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The Metacognitive Anger Processing (MAP) Scale – Validation in a Mixed Clinical and a Forensic In-Patient Sample

Published online by Cambridge University Press:  25 March 2018

Stine Bjerrum Moeller Open the ORCID record for Stine Bjerrum Moeller [Opens in a new window]  and
Per Bech
Stine Bjerrum Moeller*
Affiliation:
Department of Psychology, University of Copenhagen
Per Bech
Affiliation:
Psychiatric Research Unit, Mental Health Centre North Zealand
*
Correspondence to Stine Bjerrum Moeller, Psychiatric Research Unit, Mental Health Centre North Zealand, Dyrehavevej 48, DK-3400 Hilleroed, Denmark. E-mail: Stine.Bjerrum.Moeller@regionh.dk
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Abstract

Background: The metacognitive approach by Wells and colleagues has gained empirical support with a broad range of symptoms. The Metacognitive Anger Processing (MAP) scale was developed to provide a metacognitive measure on anger (Moeller, 2016). In the preliminary validation, three components were identified (positive beliefs, negative beliefs and rumination) to be positively correlated with the anger. Aims: To validate the MAP in a sample of mixed clinical patients (n = 88) and a sample of male forensic patients (n = 54). Method: The MAP was administered together with measures of metacognition, anger, rumination, anxiety and depressive symptoms. Results: The MAP showed acceptable scalability and excellent reliability. Convergent validity was evidenced using the general metacognitive measure (MCQ-30), and concurrent validity was supported using two different anger measures (STAXI-2 and NAS). Conclusions: The MAP has promising potential to assess anger regulation problems by providing a framework on angry rumination as well as the belief structures that proposedly drive the selection of this maladaptive processing strategy as suggested in the metacognitive model. These findings may have implications for clinical interventions. For example, conducting functional analyses on anger rumination could increase the understanding of dysregulated anger processing and lead to new interventions focused on shifting thinking style.

Keywords

clinical and forensic patientsmetacognitive beliefsanger ruminationanger dysregulationmetacognitive measure
Type
Research Article
Information
Behavioural and Cognitive Psychotherapy , Volume 47 , Issue 1 , January 2019 , pp. 67 - 80
Copyright
Copyright © British Association for Behavioural and Cognitive Psychotherapies 2018 

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References

Archer, J. and Haigh, A. (1997a). Beliefs about aggression among male and female prisoners. Aggressive Behavior, 23, 405–415.Google Scholar
Archer, J. and Haigh, A. M. (1997b). Do beliefs about aggressive feelings and actions predict reported levels of aggression? British Journal of Social Psychology, 36, 83–105. doi: 10.1111/j.2044-8309.1997.tb01120.xGoogle Scholar
Austin, S. F., Mors, O., Nordentoft, M., Hjorthøj, C. R., Secher, R. G., Hesse, M. et al. (2015). Schizophrenia and metacognition: an investigation of course of illness and metacognitive beliefs within a first episode psychosis. Cognitive Therapy and Research, 39, 61–69.Google Scholar
Bailey, C. A. and Ostrov, J. M. (2008). Differentiating forms and functions of aggression in emerging adults: associations with hostile attribution biases and normative beliefs. Journal of Youth and Adolescence, 37, 713–722.Google Scholar
Bech, P. (2012). Clinical Psychometrics. John Wiley and Sons.Google Scholar
Bellmore, A. D., Witkow, M. R., Graham, S. and Juvonen, J. (2005). From beliefs to behavior: the mediating role of hostile response selection in predicting aggression. Aggressive Behavior, 31, 453–472. doi: 10.1002/ab.20094Google Scholar
Bjelland, I., Dahl, A. A., Haug, T. T. and Neckelmann, D. (2002). The validity of the hospital anxiety and depression scale: an updated literature review. Journal of Psychosomatic Research, 52, 69–77. doi: http://dx.doi.org/10.1016/S0022-3999(01)00296-3Google Scholar
Cartwright-Hatton, S. and Wells, A. (1997). Beliefs about worry and intrusions: the meta-cognitions questionnaire and its correlates. Journal of Anxiety Disorders, 11, 279–296. doi: http://dx.doi.org/10.1016/S0887-6185(97)00011-XGoogle Scholar
Cosco, T. D., Doyle, F., Ward, M. and McGee, H. (2012). Latent structure of the Hospital Anxiety and Depression Scale: a 10-year systematic review. Journal of Psychosomatic Research, 72, 180–184.Google Scholar
Davey, L., Day, A. and Howells, K. (2005). Anger, over-control and serious violent offending. Aggression and Violent Behavior, 10, 624–635. doi: http://dx.doi.org/10.1016/j.avb.2004.12.002Google Scholar
Denson, T. F. (2013). The multiple systems model of angry rumination. Personality and Social Psychology Review, 17, 103–123. doi: 10.1177/1088868312467086Google Scholar
Denson, T. F., Pedersen, W. C. and Miller, N. (2006). The displaced aggression questionnaire. Journal of Personality and Social Psychology, 90, 1032–1051. doi: 10.1037/0022-3514.90.6.1032Google Scholar
DiGiuseppe, R. and Tafrate, R. C. (2007). Understanding Anger Disorders. Oxford University Press.Google Scholar
Gilbert, P., Gilbert, J. and Irons, C. (2004). Life events, entrapments and arrested anger in depression. Journal of Affective Disorders, 79, 149–160.Google Scholar
Gross, J. J. and Levenson, R. W. (1997). Hiding feelings: the acute effects of inhibiting negative and positive emotion. Journal of Abnormal Psychology, 106, 95.Google Scholar
Hornsveld, R. H. J., Muris, P. and Kraaimaat, F. W. (2011). The Novaco Anger Scale–Provocation Inventory (1994 version) in Dutch forensic psychiatric patients. Psychological Assessment, 23, 937–944. doi: 10.1037/a0024018Google Scholar
Huesmann, L. R. and Guerra, N. G. (1997). Children's normative beliefs about aggression and aggressive behavior. Journal of Personality and Social Psychology, 72, 408–419. doi: 10.1037/0022-3514.72.2.408Google Scholar
Jones, J. P., Thomas-Peter, B. A. and Trout, A. (1999). Normative data for the Novaco Anger Scale from a non-clinical sample and implications for clinical use. British Journal of Clinical Psychology, 38, 417–424. doi: 10.1348/014466599163024Google Scholar
Moeller, S. B. (2016). The Metacognitive Anger Processing (MAP) scale: preliminary testing. Behavioural and Cognitive Psychotherapy, 44(, 504–509.Google Scholar
Moeller, S. B., Novaco, R. W., Heinola-Nielsen, V. and Hougaard, H. (2015). Validation of the Novaco Anger Scale–Provocation inventory (Danish) with non-clinical, clinical, and offender samples. Assessment, doi: 10.1177/1073191115583713Google Scholar
Mokken, R. J. (1971). A Theory and Procedure of Scale Analysis: With Applications in Political Research. The Hague: Walter de Gruyter.Google Scholar
Molenaar, I., Debels, P. and Sijtsna, K. (1994). User's manual MSP, a program for Mokken scale analyses for polytomous items (version 3.0) ProGAMMA. Groeningen, The Netherlands.Google Scholar
Monahan, J., Steadman, H. J., Silver, E., Appelbaum, P. S., Robbins, P. C., Mulvey, E. P. et al. (2001). Rethinking Risk Assessment: The MacArthur Study of Mental Disorder and Violence. New York: Oxford University Press.Google Scholar
Morrison, A. P., Gumley, A. I., Schwannauer, M., Campbell, M., Gleeson, A., Griffin, E. and Gillan, K. (2005). The beliefs about paranoia scale: preliminary validation of a metacognitive approach to conceptualizing paranoia. Behavioural and Cognitive Psychotherapy, 33, 153–164.Google Scholar
Norton, S., Cosco, T., Doyle, F., Done, J. and Sacker, A. (2013). The Hospital Anxiety and Depression Scale: a meta-confirmatory factor analysis. Journal of Psychosomatic Research, 74, 74–81.Google Scholar
Novaco, R. W. (2003). The Novaco Anger Scale and Provocation Inventory. Los Angeles: Western Psychological Services.Google Scholar
Novaco, R. W. (2007). Anger dysregulation: its assessment and treatment. In Cavell, T. A., and Malcolm, K. T. (eds), Anger, Aggression, and Interventions for Interpersonal Violence (pp. 3–54). Mahwah, NJ: Erlbaum.Google Scholar
Novaco, R. W. (2010). Anger and psychopathology. In Potegal, M., Stemmler, G. and Spielberger, C. (eds), International Handbook of Anger (pp. 465–497). New York: Springer.Google Scholar
Novaco, R. W. (2011). Anger dysregulation: driver of violent offending. Journal of Forensic Psychiatry and Psychology, 22, 650–668. doi: http://doi.org/10.1080/14789949Google Scholar
Novaco, R. W. and Taylor, J. L. (2004). Assessment of anger and aggression in male offenders with developmental disabilities. Psychological Assessment, 16, 42–50. doi: 10.1037/1040-3590.16.1.42Google Scholar
Owen, J. M. (2011). Transdiagnostic cognitive processes in high trait anger. Clinical Psychology Review, 31, 193–202. doi: http://dx.doi.org/10.1016/j.cpr.2010.10.003Google Scholar
Papageorgiou, C. and Wells, A. (2001). Positive beliefs about depressive rumination: development and preliminary validation of a self-report scale. Behavior Therapy, 32, 13–26. doi: http://dx.doi.org/10.1016/S0005-7894(01)80041-1Google Scholar
Posternak, M. A. and Zimmerman, M. (2002). Anger and aggression in psychiatric outpatients. Journal of Clinical Psychiatry, 63, 665–672.Google Scholar
Potegal, M. and Novaco, R. W. (2010). A brief history of anger. In Potegal, M., Stemmler, G. and Spielberger, C. D. (eds), International Handbook of Anger (pp. 9–24). New York: Springer.Google Scholar
Simpson, C. and Papageorgiou, C. (2003). Metacognitive beliefs about rumination in anger. Cognitive and Behavioral Practice, 10, 91–94. doi: http://dx.doi.org/10.1016/S1077-7229(03)80012-3Google Scholar
Spada, M. M. and Wells, A. (2008). Metacognitive beliefs about alcohol use: development and validation of two self-report scales. Addictive Behaviors, 33, 515–527. doi: http://dx.doi.org/10.1016/j.addbeh.2007.10.011Google Scholar
Spielberger, C. D. (1999). Staxi-2: State-trait anger expression inventory-2; professional manual. Tampa, FL: Psychological Assessment Resources.Google Scholar
Sukhodolsky, D. G., Golub, A. and Cromwell, E. N. (2001). Development and validation of the anger rumination scale. Personality and Individual Differences, 31, 689–700.Google Scholar
Swogger, M. T., Walsh, Z., Homaifar, B. Y., Caine, E. D. and Conner, K. R. (2012). Predicting self- and other-directed violence among discharged psychiatric patients: the roles of anger and psychopathic traits. Psychological Medicine, 42, 371–379. doi: http://doi.org/10.1017/S0033291711001243Google Scholar
Ullrich, S., Keers, R. and Coid, J. W. (2014). Delusions, anger, and serious violence: new findings from the MacArthur violence risk assessment study. Schizophrenia Bulletin, 40, 1174–1181. doi: http://doi.org/10.1093/schbul/sbt126Google Scholar
Van Schuur, W. H. (2011). Ordinal item response theory: Mokken scale analysis (vol. 169). Sage.Google Scholar
Waine, J., Broomfield, N. M., Banham, S. and Espie, C. A. (2009). Metacognitive beliefs in primary insomnia: developing and validating the metacognitions questionnaire – insomnia (MCQ-I). Journal of Behavior Therapy and Experimental Psychiatry, 40, 15–23. doi: http://dx.doi.org/10.1016/j.jbtep.2008.03.002Google Scholar
Watkins, E. R. (2016). Rumination-Focused Cognitive-Behavioral Therapy for Depression. New York: Guilford Press.Google Scholar
Wells, A. (2000). Emotional Disorders and Metacognition: Innovative Cognitive Therapy. Chichester, UK: John Wiley and Sons.Google Scholar
Wells, A. (2009). Metacognitive Therapy for Anxiety and Depression. New York: Guilford Press.Google Scholar
Wells, A. and Cartwright-Hatton, S. (2004). A short form of the metacognitions questionnaire: Properties of the MCQ-30. Behaviour Research and Therapy, 42, 385–396. doi: http://dx.doi.org/10.1016/S0005-7967(03)00147-5Google Scholar
Wilkowski, B. M. and Robinson, M. D. (2010). The anatomy of anger: an integrative cognitive model of trait anger and reactive aggression. Journal of Personality, 78, 9–38. doi: 10.1111/j.1467-6494.2009.00607.xGoogle Scholar
Zigmond, A. S. and Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67, 361–370. doi: 10.1111/j.1600-0447.1983.tb09716.xGoogle Scholar
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