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Intelligence and psychopathy: a correlational study on insane female offenders

Published online by Cambridge University Press:  03 April 2013

C. Spironelli ,
D. Segrè ,
L. Stegagno  and
A. Angrilli
C. Spironelli
Affiliation:
Department of General Psychology, University of Padova, Italy
D. Segrè
Affiliation:
Department of General Psychology, University of Padova, Italy
L. Stegagno
Affiliation:
Department of General Psychology, University of Padova, Italy
A. Angrilli*
Affiliation:
Department of General Psychology, University of Padova, Italy CNR Institute of Neuroscience, Padova, Italy
*
* Address for correspondence: Professor A. Angrilli, Ph.D., Department of General Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy. (Email: [email protected])
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Abstract

Background

The occurrence of a significant relationship between psychopathic traits and intelligence is still open to debate. Most of the relevant information has been obtained from crystallized IQ tests or on psychopathic male offenders. In this study we hypothesized a negative correlation between psychopathic traits and fluid intelligence on a sample of criminal female in-patients.

Method

We carried out a correlational study on a selected sample of 56 criminal female offenders. Variables that were measured include the Hare Psychopathy Checklist Revised (PCL-R) total score (and, separately, the scores from its four subscales: Interpersonal, Affective, Lifestyle and Antisocial) and fluid IQ measured by Raven's Progressive Matrices (RPM).

Results

Pearson's correlation between RPM IQ and total PCL-R score was negative (r54 = − 0.55, p < 0.001); women with greater psychopathy traits (total PCL-R score) had lower IQ scores. Negative correlations were also found between IQ and the four PCL-R subscales, Interpersonal, Affective, Lifestyle and Antisocial (r54 = − 0.35, p < 0.01, r54 = − 0.52, p < 0.001, r54 = − 0.53, p < 0.001, and r54 = − 0.49, p < 0.001 respectively).

Conclusions

The results indicate a general negative relationship between PCL-R and IQ, equally distributed across the four subcomponents of the psychopathic trait, and support the view that unsuccessful psychopathic women have poor planning and are unable to foresee and represent future consequences of their actions.

Keywords

IntelligencePCL-Rpsychopathic womenRaven's Progressive Matricesviolence
Type
Original Articles
Information
Psychological Medicine , Volume 44 , Issue 1 , January 2014 , pp. 111 - 116
Copyright
Copyright © Cambridge University Press 2013 

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References

Angrilli, A, Bianchin, M, Radaelli, S, Bertagnoni, G, Pertile, M (2008). Reduced startle reflex and aversive noise perception in patients with orbitofrontal cortex lesions. Neuropsychologia 46, 1179–1184.Google Scholar
Angrilli, A, Palomba, D, Cantagallo, A, Maietti, A, Stegagno, L (1999). Emotional impairment after right orbitofrontal lesion in a patient without cognitive deficits. Neuroreport 10, 1741–1746.Google Scholar
Barbey, AK, Colom, R, Solomon, J, Krueger, F, Forbes, C, Grafman, J (2012). An integrative architecture for general intelligence and executive function revealed by lesion mapping. Brain 135, 1154–1164.Google Scholar
Blair, RJR (1995). A cognitive developmental approach to morality: investigating the psychopath. Cognition 57, 1–29.Google Scholar
Blair, RJR, Cipolotti, L (2000). Impaired social response reversal. A case of ‘acquired sociopathy’. Brain 123, 1122–1141.Google Scholar
Burke, HR (1972). Raven's Progressive Matrices: validity, reliability, and norms. Journal of Psychology 82, 253–257.Google Scholar
Cleckley, HM (1976). The Mask of Sanity, 5th edn. Mosby: St Louis.Google Scholar
DeLisi, M, Vaughn, MG, Beaver, KM, Wright, JP (2010). The Hannibal Lecter myth: psychopathy and verbal intelligence in the MacArthur Violence Risk Assessment Study. Journal of Psychopathology and Behavioral Assessment 32, 169–177.Google Scholar
Duncan, J, Emslie, H, Williams, P, Johnson, R, Freer, C (1996). Intelligence and the frontal lobe: the organization of goal-directed behavior. Cognitive Psychology 30, 257–303.Google Scholar
Eslinger, PJ, Damasio, AR (1985). Severe disturbance of higher cognition after bilateral frontal lobe ablation: patient EVR. Neurology 35, 1731–1741.Google Scholar
Gordon, HL, Baird, AA, End, A (2004). Functional differences among those high and low on a trait measure of psychopathy. Biological Psychiatry 56, 516–521.Google Scholar
Gorenstein, EE (1982). Frontal lobe functions in psychopaths. Journal of Abnormal Psychology 91, 368–379.Google Scholar
Hare, RD (1996). Psychopathy: a construct whose time has come. Criminal Justice and Behavior 23, 25–54.Google Scholar
Hare, RD (1999). Without Conscience: The Disturbing World of the Psychopaths Among Us. Guilford Press: New York.Google Scholar
Hare, RD (2003). Hare Psychopathy Checklist-Revised (PCL-R), 2nd edition. Multi-Health Systems: Toronto.Google Scholar
Hare, RD, Neumann, CS (2006). The PCL-R assessment of psychopathy: development, structural properties, and new directions. In Handbook of Psychopathy (ed. Patrick, C. J.), pp. 58–88. Guilford Press: New York.Google Scholar
Harpur, TJ, Hakstian, AR, Hare, RD (1988). The factor structure of the Psychopathy Checklist. Journal of Consulting and Clinical Psychology 56, 741–747.Google Scholar
Hart, SD, Hare, RD (1996). Psychopathy and antisocial personality disorder. Current Opinion in Psychiatry 92, 129–132.Google Scholar
Heilbrun, AB Jr. (1982). Cognitive models of criminal violence based upon intelligence and psychopathy levels. Journal of Consulting and Clinical Psychology 50, 546–557.Google Scholar
Holland, TR, Beckett, GE, Levi, M (1981). Intelligence, personality and criminal violence: a multivariate analysis. Journal of Consulting and Clinical Psychology 49, 106–111.Google Scholar
Kiehl, K (2006). A cognitive neuroscience perspective on psychopathy: evidence for paralimbic system dysfunction. Psychiatry Research 142, 107–128.Google Scholar
Koenigs, M, Kruepke, M, Newman, JP (2010). Economic decision-making in psychopathy: a comparison with ventromedial prefrontal lesion patients. Neuropsychologia 48, 2198–2204.Google Scholar
Lykken, DT (1995). The Antisocial Personalities. Erlbaum: Hillsdale.Google Scholar
McLeod, HN, Rubin, J (1962). Correlation between Raven Progressive Matrices and the WAIS. Journal of Consulting Psychology 26, 190.Google Scholar
Nicholls, TL, Ogloff, JRP, Brink, J, Spidel, A (2005). Psychopathy in women: a review of its clinical usefulness for assessing risk for aggression and criminality. Behavioral Sciences and the Law 23, 779–802.Google Scholar
Raven, JC (1938). Progressive Matrices: A Perceptual Test of Intelligence. H.K. Lewis: London.Google Scholar
Raven, JC (1999). SPM – Standard Progressive Matrices. Series A, B, C, D, E (Manual) [in Italian] . Organizzazioni Speciali: Firenze.Google Scholar
Shallice, T, Burgess, PW (1991). Deficits in strategy application following frontal lobe damage in man. Brain 114, 727–741.Google Scholar
Vitacco, MJ, Neumann, CS, Wodushek, T (2008). Differential relationships between the dimensions of psychopathy and intelligence. Replication with adult jail inmates. Criminal Justice and Behavior 35, 48–55.Google Scholar
Vitale, JE, Smith, SS, Brinkley, CA, Newman, JP (2002). The reliability and validity of the Psychopathy Checklist-Revised in a sample of female offenders. Criminal Justice and Behavior 29, 202–231.Google Scholar
Walsh, Z, Swogger, MT, Kosson, D (2004). Psychopathy, IQ and violence in European American and African American county jail inmates. Journal of Consulting and Clinical Psychology 72, 1165–1169.Google Scholar
Yang, Y, Raine, A, Lencz, T, Bihrle, S, LaCasse, L, Colletti, P (2005). Volume reduction in prefrontal gray matter in unsuccessful criminal psychopaths. Biological Psychiatry 57, 1103–1108.Google Scholar