Morgan Sissons Victoria University of Wellington

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Morgan Sissons Victoria University of Wellington Can Psychopathology Profiles Help Detect Self-Report Bias in the Prediction of Criminal Behaviour? Morgan Sissons Victoria University of Wellington

Outline Self-report Bias in Criminal Justice Settings Detection of Self-Report Bias Self-Report Bias and Offender Psychopathology Profiles

Self-report Bias Offender self-report “there is no reason to assume that a suspected criminal or prison inmate will reveal anything of real clinical significance about himself on a questionnaire or during an interview, or that his replies will be related to actual behaviour in any consistent fashion” Hare (1985, p157)

Sources of Self-report Bias Deliberate symptom exaggeration or minimisation. Impression Management, Malingering Mitigating factors at trial Parole assessment

Sources of Self-report Bias Unintentional biases: Lack of self-knowledge Not understanding the questions/ambiguity Situational biases (e.g. mood induction)

Detection of Biased Responding Self-other comparisons: Compare self-report to more objective information from Therapist Friend Official records

Detection of Biased Responding Validity indices: measures specifically designed to detect invalid responding. Invalid reports either discarded, or the variance associated with reporting bias is statistically controlled for.

Problems with Validity Indices High scores on measures of invalid responding do not always indicate that reports are invalid. Controlling for self-presentation may reduce the predictive validity of some measures

Trait Self-presentation Reframing: Self-report bias may be better understood as a trait-like quality, rather than a bias that can be removed to improve validity of self-reported symptoms. Positive self-presentation linked to better mental health and less criminal behaviour.

Psychopathology & Self-Presentation Self-presentation in criteria for psychological disorders: Depression Narcissism

The Current Research My research looks at self-presentation biases in relation to psychopathology profiles, to see whether different profiles are associated with different biases, and the implications for interpreting self-report.

Sample N = 540 Rehabilitation Programme Participants Selection Criteria: Risk Participation Voluntary Security level

Millon Clinical Multiaxial Inventory III (MCMI-III) Clinical Personality Schizoid Avoidant Depressive Dependent Histrionic Narcissistic Antisocial Sadistic Compulsive Passive-Aggressive Masochistic Schizotypal Borderline Paranoid Clinical Syndrome Anxiety Somatoform Bipolar:manic Dysthymia Alcohol dependence Drug dependence Post-traumatic stress disorder Thought disorder Major depression Delusional disorder

Method Millon Clinical Multiaxial Inventory III (MCMI-III) Principal Components Analysis Cluster Analysis Profile 1 Profile 2 Profile 3

Profile 1 – antisocial-narcissistic

Profile 2 – high-psychopathology

Profile 3 – low-psychopathology

Self-presentation in offender psychopathology profiles Previous Research Validity Indices Predictive Validity

Self-presentation in offender psychopathology profiles More self-reported psychopathology linked to less positive self-presentation Narcissism linked to positive self-presentation

Validity Indices BIDR – Socially Desirable Responding Self-Deceptive Enhancement: F(2,147) = 19.76, p < 0.01 Impression Management: F(2,147) = 20.61, p < 0.01

Validity Indices MCMI-III Validity indices Disclosure: F(2,538) = 349.99, p < 0.01 Desirability: F(2,538) = 174.70, p < 0.01 Debasement: F(2,538) = 445.43, p < 0.01

Predictive Validity of Self-Report SAQ: risk AQ: aggression STAXI: trait anger Re-offending Reconviction Re-imprisonment

Correlation: whole sample Correlations between self-report measures and recidivism outcomes   n Reconviction Re-imprisonment SAQ (risk) 81 0.25* 0.15 AQ (aggression) 172 0.13 0.1 STAXI (trait anger) 222 0.08 0.06 Note. *p < .05, ** p < .01

Correlation: high-psychopathology Correlations between self-report measures and recidivism outcomes   n Reconviction Re-imprisonment SAQ (risk) 24 0.59** 0.51* AQ (aggression) 69 0.29* 0.30* STAXI (trait anger) 91 0.2 0.21* Note. *p < .05, ** p < .01

Correlation: antisocial/narcissistic Correlations between self-report measures and recidivism outcomes   n Reconviction Re-imprisonment SAQ (risk) 32 -0.12 -0.15 AQ (aggression) 64 -0.16 -0.22 STAXI (trait anger) 85 -0.25* -0.21 Note. *p < .05, ** p < .01

Correlation: low-psychopathology Correlations between self-report measures and recidivism outcomes   n Reconviction Re-imprisonment SAQ (risk) 25 0.31 0.33 AQ (aggression) 39 0.11 0.24 STAXI (trait anger) 46 0.19 0.16 Note. *p < .05, ** p < .01

Can psychopathology profiles help detect self-report bias in the prediction of criminal behaviour?

Summary Future Research High-psychopathology = predictive self-report Antisocial/Narcissistic = invalid self-report Relationship to self-presentation style? Future Research Role of self-presentation style Trait vs. State self-report bias Clinician ratings of psychopathology

Acknowledgements The New Zealand Department of Corrections Dr Devon Polaschek The Criminal Psychology Lab