Does “Math Identity” Matter? Predictions of STEM Major Intention from HSLS:09 Using Logistic Regression

• In Event: AERA Poster Session Sunday 11:45 am
  In Poster Session: SIG-RME Poster Session: Explorations of the Mathematics Teaching and Learning Experience

Abstract

Positive mathematics identity contributes to STEM major selection, and both are associated with long-term persistence in STEM pathways. This study used a nationally representative sample of ninth grade students (N = 21,444) to illuminate how high school math identity predicts the likelihood of choosing a STEM major. Framed by socialization theory (Martin, 2000), school factors, parental factors, and demographic variables were included as covariates. Logistic regression models showed students with a stronger math identity were nearly twice as likely to choose a STEM major. Math identity emerged as the single strongest predictor of STEM major selection, compared to all other covariates. Implications of the findings for practice and future research are discussed.

Author

• Alexis Daniels, Johns Hopkins University