Practical Analyses to Support Data-Based Decision Making in RTI (OS073)

  • PMD: 1,9
  • Skill Level: Intermediate
  • Session 4: Assessment and Intervention in an RTI Framework
  • Live Chat:
    (Posters available on demand at any time during the convention week and for sixty days thereafter.)

Learner Objectives

This session will help participants…

  1. analyze the classification accuracy of a math universal screening tool and methods for maximizing identification accuracy.
  2. evaluate the effectiveness of a reading intervention using multiple indicators and routinely collected data.
  3. identify appropriate measures for progress monitoring in reading by comparing estimates of growth across time.


Effective response to intervention (RTI) requires practical analyses to enhance data-based decision making (DBDM). This paper presents three applications of DBDM in RTI using data routinely collected by schools. The first paper investigates classification accuracy of a mathematics screener; the second paper evaluates the effects of reading interventions, and the third examines differences in progress monitoring data based on the measures used. Attendees will gain knowledge and initial skills in the practical analyses featured.



Robin L. Hojnoski, Lehigh University
Olivia L. Rich, Lehigh University
Amanda M. Campanaro, Lehigh University


Ethan R. Van Norman, Megan Turner

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