Early in this century, most empirically oriented psychologists believed that all motivation was based in the physiology of a set of non-nervous system tissue needs. The theories of that era reflected this belief and used it in an attempt to explain an increasing number of phenomena. It was not until the 1950s that it became irrefutably clear that much of human motivation is based not in these drives, but rather in a set of innate psychological needs. Their physiological basis is (...) less understood; and as concepts, these needs lend themselves more easily to psycho logical than to physiological theorizing. The convergence of evidence from a variety of scholarly efforts suggests that there are three such needs: self-determination, competence, and interpersonal relatedness. This book is primarily about self-determination and competence (with particular emphasis on the former), and about the processes and structures that relate to these needs. The need for interpersonal relat edness, while no less important, remains to be explored, and the findings from those explorations will need to be integrated with the present theory to develop a broad, organismic theory of human motivation. Thus far, we have articulated self-determination theory, which is offered as a working theory-a theory in the making. To stimulate the research that will allow it to evolve further, we have stated self-determination theory in the form of minitheories that relate to more circumscribed domains, and we have developed paradigms for testing predictions from the various minitheories. (shrink)

Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; (...) generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions. (shrink)

[Correction Notice: An erratum for this article was reported in Vol 136 of Psychological Bulletin. On page 118 of the article “Cross-National Patterns of Gender Differences in Mathematics: A Meta-Analysis,” by Nicole M. Else-Quest, Janet Shibley Hyde, and Marcia C. Linn, the images on Figures 1 and 2 are incorrectly reversed. The legends for Figures 1 and 2 are in the correct order.] A gender gap in mathematics achievement persists in some nations but not in others. In light of the (...) underrepresentation of women in careers in science, technology, mathematics, and engineering, increasing research attention is being devoted to understanding gender differences in mathematics achievement, attitudes, and affect. The gender stratification hypothesis maintains that such gender differences are closely related to cultural variations in opportunity structures for girls and women. We meta-analyzed 2 major international data sets, the 2003 Trends in International Mathematics and Science Study and the Programme for International Student Assessment, representing 493,495 students 14–16 years of age, to estimate the magnitude of gender differences in mathematics achievement, attitudes, and affect across 69 nations throughout the world. Consistent with the gender similarities hypothesis, all of the mean effect sizes in mathematics achievement were very small ; however, national effect sizes showed considerable variability. Despite gender similarities in achievement, boys reported more positive math attitudes and affect ; national effect sizes ranged from d = −0.61 to 0.89. In contrast to those of previous tests of the gender stratification hypothesis, our results point to specific domains of gender equity responsible for gender gaps in math. Gender equity in school enrollment, women’s share of research jobs, and women’s parliamentary representation were the most powerful predictors of cross-national variability in gender gaps in math. Results are situated within the context of existing research demonstrating apparently paradoxical effects of societal gender equity and highlight the significance of increasing girls’ and women’s agency cross-nationally. (shrink)

This theoretical integration of social psychology’s main cognitive and affective constructs was shaped by 3 influences: (a) recent widespread interest in automatic and implicit cognition, (b) development of the Implicit Association Test (IAT; A. G. Greenwald, D. E. McGhee, & J. L. K. Schwartz, 1998), and (c) social psychology’s consistency theories of the 1950s, especially F. Heider’s (1958) balance theory. The balanced identity design is introduced as a method to test correlational predictions of the theory. Data obtained with this method (...) revealed that predicted consistency patterns were strongly apparent in the data for implicit (IAT) measures but not in those for parallel explicit (self-report) measures. Two additional not-yet-tested predictions of the theory are described. (shrink)

The present study, grounded in gender schema theory, employed a posttest experimental design to examine how television might influence girls’ perceptions of STEM (science, technology, engineering, and mathematics). Girls (6-9 years old) were either exposed to stereotypical or counter-stereotypical STEM female television characters. In a posttest following exposure, girls reported math and science self-efficacy, preference for STEM and stereotypical careers, and perceptions of scientists’ gender using the draw-a-scientist procedure. Girls in the stereotype condition reported more interest in stereotypical careers and (...) were more likely to perceive scientists as males than girls in the counter-stereotype STEM condition or a no exposure control. Girls in the counter-stereotype STEM condition did not differ from the no exposure control in any of the dependent variables. Results suggest that onetime exposure to televised stereotypes may activate existing gender schema, but that onetime exposure to televised counter-stereotypes may not have the capacity to alter girls’ STEM schema. (shrink)