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Related Experiment Video

Updated: May 23, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

Quantitative integration of single-subject studies: Methods and misinterpretations.

S H Kollins, M C Newland, T S Critchfield

    The Behavior Analyst
    |April 6, 2012
    PubMed
    Summary
    This summary is machine-generated.

    This study defends a quantitative technique for integrating single-subject data, arguing it offers behavior analysts a valuable tool for cross-study comparisons without compromising scientific integrity. Empirical investigation remains the best method to challenge findings.

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    Last Updated: May 23, 2026

    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
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    Published on: November 27, 2019

    Area of Science:

    • Behavior Analysis
    • Quantitative Research Methods

    Background:

    • Derenne and Baron (1999) criticized Kollins, Newland, and Critchfield's (1997) quantitative literature review.
    • Key criticisms focused on the integration of single-subject data and the appropriateness of meta-analysis.

    Purpose of the Study:

    • To respond to criticisms regarding the quantitative integration of single-subject data.
    • To assert the validity and utility of a novel quantitative technique for behavior analysis.

    Main Methods:

    • The study presents a defense of a quantitative technique for integrating single-subject data.
    • It contrasts this technique with traditional meta-analysis, highlighting its unique application within behavior analysis.

    Main Results:

    • The authors argue their quantitative technique, while inspired by meta-analysis, is distinct and suitable for behavior analysts.
    • They contend that criticisms by Derenne and Baron were largely inaccurate or irrelevant.

    Conclusions:

    • Meaningful quantitative techniques exist for analyzing single-subject data across studies without undermining behavior analysis principles.
    • Empirical investigation is the most constructive approach for challenging scientific findings.