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Using item-level analyses to better understand the consequences of partialing procedures: An example using the Dark
Colin E Vize1, Katherine L Collison1, Joshua D Miller2
1Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA.
Journal of Personality
|October 26, 2019
Summary
Partialing procedures in psychological research show low replicability for residual variables. This study found inconsistent residual content across samples, questioning the reliability of these methods.
Area of Science:
- Psychological research methodology
- Personality psychology
- Quantitative psychology
Background:
- Partialing procedures are common in psychological research for controlling variables.
- Replicability of results derived from partialing is crucial for scientific validity.
- The Dark Triad (DT) measures are frequently used in personality research.
Purpose of the Study:
- To investigate the replicability of partialing procedures in psychological research.
- To examine the consistency of residual variable content across different samples.
- To assess the impact of sample size on the replicability of partialing-based results.
Main Methods:
- Utilized popular Dark Triad (DT) scales (Machiavellianism, narcissism, psychopathy).
- Compared residual content of DT scales across different sample sizes (Small, Moderate, Large) drawn from a larger MTurk sample.
- Analyzed residual variable content using individual items from the IPIP-NEO-120 for finer-grained analysis.
Main Results:
- Observed low convergence between original and residual DT scales within samples.
- Found that the content of residual Dirty Dozen scales was not similar across different samples.
- Identified comparable results for the short Dark Triad-Machiavellianism scale only in moderate and small samples.
Conclusions:
- Partialing procedures present significant issues, particularly concerning the replicability of residual variables.
- The study highlights the need for further research into the reliability of residual-based findings.
- Researchers should exercise caution when interpreting results derived from partialing methods.
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