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Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation
Gina L Mazza1, Heather L Smyth2, Patrick G Bissett3
1Department of Health Sciences Research, Mayo Clinic, Scottsdale, AZ.
Journal of Personality Assessment
|March 10, 2020
Summary
This study found that self-report surveys and cognitive tasks assessing self-regulation show low correlations, suggesting they measure different constructs. This highlights the need for careful selection of self-regulation measures in research.
Area of Science:
- Psychology (various subfields)
- Neuroscience
- Medicine
- Economics
Background:
- Self-regulation is a widely studied concept across multiple disciplines.
- Existing research shows confusion regarding self-regulation constructs and measurement tools.
- Cross-disciplinary integration of self-regulation measures is needed.
Purpose of the Study:
- To assess the convergent and discriminant validity of diverse self-regulation measures.
- To examine the relationships between self-report surveys and cognitive tasks for self-regulation.
- To provide a database for integrating cross-disciplinary self-regulation research.
Main Methods:
- Correlational analysis (product-moment and distance) of 60 self-regulation measures.
- Inclusion of 23 self-report surveys and 37 cognitive tasks.
- Data collected from 522 participants, including health and substance use measures.
Main Results:
- Self-report surveys demonstrated better convergent validity compared to cognitive tasks.
- Weak correlations were found between variables from surveys and cognitive tasks (M=.049 product-moment, M=.085 distance).
- This challenges the assumption that these different measure types assess the same self-regulation construct.
Conclusions:
- Self-report surveys and cognitive tasks may not capture the same aspects of self-regulation.
- Researchers should carefully consider the specific construct and measurement method when studying self-regulation.
- The study provides a valuable public database for future cross-disciplinary research on self-regulation.
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