Research has shown that gender differences in self-perceptions exist. However, interpretational ambiguities make it impossible to determine whether these gender differences are due to the operation of biases. The present research investigated whether gender differences in biased selfperceptions exist by assessing the accuracy of posttask self-evaluations of performance. In accordance with self-consistency theory, it was hypothesized that Ss' expectancies affect their posttask self-evaluations. For example, men who generally have high expectancies on masculine-gendertyped tasks were hypothesized to evidence overly positive self-evaluations. Women, who generally hold low expectancies on masculine tasks, were hypothesized to hold overly negative self-evaluations. The results confirmed that self-consistency tendencies can partially explain self-perception biases. The implications of these findings for women's achievement behavior and self-confidence are discussed.

This research assessed gender differences in the accuracy of self-perceptions. Do males and females with equal ability have similar self-perceptions of their ability? Three measures of accuracy were used: accuracy of self-evaluations, calibration for individual questions, and response bias. As hypothesized, for a masculine task, significant gender differences were found for all three measures: Females' self-evaluations of performance were inaccurately low, their confidence statements for individual questions were less wel calibrated than males; and their response bias was more conservative than males'. None of these gender differences were found for feminine and neutral tasks. As hypothesized, strong self-consistency tendencies were found. Expectancies emerged as an important predictor of self-evaluations of performance for both genders and could account for females' inaccurately low self-evaluations on the masculine task. How females' inaccurate self-perceptions might negatively affect achievement behavior and curtail their participation in masculine domains is discussed.

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We examined gender differences and differences in Computer Science (CS) majors vs. non-majors in ability in quantitative areas, educational goals and interests, experience with computers, stereotypes and knowledge about CS, confidence, personality, support and encouragement, stress and financial issues, gender discrimination, and attitudes toward the academic environment in CS. What is unique to this investigation is its multivariate nature. While others have studied these variables in isolation, our study looks at them collectively to identify important interactions among variables. This will eventually allow us to identify a profile of women who pursue careers in CS. The findings are reported in detail below. Particularly noteworthy is that men had more confidence in using computers than did women even when statistically controlling quantitative ability. In fact, female CS majors had less computer confidence than did male non-majors!