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Updated: Jun 13, 2026

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Reaggregate Thymus Cultures
Published on: August 28, 2008
Comment on Anderson and Ones (in press)
Lewis R Goldberg1, Kibeom Lee, Michael C Ashton
1Oregon Research Institute, Eugene, Oregon, USA.
European Journal of Personality
|May 1, 2010
Summary
This study identifies significant scoring errors in the Hogan Personality Inventory (HPI), Occupational Personality Questionnaire (OPQ), and Business and Personality Inventory (BPI) scales. We recommend retracting two previously published articles due to these critical data inaccuracies.
Area of Science:
- Psychological assessment
- Measurement in psychology
- Research integrity
Background:
- Concerns regarding scoring accuracy in psychological inventories.
- Previous erratum and addendum by Anderson and Ones (this issue) lacked clarity on scoring discrepancies.
- Potential impact of scoring errors on published research findings.
Purpose of the Study:
- To unambiguously demonstrate scoring errors in the Hogan Personality Inventory (HPI), Occupational Personality Questionnaire (OPQ), and Business and Personality Inventory (BPI).
- To provide evidence for the retraction of specific articles by Anderson and Ones (2003) and Ones and Anderson (2002).
Main Methods:
- Detailed analysis of scoring procedures for HPI, OPQ, and BPI scales.
- Comparison of participant scores across different inventories to identify mismatches.
- Re-evaluation of scoring methodologies to detect undetected errors.
Main Results:
- Confirmation of incorrectly matched HPI scale scores with other inventory scales.
- Identification of additional, previously unmentioned scoring errors in the OPQ and BPI scales.
- Substantial evidence of data inaccuracies in the analyzed studies.
Conclusions:
- The scoring errors identified are critical and compromise the validity of the findings in the implicated studies.
- Retraction of Anderson and Ones (2003) and Ones and Anderson (2002) is recommended due to significant methodological flaws.
- Upholding research integrity necessitates addressing and correcting data scoring errors.
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