Deeper Understanding of Factors Influencing Parental School Choices Using Machine Learning Models

• In Event: Research in Progress Roundtable Session 3
  In Invited Roundtable: School Choice: Equity, Race, and Parental Decision-Making (Table 5)

Abstract

This study examines factors influencing parental school choice across traditional public schools, public schools of choice, private schools, and homeschooling. Using data from the NHES: 2019 Parent and Family Involvement Survey, the research applies machine learning techniques to identify key predictors such as parent beliefs or demographic factors that can predict parental school choice decisions. Grounded in the Theory of Planned Behavior and Social Stratification Theory, the study highlights the interplay of demographics and preferences in shaping decisions. Preliminary findings indicate distinct patterns for homeschoolers and underscore challenges in accurately predicting other school types. This research offers valuable insights for policymakers and educators, shedding light on both conscious considerations and non-cognitive influences that shape parental decisions regarding school choice.

Author

• Cammie Justus-Smith, Virginia Commonwealth University