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Related Experiment Video

Updated: May 31, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

Inferential methods for comparing two single cases.

John R Crawford¹, Paul H Garthwaite, Liam T Wood

¹School of Psychology, College of Life Sciences and Medicine, King's College, University of Aberdeen, Aberdeen, UK. j.crawford@abdn.ac.uk

Cognitive Neuropsychology

|July 2, 2011

Summary

This summary is machine-generated.

Researchers can now compare neuropsychological single-case studies using novel statistical methods. These methods reference scores to a control sample, offering robust analysis for individual case comparisons.

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Area of Science:

Neuropsychology
Statistics
Psychometrics

Background:

Comparing scores of two single cases is common in neuropsychological research.
Existing methods lack a reference to a control sample for score comparison.

Purpose of the Study:

To introduce novel statistical methods for comparing two single cases in neuropsychology.
To provide a framework for score comparison with or without covariates.
To offer hypothesis testing and effect size estimation.

Main Methods:

Development of classical and Bayesian statistical methods.
Referencing scores of two single cases to a control sample.
Incorporation of covariate analysis.
Monte Carlo simulations for validation.

Main Results:

The developed methods allow for hypothesis testing (one- or two-tailed).
Point and interval estimates for effect size and percentage of control pairs with larger differences are provided.
Monte Carlo simulations confirm the statistical theory's soundness and method robustness.

Conclusions:

The new methods offer a statistically sound and robust approach for comparing two single cases in neuropsychology.
These methods are implemented in user-friendly computer programs, enhancing accessibility for researchers.
The approach provides a valuable tool for advancing single-case study analysis in the field.