This project uses multiple methods to collect original data. The research is designed to generate descriptive evidence through design research, and ethnography, as well as evidence that is associative/correlational and causal [quasi-experimental; statistical modeling; and synthesis methods are used].
Youth participants will complete the following measures: race and gender stereotypes; race and gender discrimination; academic self-concept; self-esteem; attributional beliefs; classroom engagement; competence, autonomy, and relatedness in specific courses; academic and work interests, activities; achievement. A subsample of these youth will complete qualitative interviews. Parent participants will complete the following measures: race and gender stereotypes, perceptions of the child’s abilities, educational expectations for the child, child’s school engagement, child’s academic and work interests, activities. Teachers will complete measures of the youth’s classroom engagement and their educational expectations of the students.
Data will be analyzed using structural equation modeling and latent growth curve modeling to assess change across time, school and classroom effects, group differences, and relationships among variables. Qualitative interview transcripts will be coded with Atlas Ti.