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Sources of Self-Esteem II: Performance Feedback01:24

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Updated: Jun 27, 2026

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
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Published on: September 11, 2021

Using performance feedback to enhance implementation fidelity of the problem-solving team process.

Matthew K Burns1, Rebecca Peters, George H Noell

  • 1University of Minnesota, Minnesota, USA. burns258@umn.edu

Journal of School Psychology
|December 17, 2008
PubMed
Summary
This summary is machine-generated.

Performance feedback improved implementation integrity for problem-solving teams (PSTs). However, PSTs did not fully adopt all data-based problem-solving components, indicating a need for further research on fidelity enhancement.

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Last Updated: Jun 27, 2026

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Published on: September 11, 2021

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Area of Science:

  • Educational Psychology
  • Implementation Science

Background:

  • Implementation integrity is crucial for the effectiveness of problem-solving teams (PSTs) and response-to-intervention models.
  • Performance feedback is a known strategy to enhance implementation integrity.

Purpose of the Study:

  • To investigate if performance feedback improves procedural integrity in PSTs.
  • To determine if feedback enhances the use of data-based problem-solving components.

Main Methods:

  • A multiple-baseline design across three elementary schools was employed.
  • Problem-solving teams (PSTs) received performance feedback using a 20-item checklist derived from literature.
  • Implementation integrity was measured using a checklist.

Main Results:

  • Performance feedback led to an immediate increase in implementation integrity, with non-overlapping data percentages of 90.9%, 90.0%, and 100%.
  • Despite feedback, PSTs did not consistently monitor student progress, assess intervention effectiveness, or measure implementation fidelity.

Conclusions:

  • Performance feedback can enhance the fidelity of critical data-based problem-solving components.
  • Additional research is necessary to fully understand and improve PSTs' adherence to all aspects of data-based problem-solving.