“…That is, if some men and women are relatively old and some men and women are relatively young, the differences between gender categories and age categories become smaller, because people will have something in common with each other on one of the dimensions. A meta-analysis by Migdal, Hewstone, and Mullen (1998) indeed showed that convergence of attributes leads to an accentuation of the differences between and the similarities within categories (i.e., high comparative fit), while the crossing of two category dimensions accentuates similarities between the categories and differences within each category (i.e., low comparative fit). Although the beneficial effects of cross-categorization have been demonstrated in a number of studies (e.g., Brown & Turner, 1979;Deschamps, 1977;Marcus-Newhall, Miller, Holtz, & Brewer, 1993), the results are limited to intergroup bias (e.g., stereotyping and resource allocation) in non-interactive, simulated groups, and little is known about the effects of cross-categorization on actual group functioning.…”