Factors that Predict ACT Science Scores from a Multicultural Perspective

Abstract

This study investigated predictors for ACT Science scores, a test used by many universities to rank applicants. This study utilized quantitative research methods using the Montana Office of Public Instruction’s GEMS (Growth and Enhancement of Montana Students) data set. All advanced statistical analysis was conducted using Stata software IC/15. This research is significant for increasing the representation of under-represented groups in STEM education because it helps clarify three important relationships: (1) How well do gender, race, and meal status predict 11th grade ACT Science scores; (2) How well does school size predict 11th grade ACT Science scores while controlling for gender, race, and meal status; and (3) How well does high school GPA predict 11th grade ACT Science scores while controlling for gender, race, meal status, and school size.