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A Cross-Validation of the Anger Cognitions Scale-Revised: Cognitions and Anger in an Italian Adolescent Sample


The Angry Cognitions Scale (ACS; Martin and Dahlen in J Ration Emot Cogn Behav Therapy 25(3): 155–173, 2007) is a comprehensive instrument designed to test cognitions that are related to anger. This paper presents data on the Italian-language version of the Angry Cognition Scale-Revised (ACS-R; Soto and DiGiuseppe in which beliefs best predict anger, 2016) in a sample of adolescents aged 11–19 years. The revised version attempted to refine the ACS to better represent Ellis’s theory of irrational beliefs and clarify the coping strategies subscale. Our study attempted to (a) test the factorial structure of the ACS-R-adolescent version, (b) provide psychometric information on internal consistency and test–retest reliability data on the questionnaire in the Italian culture, and (c) test the convergent and predictive validity of the ACS-R-adolescent version relative to other questionnaires. Factor analysis supports a multidimensional model, but the distribution of the items is different from the original validation; in particular, a three-factor solution was supported rather the hypothesized seven factors. Specifically, we labelled the factors as follows: Factor 1 is labelled as Hostile verbal and involves catastrophic cognitive attributions; Factor 2 is labelled Adaptive thoughts on the negative consequences of anger; and Factor 3 is called Demandingness and generalizations. The internal consistency appears optimal for all three factors (from .720 to .888). In addition, analyses reveal good test–retest reliability and convergent validity.

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  • Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms & profiles. University of Vermont, Research Center for Children, Youth, & Families.

    Google Scholar 

  • Beck, A. T. (1999). Prisoners of hate: The cognitive basis of anger, hostility, and violence. HarperCollins Publishers.

    Google Scholar 

  • Bergstrom, G., Jensen, I. B., Bodin, L., Linton, S. J., Nygren, A. L., & Carlsson, S. G. (1998). Reliability and factor structure of the multidimensional pain inventory. Pain, 75(1), 101–110.

    Article  PubMed  Google Scholar 

  • Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1, 185–216.

    Article  Google Scholar 

  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. Sage Focus Editions, 154, 136–136.

    Google Scholar 

  • Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276.

    Article  PubMed  Google Scholar 

  • Conners, C. K. (1997). Conners’ rating scales-revised. Multi-Health Systems

  • Dahlen, E. R., & Martin, R. C. (2005). The experience, expression, and control of anger in perceived social support. Personality and Individual Differences, 39(2), 391–401.

    Article  Google Scholar 

  • Daniel, S. S., Goldston, D. B., Erkanli, A., Franklin, J. C., & Mayfield, A. M. (2009). Trait anger, anger expression, and suicide attempts among adolescents and young adults: a prospective study. Journal of Clinical Child and Adolescent Psychology: the Official Journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division, 53, 38(5), 661–71

  • David, D., DiGiuseppe, R., Dobrean, A. Păsărelu, C. R., & Balazsi, R. (2019). The measurement of irrationality. In M. E. Bernard & W. Dryden (Eds.). REBT: Advances in theory, research, and practice. Springer-Nature

  • Deffenbacher, J. L. (1992). Trait anger: Theory, findings, and implication. In C. D. Spielberger & J. N. Butcher (Eds.), Advances in personality assessment (Vol. 9, pp. 177–201). Lawrence Erlbaum.

    Google Scholar 

  • Deffenbacher, J. L. (1996). Cognitive-behavioral approaches to anger reduction. In K.S. Dobson $ K.D. Craig (eds.), Advances in cognitive-behavioral therapy (pp.31–62). Sage

  • DiGiuseppe, R., & Tafrate, R. C. (2007). Understanding anger disorders. Oxford University Press.

    Google Scholar 

  • Dryden, W. (1990). Dealing with anger problems: Rational-emotive therapeutic interventions. Practitioner’s Resource Exchange Inc.

    Google Scholar 

  • Ellis, A. (1977). Handbook of rational-emotive therapy, with Russell Grieger & contributors. Springer Publishing.

    Google Scholar 

  • Ellis, A. (1994). Reason and emotion in psychotherapy, Revised and updated. Carol

  • Ellis, A., & Dryden, W. (2007). The practice of rational emotive behavior therapy (2nd ed.). Springer.

    Book  Google Scholar 

  • Harrington, N. (2005). The frustration discomfort scale: Development and psychometric properties. Clinical Psychology and Psychotherapy, 12(5), 374–378.

    Article  Google Scholar 

  • Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to under parameterized model misspecification. Psychological Methods, 3(4), 424.

    Article  Google Scholar 

  • Jöreskog, K. G., & Sörbom, D. (2006). LISREL 8.80. Scientific Software International Inc.

  • Kline, P. (1993). The handbook of psychological testing. Routledge.

    Google Scholar 

  • Martin, R. C., et al. (1999). Style of anger expression: Relation to expressivity, personality and health. Personality and Social Psychology Bulletin, 25(10), 1196–1207.

    Article  Google Scholar 

  • Martin, R. C., & Dahlen, E. R. (2005). Cognitive emotion regulation in the prediction of depression, anxiety, stress, and anger. Personality and Individual Differences, 39(2005), 1249–1260.

    Article  Google Scholar 

  • Martin, R. C., & Dahlen, E. R. (2011). Angry thoughts and response to provocation: Validity of the angry cognitions scale. Journal of Rational-Emotive & Cognitive-Behavior Therapy, 29, 65–76.

    Article  Google Scholar 

  • Martin, R. C., & Dahlen, R. R. (2007). The angry cognition scale: A new inventory for assessing cognitions in anger. Journal of Rational-Emotive & Cognitive-Behavior Therapy, 25(3), 155–173.

    Article  Google Scholar 

  • Maxwell, J. P., Sukhodolsky, D. G., Chow, C. C. F., & Wong, C. F. C. (2005). Anger rumination in Hong Kong and Great Britain: Validation of the scale and a cross-cultural comparison. Personality and Individual Differences, 39, 1147–1157.

    Article  Google Scholar 

  • Miller Muthén, B., & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38(2), 171–189.

    Article  Google Scholar 

  • Mîndrilã, D. (2010). Maximum likelihood (ML) and diagonally weighted least squares (DWLS) estimation procedures: A comparison of estimation bias with ordinal and multivariate non-normal data. International Journal of Digital Society, 1(1), 60–66.

    Article  Google Scholar 

  • Modecki, K. L., Zimmer-Gembeck, M. J., & Guerra, N. (2017). Emotion regulation, coping, and decision making: Three linked skills for preventing externalizing problems in adolescence. Child Development, 88(2), 417–426.

    Article  PubMed  Google Scholar 

  • Muthén, B., & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38(2), 171–189.

    Article  Google Scholar 

  • Novaco, R. W. (1979). Therapist manual for stress inoculation training. Therapeutic interventions for anger problems. Irvine.

    Google Scholar 

  • Novaco, R. W. (1994). Anger as a risk factor for violence among the mentally disordered. In J. Monahan & H. J. Steadman (Eds.), Violence and mental disorder (pp. 21–59). The University of Chicago Press.

    Google Scholar 

  • Pullen, L., Modrcin, M. A., McGuire, S. L., Lane, K., Kearnely, M., & Engle, S. (2015). Anger in adolescent communities: How angry are they? Pediatric Nursing, 41(3), 135–140.

    PubMed  Google Scholar 

  • Puskar, K., Grabiak, B. R., & Bernardo, L. M. (2009). Adolescent coping across time: Implications for psychiatric mental health nurses. Issues in Mental Health Nursing, 30, 581–586.

    Article  PubMed  Google Scholar 

  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.

    Google Scholar 

  • Schumacker, R. E., & Beyerlein, S. T. (2000). Confirmatory factor analysis with different correlation types and estimation methods. Structural Equation Modeling, 7(4), 629–636.

    Article  Google Scholar 

  • Soto, B., DiGiuseppe, R. (2016, October). Which Beliefs Best Predict Anger? Poster presented at the annual convention of the Association for Behavioral and Cognitive Therapies.

  • Sukhodolsky, D. G., Golub, A., & Cromwell, E. N. (2001). Development and validation of the anger rumination scale. Personality and Individual Differences, 31, 689–700.

    Article  Google Scholar 

  • Sukhodolsky, D. G., Smith, S. D., McCauley, S. A., Ibrahim, K., & Piasecka, J. B. (2016). Behavioral interventions for anger, irritability, and aggression in children and adolescents. Journal of Child and Adolescent Psychopharmacology, 26(1), 58–64.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tafrate, R. C., Kassinove, H., & Dunedin, L. (2002). Anger episodes in high and low trait anger community adults. Journal of Clinical Psychology, 58, 1573–1590.

    Article  PubMed  Google Scholar 

  • Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16(2), 209.

    Article  PubMed  Google Scholar 

  • Velicer, W. F. (1976). The relation between factor score estimates, image scores, and principal component scores. Educational and Psychological Measurement, 36(1), 149–159.

    Article  Google Scholar 

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The authors gratefully thank all students and teachers who took part in this study.

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Correspondence to Chiara Caruso.

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Scaini, S., Piron, R., Nicoli, S. et al. A Cross-Validation of the Anger Cognitions Scale-Revised: Cognitions and Anger in an Italian Adolescent Sample. J Rat-Emo Cognitive-Behav Ther 40, 278–294 (2022).

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  • Adolescents
  • Anger
  • Rational emotive behaviour therapy
  • Cognitive behaviour therapy
  • Anger
  • Cognitive errors
  • Irrational belief
  • Attributions for hostile intent