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Equivalence class formation: a method for teaching statistical interactions.

Lanny Fields1, Robert Travis, Deborah Roy

  • 1Graduate Center of The City University of New York, and Department of Psychology, Queens College/CUNY, 65-30 Kissena Boulevard, Flushing, New York 11367, USA. Lanny.Fields@QC.cuny.edu

Journal of Applied Behavior Analysis
|March 2, 2010
PubMed
Summary
This summary is machine-generated.

This study shows that teaching statistical interactions using equivalence classes improves students' test scores. This behavioral approach enhances understanding and performance on novel problems.

Keywords:
college studentscomputer-based trainingequivalence classesgeneralization to novel exemplars

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Area of Science:

  • Behavioral Psychology
  • Educational Psychology
  • Statistics Education

Background:

  • Many students find statistical concepts, particularly interaction, challenging.
  • Traditional teaching methods may not effectively address these difficulties.
  • Equivalence-based instruction offers a novel approach to learning complex concepts.

Purpose of the Study:

  • To investigate the efficacy of equivalence-based instruction in teaching statistical interaction.
  • To assess whether this method improves students' performance on statistical tests.
  • To determine if learned concepts generalize to new problems and formats.

Main Methods:

  • Participants were divided into experimental and control groups.
  • The experimental group received equivalence-based training on statistical interactions.
  • Both groups completed paper-and-pencil tests before and after the intervention.

Main Results:

  • Experimental group participants showed significant increases in test scores post-training.
  • Learned concepts generalized to novel examples and question formats.
  • Control group scores did not change significantly with repeated testing.

Conclusions:

  • Equivalence-based instruction is an effective method for teaching statistical interaction.
  • This approach can lead to improved understanding and generalized application of statistical concepts.
  • Findings suggest potential applications in educational technology and behavioral diagnostics.