Which data should the school psychologist consider to identify which students are most at risk of dropping out?

Which data should the school psychologist consider to identify which students are most at risk of dropping out?

• A. Attendance only
• B. Attendance, credits earned, and behavioral incidents
• C. Credits earned and test scores
• D. Standardized tests only

Answer: (B)

A multi-factor approach that includes attendance, credits earned, and behavioral incidents provides the clearest signal of which students are at risk for dropping out. Attendance shows how consistently a student is present; frequent or chronic absences disrupt learning and strongly predict disengagement. Credits earned reflect progress toward graduation—if a student isn’t accumulating enough credits, they’re unlikely to meet graduation requirements on time. Behavioral incidents reveal ongoing engagement challenges and the need for support; persistent behavior problems are often linked to higher dropout risk. Relying on any single data source misses important pieces of the picture. Attendance alone can miss students who attend but fall behind academically or struggle with behavior. Credits earned alone don’t capture attendance patterns or behavioral issues that affect staying in school. Test scores or standardized tests alone ignore day-to-day engagement and progress toward graduation. Putting all three together gives a more accurate early warning and better direction for targeted interventions like tutoring, attendance support, and behavioral or counseling services.

A multi-factor approach that includes attendance, credits earned, and behavioral incidents provides the clearest signal of which students are at risk for dropping out. Attendance shows how consistently a student is present; frequent or chronic absences disrupt learning and strongly predict disengagement. Credits earned reflect progress toward graduation—if a student isn’t accumulating enough credits, they’re unlikely to meet graduation requirements on time. Behavioral incidents reveal ongoing engagement challenges and the need for support; persistent behavior problems are often linked to higher dropout risk.

Relying on any single data source misses important pieces of the picture. Attendance alone can miss students who attend but fall behind academically or struggle with behavior. Credits earned alone don’t capture attendance patterns or behavioral issues that affect staying in school. Test scores or standardized tests alone ignore day-to-day engagement and progress toward graduation. Putting all three together gives a more accurate early warning and better direction for targeted interventions like tutoring, attendance support, and behavioral or counseling services.