace demands. Stress-vulnerable teachers are associated with lower professional commitment and increased occupational burnout. Using data from the National Center for Education Statistics 2007–2008 Schools and Staffing Survey (SASS), this chapter explored the intersections of risk for occupational stress, racial congruence, and professional commitment among AAF teachers. Findings from this chapter suggest interactions between racial congruence and AAF teachers’ perceptions of occupational stress and commitment to teaching. Implications for how these results might inform policy are discussed.

We propose a generic algorithm for numerically accurate likelihood evaluation of a broad class of spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The class of models under consideration includes specifications for discrete choices, event counts and limited-dependent variables (truncation, censoring, and sample selection) among others. Our algorithm relies upon a novel implementation of efficient importance sampling (EIS) specifically designed to exploit typical sparsity of high-dimensional spatial precision (or covariance) matrices. It is numerically very accurate and computationally feasible even for very high-dimensional latent processes. Thus, maximum likelihood (ML) estimation of high-dimensional non-Gaussian spatial models, hitherto considered to be computationally prohibitive, becomes feasible. We illustrate our approach with ML estimation of a spatial probit for US presidential voting decisions and spatial count data models (Poisson and Negbin) for firm location choices.

This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

We develop and validate measurement instruments for the business partner, watchdog, and scorekeeper roles of controllers. This study addresses calls to enhance the quality of survey research in management accounting by devoting more attention to scale development and especially to construct validity. By focusing on the activity sets of the controllers’ roles, we provide a theoretically and empirically grounded picture of their current roles. The measurement instruments presented in this study enable systematic research progress on controller roles, their relationships, antecedents, and performance outcomes.

In a diverse society, empathy would intuitively seem to represent a powerful force for social good. In particular, we expect empathic people to tolerate (rather than reject) attitudes that might be different from their own, and to resolve and/or avoid (rather than escalate) potential disagreements with others. Some research supports this benign view of empathy, but somewhat surprisingly, there is a “dark” side to empathy, one that can sometimes exacerbate attitudinal conflict. That is, empathy can often be parochial, in the sense that people are inclined to reserve their compassion for others only when they are deemed to be worthy of such support. In this chapter we review classic and contemporary research on the light and dark side of empathy, and consider its implications for the kinds of dynamics that could potentially emerge when people encounter people and ideas that are different from their own.