Diversity in teams has been previously defined in terms of the nominal categories into which team members "fall". The core argument of this paper is that diversity is a subjective experience of social categories to which members "feel" they belong. These categories, or social identities, may...

In this chapter we apply intergroup emotion theory (IET; Mackie, Devos, & Smith, 2000) to reflect on the conditions under which individuals may experience intergroup emotions in workgroups, and to explore some possible consequences of those emotions. First, we briefly outline IET and describe...

In this paper we maximize the efficiency of a multivariate S-estimator under a constraint on the breakdown point. In the linear regression model, it is known that the highest possible efficiency of a maximum breakdown S-estimator is bounded above by 33% for Gaussian errors. We prove the...

Nonparametric correlation estimators as the Kendall and Spearman correlation are widely used in the applied sciences. They are often said to be robust, in the sense of being resistant to outlying observations. In this paper we formally study their robustness by means of their influence functions...

The Sign Covariance Matrix is an orthogonal equivariant estimator of multivariate scale. It is often used as an easy-to-compute and highly robust estimator. In this paper we propose a k-step version of the Sign Covariance Matrix, which improves its efficiency while keeping the maximal breakdown...

Nonparametric correlation estimators as the Kendall and Spearman correlation are widely used in the applied sciences. They are often said to be robust, in the sense of being resistant to outlying observations. In this paper we formally study their robustness by means of their influence functions...