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Original Article

The Readiness to Reconcile Inventory

Assessing Attitudes Toward Reconciliation in Victims of War and Conflict

Published Online:https://doi.org/10.1027/1015-5759/a000304

Abstract. Although awareness of the importance of reconciliation in post-conflict societies has grown in recent decades, validated measures assessing victims’ attitudes toward reconciliation are lacking. To fill this gap, the Readiness to Reconcile Inventory (RRI) was developed and its factor structure and aspects of construct validity were psychometrically tested in two independent samples of survivors of the Khmer Rouge regime in Cambodia. Exploratory factor analysis in a sample of N = 247 survivors identified a 13-item, three-factor internal structure of the RRI that was confirmed by confirmatory factor analysis in an independent sample of N = 830 survivors of the Khmer Rouge regime. All RRI subscales showed good internal consistency (Cronbach’s αs from .80 to .83). Multiple-group analysis established configural, metric, and scalar invariance across sex. The RRI thus demonstrated good reliability and fulfilled some aspects of construct validity. It is a time-effective and easy-to-administer instrument for assessing readiness to reconcile in victims of war and conflict.

References

  • Allan, A., Allan, M. M., Kaminer, D. & Stein, D. J. (2006). Exploration of the association between apology and forgiveness amongst victims of human rights violations. Behavioral Sciences & the Law, 24, 87–102. doi: 10.1002/bsl.689 First citation in articleCrossrefGoogle Scholar

  • Bar-On, D. (2005). Empirical criteria for reconciliation in practice. Intervention, 3, 180–191. First citation in articleGoogle Scholar

  • Bar-Tal, D. (2000). From intractable conflict through conflict resolution to reconciliation: Psychological analysis. Political Psychology, 21, 351–365. doi: 10.1111/0162-895X.00192 First citation in articleCrossrefGoogle Scholar

  • Bar-Tal, D. & Bennink, G. H. (2004). The nature of reconciliation as an outcome and as a process. In Y. Bar-Siman-TovEd., From conflict resolution to reconciliation (pp. 11–38). Oxford, UK: Oxford University Press. First citation in articleGoogle Scholar

  • Bayer, C. P., Klasen, F. & Adam, H. (2007). Association of trauma and PTSD symptoms with openness to reconciliation and feelings of revenge among former Ugandan and Congolese child soldiers. Journal of the American Medical Association, 298, 555–559. doi: 10.1001/jama.298.5.555 First citation in articleCrossrefGoogle Scholar

  • Browne, M. W. & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230–258. doi: 10.1177/0049124192021002005 First citation in articleCrossrefGoogle Scholar

  • Byrne, B. M. (1994). Structural equation modeling with EQS and EQS/Windows. Thousand Oaks, CA: Sage. First citation in articleGoogle Scholar

  • Cattell, R. B. (1966). The scree test for the numbers of factors. Multivariate Behavioral Research, 1, 245–276. doi: 10.1207/s15327906mbr0102_10 First citation in articleCrossrefGoogle Scholar

  • Ceulemans, E. & Kiers, H. A. (2006). Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method. The British Journal of Mathematical and Statistical Psychology, 59, 133–150. doi: 10.1348/000711005X64817 First citation in articleCrossrefGoogle Scholar

  • Cheung, G. W. & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9, 233–255. doi: 10.1207/S15328007SEM0902_5 First citation in articleCrossrefGoogle Scholar

  • Eichhorn, S., Stammel, N., Glasemer, H., Klauer, T., Freyberger, H., Knaevelsrud, C. & Kuwert, P. (2015). Readiness to reconcile and posttraumatic distress in German survivors of wartime rapes in 1945. International Journal of Psychogeriatrics, 8, 1–8. First citation in articleGoogle Scholar

  • Eisinga, R., Grotenhuis, M. & Pelzer, B. (2013). The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? International Journal of Public Health, 58, 637–642. doi: 10.1007/s00038-012-0416-3 First citation in articleCrossrefGoogle Scholar

  • Fatfouta, F., Schröder-Abé, M. & Merkl, A. (2014). Forgiving, fast and slow: Validity of the implicit association test for predicting differential response latencies in a transgression-recall paradigm. Frontiers in Psychology, 5, 728 First citation in articleCrossrefGoogle Scholar

  • Field, N. P. & Chhim, S. (2008). Desire for revenge and attitudes toward the Khmer Rouge Tribunal among Cambodians. Journal of Loss and Trauma, 13, 352–372. doi: 10.1080/15325020701742086 First citation in articleCrossrefGoogle Scholar

  • Guillemin, F., Bombardier, C. & Beaton, D. (1993). Cross-cultural adaptation of health-related quality of life measures: Literature review and proposed guidelines. Journal of Clinical Epidemiology, 46, 1417–1432. First citation in articleCrossrefGoogle Scholar

  • Hamama-Raz, Y., Solomon, Z., Cohen, A. & Laufer, A. (2008). PTSD symptoms, forgiveness, and revenge among Israeli Palestinian and Jewish adolescents. Journal of Traumatic Stress, 21, 521–529. doi: 10.1002/jts.20376 First citation in articleCrossrefGoogle Scholar

  • Hamber, B. (2009). Transforming societies after political violence. New York, NY: Springer. First citation in articleCrossrefGoogle Scholar

  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179–185. First citation in articleCrossrefGoogle Scholar

  • Hu, L.-t. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. doi: 10.1080/10705519909540118 First citation in articleCrossrefGoogle Scholar

  • Kaiser, H. F. (1960). The application of electronic computers to factorial analysis. Educational and Psychological Measurement, 20, 141–151. doi: 10.1177/001316446002000116 First citation in articleCrossrefGoogle Scholar

  • Kaiser, H. F. (1970). A second-generation little jiffy. Psychometrika, 35, 401–415. doi: 10.1007/BF02291817 First citation in articleCrossrefGoogle Scholar

  • Kiernan, B. (2009). The Pol Pot Regime: Race, power and genocide in Cambodia under the Khmer Rouge 1975–1979. New Haven, CT: Yale University Press. First citation in articleGoogle Scholar

  • Kline, R. B. (2005). Principles and practices of structural equation modeling (2nd ed.). New York, NY: The Guilford Press. First citation in articleGoogle Scholar

  • Kriesberg, L. (2007). External contributions to post-mass-crime rehabilitation. In B. PoulignyS. ChestermanA. SchnabelEds., After mass crime. Rebuildng states and communities (pp. 243–271). New York, NY: United Nations University. First citation in articleGoogle Scholar

  • Lance, C. E., Butts, M. & Michels, L. (2006). The sources of four commonly reported cutoff criteria: What did they really say? Organizational Research Methods, 9, 202–220. doi: 10.1177/1094428105284919 First citation in articleCrossrefGoogle Scholar

  • MacCallum, R., Browne, M. W. & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149. doi: 10.1037/1082-989X.1.2.130 First citation in articleCrossrefGoogle Scholar

  • Muthén, L. K. & Muthén, B. O. (1998–2007). MPlus User’s Guide (5th ed.). Los Angeles, CA: Muthén & Muthén. First citation in articleGoogle Scholar

  • Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw-Hill. First citation in articleGoogle Scholar

  • O’Connor, B. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments, & Computers, 32, 396–402. doi: 10.3758/BF03200807 First citation in articleCrossrefGoogle Scholar

  • Pham, P. N., Weinstein, H. M. & Longman, T. (2004). Trauma and PTSD symptoms in Rwanda: Implications for attitudes toward justice and reconciliation. Journal of the American Medical Association, 292, 602–612. doi: 10.1001/jama.292.5.602 First citation in articleCrossrefGoogle Scholar

  • Sonis, J., Gibson, J. L., de Jong, J. T., Field, N. P., Hean, S. & Komproe, I. (2009). Probable posttraumatic stress disorder and disability in Cambodia: Associations with perceived justice, desire for revenge, and attitudes toward the Khmer Rouge trials. Journal of the American Medial Association, 302, 527–536. doi: 10.1001/jama.2009.1085 First citation in articleCrossrefGoogle Scholar

  • Stammel, N., Neuner, F., Böttche, M. & Knaevelsrud, C. (2012). Construction of a questionnaire for readiness to reconcile in victims of human rights violations. European Journal of Psychotraumatology, 3, 15785. doi: 10.3402/ejpt.v3i0.15785 First citation in articleCrossrefGoogle Scholar

  • Stein, D. J., Seedat, S., Kaminer, D., Moomal, H., Herman, A., Sonnega, J. & Williams, D. R. (2008). The impact of the Truth and Reconciliation Commission on psychological distress and forgiveness in South Africa. Social Psychiatry and Psychiatric Epidemiology, 43, 462–468. doi: 10.1007/s00127-008-0350-0 First citation in articleCrossrefGoogle Scholar

  • Tabachnick, B. G. & Fidell, L. S. (2002). Using multivariate statistics. Boston, MA: Allyn & Bacon. First citation in articleGoogle Scholar

  • van de Schoot, R., Lugtig, P. & Hox, J. (2012). A checklist for testing measurement invariance. European Journal of Developmental Psychology, 9, 486–492. doi: 10.1080/17405629.2012.68674 First citation in articleCrossrefGoogle Scholar

  • Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321–327. doi: 10.1007/BF02293557 First citation in articleCrossrefGoogle Scholar

  • West, S. G., Finch, J. F. & Curran, P. J. (1995). Structural equation models with nonnormal variables. Problems and remedies. In R. H. HoyleEd., Structural equation modeling: Concepts, issues and applications (pp. 56–75). Newbury Park, CA: Sage. First citation in articleGoogle Scholar

  • Wilderjans, T. F., Ceulemans, E. & Meers, K. (2013). CHull: A generic convex-hull-based model selection method. Behavior Research Methods, 45, 1–15. doi: 10.3758/s13428-012-0238-5 First citation in articleCrossrefGoogle Scholar

  • Wirtz, M. (2004). Über das Problem fehlender Werte: Wie der Einfluss fehlender Informationen auf Analyseergebnisse entdeckt und reduziert werden kann [On the problem of missing data: How to identify and reduce the impact of missing data on findings of data analysis]. Rehabilitation, 43, 109–115. doi: 10.1055/s-2003-814839 First citation in articleCrossrefGoogle Scholar