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Identifying Careless Responding With the Psychopathic Personality Inventory-Revised Validity Scales
David K Marcus1, Abere Sawaqdeh Church1, Debra O'Connell1
11 Washington State University, Pullman, WA, USA.
The Deviant Responding (DR) scale on the Psychopathic Personality Inventory-Revised (PPI-R) effectively identifies careless responding in online studies. Elevated DR scores indicate unreliable data, suggesting researchers screen these participants.
Area of Science:
- Psychology
- Forensic Psychology
- Clinical Psychology
Background:
- The Psychopathic Personality Inventory-Revised (PPI-R) is a widely used measure of psychopathic traits.
- Online data collection is increasingly common but raises concerns about response validity.
- The PPI-R includes validity scales to detect problematic responding, such as Deviant Responding (DR).
Purpose of the Study:
- To evaluate the effectiveness of the PPI-R validity scales, particularly the DR scale, in identifying careless responding in online samples.
- To determine if elevated scores on PPI-R validity scales correlate with reduced validity of psychopathy measures.
Main Methods:
- Two online studies with college students (N=583 and N=454) were conducted.
- Participants completed the PPI-R and the Triarchic Psychopathy Measure.
- The utility of PPI-R validity scales (DR, Virtuous Responding, Inconsistent Responding) for detecting invalid data was assessed.
Main Results:
- Respondents scoring above the cut-off on the DR scale showed consistently lower validity coefficients when correlating PPI-R scores with the Triarchic Psychopathy Measure.
- The DR scale was more effective than other PPI-R validity scales in identifying careless responding.
- Participants completing the study quickly scored higher on DR and Virtuous Responding scales.
Conclusions:
- The Deviant Responding (DR) scale of the PPI-R is a useful tool for identifying careless responders in online research.
- Researchers using the PPI-R in online settings should consider screening participants with high DR scores to ensure data quality.
- Careless responding can significantly attenuate validity coefficients, highlighting the importance of response monitoring.
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