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

S H Kollins, M C Newland, T S Critchfield

The Behavior Analyst

|April 6, 2012

Summary

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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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.