INSTRUMENTAL AND EXPRESSIVE TRAITS, TRAIT STEREOTYPES, AND SEXIST ATTITUDES What Do They Signify?

College students rated die typical male and female student and themselves on 22 instrumental (I) and 16 expressive (E) items from the PAQ (Spence & Helmreich, 1978) and the BSRI (Bern, 1974), as well as on the BSRI items "masculine" and "feminine." They also completed measures of gender stereotypes and sexist attitudes. Significant gender stereotypes were found on all but two I and E items in both genders. Significant gender differences in self-report were found on all the E items but on only 41% of the I items, confirming our hypotheses that societal changes have led women to develop more agentic self-conceptions. The pattern of relationships found between the self-report, stereotype, and attitude measures supports the utility of a multidimensional approach to gender. Responses to the items "masculine" and "feminine" confirm the implications of our hypothesis that these items primarily assess men's and women's basic sense of gender identity.     

The High Cost of Complexity in Experimental Design and Data Analysis: Type I and Type II Error Rates in Multiway ANOVA

The availability of statistical software packages has led to a sharp increase in use of complex research designs and complex statistical analyses in communication research. An informal examination of studies from 2 leading communication journals suggests that the analysis of variance (ANOVA) is often the statistic of choice, and a substantial proportion of published research reports using ANOVA employ complex (k ≥ 3) factorial designs, often involving multiple dependent variables. This article reports a series of Monte Carlo simulations which demonstrate that this complexity may come at a heavier cost than many communication researchers realize. As frequently used, complex factorial ANOVA yield Type I and Type II error rates that many communication scholars would likely consider unacceptable. Consequently, quality of statistical inference in many studies is highly suspect. Communication researchers are warned about problems associated with design and statistical complexity and solutions are suggested.