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Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction with preference data when drawing inferences about judges.

To cluster a population of judges, the population is modeled as a collection of homogeneous groups. The Plackett-Luce model for ranked data is employed to model a judge's ranked preferences within a group. A mixture of Plackett- Luce models is employed to model the population of judges, where each component in the mixture represents a group of judges.

Mixture of experts models provide a framework in which covariates are included in mixture models. Covariates are included through the mixing proportions and the component density parameters. A mixture of experts model for ranked preference data is developed by combining a mixture of experts model and a mixture of Plackett-Luce models. Particular attention is given to the manner in which covariates enter the model. The mixing proportions and group specific parameters are potentially dependent on covariates. Model selection procedures are employed to choose optimal models.

Model parameters are estimated via the ‘EMM algorithm’, a hybrid of the expectation–maximization and the minorization–maximization algorithms. Examples are provided through a menu survey and through Irish election data. Results indicate mixture modeling using covariates is insightful when examining a population of judges who express preferences.

The variance targeting estimator (VTE) for generalized autoregressive conditionally heteroskedastic (GARCH) processes has been proposed as a computationally simpler and misspecification-robust alternative to the quasi-maximum likelihood estimator (QMLE). In this paper we investigate the asymptotic behavior of the VTE when the stationary distribution of the GARCH process has infinite fourth moment. Existing studies of historical asset returns indicate that this may be a case of empirical relevance. Under suitable technical conditions, we establish a stable limit theory for the VTE, with the rate of convergence determined by the tails of the stationary distribution. This rate is slower than that achieved by the QMLE. The limit distribution of the VTE is nondegenerate but singular. We investigate the use of subsampling techniques for inference, but find that finite sample performance is poor in empirically relevant scenarios.

This chapter seeks to reassess the film GoldenEye (Campbell, 1995), and its highly successful (Impellizeri, 2010) videogame adaptation GoldenEye 007 (Rare, 1997), in light of the concept of the Hegemony of Play (Fron, Fullerton, Morie, & Pearce, 2007), which seeks to critique the dominance of the hypermasculine ‘gamer’ identity in videogame culture (a persona GoldenEye anticipates in its problematic character Boris Grishenko).

Since the gamer is bound up in the very technological materiality of videogames as a medium and an industry (Dyer-Witheford & de Peuter, 2009), central to this discussion is the significant yet highly ambivalent role technology continues to play in the Bond films, both extending and threatening (Leach, 2015; Nitins, 2010) Bond’s natural male skill and intuition (McGowan, 2010). Indeed, GoldenEye is a particularly salient study since many suggest Brosnan to be the most technologically adept (or dependent) of the Bonds (Rositzka, 2015; Willis, 2003), and I will argue that the film and game together explore just what happens when Bond’s implacable force meets the immutable technological object, providing a fascinating lens through which to read the larger technocultural shifts embodied in the transition to the immaterial economies of cognitive capitalism (Hardt & Negri, 2001) and their potential to disrupt traditional, patriarchal gender configurations (Haraway, 1991; Hayles, 2005; Plant, 1998; Wajcman, 2004).

Core to this is a critical reading of the game’s popular multiplayer mode, where exploration of whether technology can be understood to potentially level the gender playing field (Jones, 2015) or whether the fact that such technology is always already encoded as masculine (Chess, 2017) ultimately undercuts this ambition.

This chapter uses critical race theory (CRT) and postcolonial lenses to critique the postrace concept and organizational power differentials mirroring an ethnically coded society. CRT reminds us that despite antidiscrimination laws around the globe, employers still normatively pursue workplace homogeneity; not necessarily a racist impulse, but in an effort to promote perceived organizational efficiency. Understanding how organizations have become hard-wired to perpetuate White privilege helps to dismantle systemic barriers which continue to stand between people of color and an ability to reach their full human potential at work.

Understanding of power and difference in organizations requires consistent diligence. Using ethnic diversity primarily as a means for advancing profit generation motives rather than as an opportunity to advance social justice, too many multinational corporations offer mere lip service to ethnic diversity. For example, organizations tend to imagine that they are more ethnically diverse than they really are and enable prejudice, racism and microagressions against people who constitute ethnic minorities. Among social researchers, attention to ethnic difference requires careful and consistent attention as well. Because skin color ranks among the most visible of social identity dimensions, diversity and ethnicity/race erroneously are considered synonymous and skin color becomes some default condition for diversity in social research studies. Chapter 5 explores these important subthemes: interrogating Whiteness and navigating diversity at work; exposing the “requisite variety” concept for its homophily thesis roots; examining effects of “othering,” liminal spaces and tokenism; racism and microaggressions have gone underground; and intersectionality of ethnicity with other social identity dimensions.