Laurance Haines School

Our school rankings are meticulously determined through a rigorous process:

• Factor Selection: We choose relevant factors for the ranking, balancing statistical accuracy and practical relevance.
• Data Evaluation: We assess data quality, ensuring it distinguishes schools and is accurate. Bayesian methods are used for user-generated data
• Standardized Scores: Factors are converted into standardized scores (z-scores) for fair comparison among schools.
• Weight Assignment: We assign weights to factors, preventing any single factor from overly influencing rankings. We consider user preferences and industry research.
• Overall Score: Each school's overall score is calculated by applying weights to individual factor scores.
• Data Completeness: Schools missing over 50% of data are excluded. Those with at least 50% data but lacking required factors get a grade but not a numerical ranking. Eligible schools have all factors and 500+ full-time undergraduates.
• Ranking and Grades: Qualified schools are numerically ranked based on z-scores. Grades are assigned using the ordered z-scores, following a standard distribution.

This meticulous process ensures our rankings provide accurate and meaningful insights for your school choices.