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Factorial ABA Design/Evidence
Method evidence record

Factorial ABA Design

The Factorial ABA design embeds a factorial treatment structure within the ABA reversal framework. Rather than testing a single treatment against baseline, the researcher systematically varies two or more independent variables (factors) across treatment phases, using the ABA withdrawal logic to establish experimental control. This makes it possible to examine main effects and interactions among treatment components within a single-case or small-N experimental context.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Factorial ABA Reversal Design
Taxonomic method record · process-pipeline / experimental-design
  • Kratochwill, T. R., & Levin, J. R. (Eds.). (2010). Single-Case Intervention Research: Methodological and Statistical Advances. American Psychological Association. · ISBN 978-1433807909
  • Kennedy, C. H. (2005). Single-Case Designs for Educational Research. Allyn & Bacon. · ISBN 978-0205332014
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Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketABA Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketABAB designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFactorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFactorial Single-Subject Experimental Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultiple Baseline Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSingle-Subject Experimental Designmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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