The shape of self-evaluation: Implicit theories of intelligence and judgments of intellectual ability

Self-report distributions of self-evaluations are proposed to convey information beyond unidimensional (e.g., Likert-type) measures. Two studies tested the hypothesis that the shape of a distribution-type measure of self-evaluation of intellectual ability, as well as the central tendency and variability, is a meaningful indicator of individual differences. Specifically, one correlational study showed that measures of central tendency, variability, and skew were uniquely associated with self-ratings of ability level, self-certainty, and implicit theories of intelligence, respectively. An experiment explored the finding that incremental theorists (Dweck, 1999) reported more negatively skewed distributions than entity theorists. Only incremental theorists who wrote essays about recent intellectual growth created negatively skewed distributions; entity theorists did not. Evidence supports the hypotheses that self-report distributions are multiply informative and idiographic measures of self-evaluation, that negative skew on intellectual ability distributions can represent perceptions of growth, and that incremental theorists typically take this perspective when evaluating their own intellectual ability.