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Current tests and trends in single-case neuropsychology
Robert D McIntosh1, Joanna L Brooks
1Human Cognitive Neuroscience, Psychology, University of Edinburgh, UK. r.d.mcintosh@ed.ac.uk
New Bayesian statistical tests allow researchers to analyze single-case studies with covariates. This advancement enhances the rigor and cross-comparability of single-case research, promoting wider adoption of advanced statistical methods.
Area of Science:
- Neuroscience
- Statistics
- Psychology
Background:
- Single-case research is crucial for understanding individual patient responses.
- Statistical methods in single-case research have evolved significantly.
- Crawford and colleagues have made substantial contributions to statistical refinements over 12 years.
Purpose of the Study:
- To provide context for new Bayesian statistical tests for single-case research.
- To evaluate the current state and rigor of single-case research.
- To highlight the impact of statistical refinements on current practices.
Main Methods:
- Audit of Cortex archives to trace the development of statistical methods.
- Review of single-case research practices and their evolution.
- Introduction of new Bayesian statistical tests accounting for covariates.
Main Results:
- Single-case research is robust and increasingly rigorous.
- Statistical refinements have significantly shaped current practices.
- New Bayesian tests offer advantages for analyzing single patients against control samples with covariates.
Conclusions:
- There is a need for further standardization in statistical methods and reporting.
- The new Bayesian tests are expected to increase the use of appropriate statistical methods.
- These advancements will improve the validity and cross-comparability of single-case studies.
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