Optimal Evaluation Policies to Identify Students with Reading Disabilities.

Area of Science:

• Education
• Psychology
• Public Health

Background:

• Reading disabilities impact 10-20% of US students, leading to poor long-term outcomes if untreated.
• Early instructional interventions are most effective, necessitating timely identification of at-risk students.
• Inexpensive screening tests identify students needing costly diagnostic evaluations, but their accuracy is often debated across grade levels.

Purpose of the Study:

• To examine how school administrators can optimize evaluation policies for reading disabilities.
• To maximize student benefits from early intervention and ensure equitable resource allocation.
• To challenge conventional wisdom regarding screening test accuracy and its implications for policy.

Main Methods:

• Modeling student identification using a time-dependent Bernoulli process.
• Incorporating screening test accuracy and intervention benefits across different grade levels.
• Empirically estimating parameters with longitudinal data from Florida school districts.

Main Results:

• Contrary to conventional wisdom, screening test accuracy for reading disabilities does not increase with grade level.
• To maximize benefits, schools should evaluate as many students as budgets allow, as early as possible.
• This early and broad evaluation policy also maximizes equitable allocation at current budget levels.

Conclusions:

• Schools should prioritize early and frequent student evaluations for reading disabilities, irrespective of grade level, within budget constraints.
• Policy changes that ease legal obligations for evaluations can significantly increase benefits and reduce disparities without additional funding.
• Actionable insights are provided for administrators and policymakers to improve identification processes and resource allocation for reading interventions.