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Commentary on Slocum et al. (2022): Additional Considerations for Evaluating Experimental Control.

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Nonconcurrent multiple baseline designs offer strong internal validity, comparable to concurrent designs. A nuanced approach to evaluating experimental design strength is recommended for behavior analytic research.

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Area of Science:

  • Behavior Analysis
  • Research Methodology
  • Experimental Design

Background:

  • Slocum et al. (2022) proposed nonconcurrent multiple baseline designs (NCMBDs) offer internal validity similar to concurrent multiple baseline designs (CMBDs).
  • Previous research has debated the internal validity and utility of NCMBDs compared to CMBDs.
  • Evaluating the strength of experimental designs requires careful consideration of their ability to establish valid and accurate results.

Purpose of the Study:

  • To provide further support for the assertion that NCMBDs possess internal validity comparable to CMBDs.
  • To advocate for a more nuanced approach in evaluating the strength of experimental designs, moving beyond strict adherence to rules.
  • To explore additional considerations for determining the relative strengths of NCMBDs and CMBDs.

Main Methods:

  • The study offers theoretical arguments and logical extensions of previous findings.
  • It emphasizes the low probability of within-tier comparisons failing to detect confounds in NCMBDs.
  • The authors extend existing logic to question the necessity of staggered implementation in all NCMBD cases.

Main Results:

  • Further empirical and theoretical support is provided for the internal validity of NCMBDs.
  • The analysis suggests that staggering the independent variable implementation across tiers may not always be necessary.
  • An argument is presented that NCMBDs can provide verification within baseline logic, contrary to some prior claims.

Conclusions:

  • NCMBDs can achieve high internal validity, comparable to CMBDs, when implemented thoughtfully.
  • A flexible, nuanced approach to design evaluation is more beneficial than rigid adherence to specific design features.
  • While supporting NCMBDs, the authors acknowledge that CMBDs may facilitate broader dissemination in some contexts.