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The Rugged Resilience Measure: Development and Preliminary Validation of a Brief Measure of Personal Resilience

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Abstract

There is an increasing demand for brief measures of resilience that can distinguish different dimensions of successful adaptation and good quality of life despite the experience of atypical stress. We sought to develop a short measure of resilience that focuses specifically on psychological protective factors associated with resilience. From a review of existing measures of resilience, a list of protective psychological factors associated with good quality of life in contexts of adversity was compiled. A Delphi approach was employed to identify the most important factors, which were used to create the 10-item Rugged Resilience Measure (RRM). A sample of 5880 individuals (aged 16–29 years) from seven countries was then surveyed to investigate the psychometric properties of the measure. Analysis of the data involved exploratory and confirmatory factor analysis, measurement invariance and alignment tests. A one-factor model was identified and confirmed to have good fit to the overall sample as well as equivalence across sex and country subgroups. The measure demonstrated good internal reliability (α = .87; ωh = .83) and concurrent validity through significant correlations with a measure of social-ecological resilience (ARM-R: r = .68) and predictive validity with a measure of social anxiety (SIAS: r = −.29). Evidence is also presented for its convergent, discriminant, and incremental validity. The RRM is a concise and potentially robust measure of personal resilience that works well in different contexts around the world. It may be used to assess internal protective factors or employed concurrently with assessments of social-ecological factors to provide a more holistic account of resilience and an individual’s quality of life.

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Availability of Data and Material

The study data is available at the following link: https://osf.io/dpqte/; DOI: https://doi.org/10.17605/OSF.IO/DPQTE.

Code Availability

The script used in the analyses is available from the lead author upon request.

References

  • Asparouhov, T., & Muthén, B. (2014). Multiple-group factor analysis alignment. Structural Equation Modeling: A Multidisciplinary Journal, 21(4), 495–508. https://doi.org/10.1080/10705511.2014.919210.

    Article  Google Scholar 

  • Barrett, P. (2007). Structural equation modelling: Adjudging model fit. Personality and Individual Differences, 42(5), 815–824. https://doi.org/10.1016/j.paid.2006.09.018.

    Article  Google Scholar 

  • Bartone, P. T., Ursano, R. J., Wright, K. M., & Ingraham, L. H. (1989). The impact of a military air disaster on the health of assistance workers. Journal of Nervous and Mental Disease, 177(6), 317–328.

  • Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6. https://doi.org/10.3389/fpubh.2018.00149.

  • Brickell, T. A., Wright, M. M., Lippa, S. M., Sullivan, J. K., Bailie, J. M., French, L. M., & Lange, R. T. (2020). Resilience is associated with health-related quality of life in caregivers of service members and veterans following traumatic brain injury. Quality of Life Research, 29, 2781–2792. https://doi.org/10.1007/s11136-020-02529-y.

    Article  Google Scholar 

  • Brown, T. (2006). Confirmatory factor analysis for applied research. Guildford.

  • Bruner, G. C. (2019). Scale-related pet-peeveshttps://scaleresearch.siu.edu/petpeeve5.html. Accessed 11 Dec 2020.

  • Cal, S. F., de Sá, L. R., Glustak, M. E., & Santiago, M. B. (2015). Resilience in chronic diseases: A systematic review. Cogent Psychology, 2(1), 1024928. https://doi.org/10.1080/23311908.2015.1024928.

    Article  Google Scholar 

  • Campbell-Sills, L., & Stein, M. B. (2007). Psychometric analysis and refinement of the Connor-Davidson resilience scale (CD-RISC): Validation of a 10-item measure of resilience. Journal of Traumatic Stress, 20(6), 1019–1028. https://doi.org/10.1002/jts.20271.

    Article  Google Scholar 

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5.

    Article  Google Scholar 

  • Chmitorz, A., Kunzler, A., Helmreich, I., Tüscher, O., Kalisch, R., Kubiak, T., Wessa, M., & Lieb, K. (2018). Intervention studies to foster resilience—A systematic review and proposal for a resilience framework in future intervention studies. Clinical Psychology Review, 59, 78–100. psyh. https://doi.org/10.1016/j.cpr.2017.11.002.

    Article  Google Scholar 

  • Connor, K. M., & Davidson, J. R. T. (2003). Development of a new resilience scale: The Connor-Davidson resilience scale (CD-RISC). Depression and Anxiety, 18(2), 76–82. https://doi.org/10.1002/da.10113.

    Article  Google Scholar 

  • Devins, G. M., Orme, C. M., Costello, C. G., Binik, Y. M., Frizzell, B., Stam, H. J., & Pullin, W. M. (1988). Measuring depressive symptoms in illness populations: Psychometric properties of the Center for Epidemiologic Studies Depression (CES-D) scale. Psychology & Health, 2(2), 139–156. https://doi.org/10.1080/08870448808400349.

    Article  Google Scholar 

  • Egeland, B. R., Carlson, E., & Sroufe, L. A. (1993). Resilience as process. Development and Psychopathology, 5(4), 517–528. https://doi.org/10.1017/S0954579400006131.

    Article  Google Scholar 

  • Fischer, R., & Karl, J. A. (2019). A primer to (cross-cultural) multi-group invariance testing possibilities in R. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01507.

  • Fritz, J., de Graaff, A. M., Caisley, H., van Harmelen, A.-L., & Wilkinson, P. O. (2018). A systematic review of amenable resilience factors that moderate and/or mediate the relationship between childhood adversity and mental health in young people. Frontiers in Psychiatry, 9, 230. https://doi.org/10.3389/fpsyt.2018.00230.

    Article  Google Scholar 

  • Fritz, J., Stochl, J., Goodyer, I. M., van Harmelen, A.-L., & Wilkinson, P. O. (2020). Embracing the positive: An examination of how well resilience factors at age 14 can predict distress at age 17. Translational Psychiatry, 10(1), 1–14. https://doi.org/10.1038/s41398-020-00944-w.

    Article  Google Scholar 

  • Galatzer-Levy, I. R., Burton, C. L., & Bonanno, G. A. (2012). Coping flexibility, potentially traumatic life events, and resilience: A prospective study of college student adjustment. Journal of Social and Clinical Psychology, 31(6), 542–567. https://doi.org/10.1521/jscp.2012.31.6.542.

    Article  Google Scholar 

  • Gunnestad, A. (2006). Resilience in a cross-cultural perspective: How resilience is generated in different cultures. Journal of Intercultural Communication, 11, 1–22.

    Google Scholar 

  • Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.

  • Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008–1015. https://doi.org/10.1046/j.1365-2648.2000.t01-1-01567.x.

    Article  Google Scholar 

  • Heimberg, R. G., Mueller, G. P., Holt, C. S., Hope, D. A., & Liebowitz, M. R. (1992). Assessment of anxiety in social interaction and being observed by others: The social interaction anxiety scale and the social phobia scale. Behavior Therapy, 23(1), 53–73. https://doi.org/10.1016/S0005-7894(05)80308-9.

    Article  Google Scholar 

  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8.

    Article  Google Scholar 

  • Henson, R. K., & Roberts, J. K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66(3), 393–416. https://doi.org/10.1177/0013164405282485.

    Article  Google Scholar 

  • Hjemdal, O., Roazzi, A., & Dias, M. da G. B. B., & Friborg, O. (2015). The cross-cultural validity of the resilience scale for adults: A comparison between Norway and Brazil. BMC Psychology, 3(1), 18. https://doi.org/10.1186/s40359-015-0076-1.

    Article  Google Scholar 

  • Hox, J. J., Moerbeek, M., & van de Schoot, R. (2010). Multilevel analysis: Techniques and applications (2nd ed.). Routledge.

  • Hu, L., & 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), 1–55. https://doi.org/10.1080/10705519909540118.

    Article  Google Scholar 

  • Hurtes, K. P., & Allen, L. R. (2001). Measuring resiliency in youth: The resiliency attitudes and skills profile. Therapeutic Recreation Journal, 35(4), 333–347.

  • Jefferies, P., McGarrigle, L., & Ungar, M. (2018). The CYRM-R: A Rasch-validated revision of the child and youth resilience measure. Journal of Evidence-Based Social Work, 16, 70–92. https://doi.org/10.1080/23761407.2018.1548403.

  • Johnson, J. S. (2016). Improving online panel data usage in sales research. Journal of Personal Selling & Sales Management, 36(1), 74–85. https://doi.org/10.1080/08853134.2015.1111611.

    Article  Google Scholar 

  • Kenny, D. A. (2015). SEM: Fithttp://davidakenny.net/cm/fit.htm. Accessed 25 May 2018.

  • Kirchberger, I., Burkhardt, K., Heier, M., Thilo, C., & Meisinger, C. (2020). Resilience is strongly associated with health-related quality of life but does not buffer work-related stress in employed persons 1 year after acute myocardial infarction. Quality of Life Research, 29(2), 391–401. https://doi.org/10.1007/s11136-019-02306-6.

    Article  Google Scholar 

  • Ko, C.-Y. A., & Chang, Y. (2018). Investigating the relationships among resilience, Social Anxiety, and Procrastination in a Sample of College Students. Psychological Reports, 122, 231–245. https://doi.org/10.1177/0033294118755111.

    Article  Google Scholar 

  • Lawford, J., & Eiser, C. (2001). Exploring links between the concepts of quality of life and resilience. Pediatric Rehabilitation, 4(4), 209–216. https://doi.org/10.1080/13638490210124024.

    Article  Google Scholar 

  • Lee, S. T. H. (2018). Testing for measurement invariance: Does your measure mean the same thing for different participants? APS Observer, 31(8). https://www.psychologicalscience.org/observer/testing-for-measurement-invariance. Accessed 23 June 2020.

  • Liebenberg, L., & Moore, J. C. (2018). A social ecological measure of resilience for adults: The RRC-ARM. Social Indicators Research, 136(1), 1–19. https://doi.org/10.1007/s11205-016-1523-y.

    Article  Google Scholar 

  • Luthar, S. S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child Development, 71(3), 543–562.

    Article  Google Scholar 

  • Madewell, A. N., & Ponce-Garcia, E. (2016). Assessing resilience in emerging adulthood: The resilience scale (RS), Connor–Davidson resilience scale (CD-RISC), and scale of protective factors (SPF). Personality and Individual Differences, 97, 249–255.

    Article  Google Scholar 

  • Marsh, H. W., Guo, J., Parker, P. D., Nagengast, B., Asparouhov, T., Muthén, B., & Dicke, T. (2018). What to do when scalar invariance fails: The extended alignment method for multi-group factor analysis comparison of latent means across many groups. Psychological Methods, 23(3), 524–545. https://doi.org/10.1037/met0000113.

    Article  Google Scholar 

  • Marulanda, S., & Addington, J. (2016). Resilience in individuals at clinical high risk for psychosis. Early Intervention in Psychiatry, 10(3), 212–219. https://doi.org/10.1111/eip.12174.

    Article  Google Scholar 

  • Masten, A. S. (2014). Global perspectives on resilience in children and youth. Child Development, 85(1), 6–20. https://doi.org/10.1111/cdev.12205.

    Article  Google Scholar 

  • Mattick, R. P., & Clarke, J. C. (1998). Development and validation of measures of social phobia scrutiny fear and social interaction anxiety. Behaviour Research and Therapy, 36(4), 455–470. https://doi.org/10.1016/s0005-7967(97)10031-6.

    Article  Google Scholar 

  • Milfont, T. L., & Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3(1), 111–130. https://doi.org/10.21500/20112084.857.

    Article  Google Scholar 

  • Osher, D., Cantor, P., Berg, J., Steyer, L., & Rose, T. (2020). Drivers of human development: How relationships and context shape learning and development. Applied Developmental Science, 24(1), 6–36. https://doi.org/10.1080/10888691.2017.1398650.

    Article  Google Scholar 

  • Ponce-Garcia, E., Madewell, A. N., & Kennison, S. M. (2015). The development of the scale of protective factors: Resilience in a violent trauma sample. Violence and Victims, 30(5), 735–755.

    Article  Google Scholar 

  • R Core Team. (2020). R: A language and environment for statistical computing (4.0.0) [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/. Accessed 11 May 2020.

  • Renbarger, R. L., Padgett, R. N., Cowden, R. G., Govender, K., Yilmaz, M. Z., Scott, L. M., Makhnach, A. V., Novotny, J. S., Nugent, G., Rosenbaum, L., & Křeménková, L. (2020). Culturally relevant resilience: A psychometric meta-analysis of the child and youth resilience measure (CYRM). Journal of Research on Adolescence, 30(4), 896–912. https://doi.org/10.1111/jora.12569.

    Article  Google Scholar 

  • Rodebaugh, T. L., Woods, C. M., & Heimberg, R. G. (2007). The reverse of social anxiety is not always the opposite: The reverse-scored items of the social interaction anxiety scale do not belong. Behavior Therapy, 38(2), 192–206.

    Article  Google Scholar 

  • Rodebaugh, T. L., Heimberg, R. G., Brown, P. J., Fernandez, K. C., Blanco, C., Schneier, F. R., & Liebowitz, M. R. (2011). More reasons to be straightforward: Findings and norms for two scales relevant to social anxiety. Journal of Anxiety Disorders, 25(5), 623–630. https://doi.org/10.1016/j.janxdis.2011.02.002.

    Article  Google Scholar 

  • Schumacker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling (2nd ed.pp. xii–498). Lawrence Erlbaum Associates Publishers.

  • Skrondal, A., & Rabe-Hesketh, S. (2004). Generalized latent variable modeling: Multilevel, longitudinal, and structural equation models. Chapman & Hall/CRC.

  • Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194–200. https://doi.org/10.1080/10705500802222972.

    Article  Google Scholar 

  • Southwick, S. M., Bonanno, G. A., Masten, A. S., Panter-Brick, C., & Yehuda, R. (2014). Resilience definitions, theory, and challenges: Interdisciplinary perspectives. European Journal of Psychotraumatology, 5, 25338. https://doi.org/10.3402/ejpt.v5.25338.

    Article  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2006). Using multivariate statistics (5th ed.). Allyn & Bacon.

  • Thoma, M. V., Höltge, J., Eising, C. M., Pfluger, V., & Mc Gee, S. L. (2020). Resilience and stress in later life: A network analysis approach depicting complex interactions of resilience resources and stress-related risk factors in older adults. Frontiers in Behavioral Neuroscience, 14, 216.

    Article  Google Scholar 

  • Ungar, M. (2011). The social ecology of resilience: Addressing contextual and cultural ambiguity of a nascent construct. The American Journal of Orthopsychiatry, 81(1), 1–17. https://doi.org/10.1111/j.1939-0025.2010.01067.x.

    Article  Google Scholar 

  • Ungar, M. (2015). Resilience and culture: The diversity of protective processes and positive adaptation. In L. C. Theron, L. Liebenberg, & M. Ungar (Eds.), Youth Resilience and Culture: Commonalities and Complexities (pp. 37–48). Springer Netherlands. https://doi.org/10.1007/978-94-017-9415-2_3.

  • Ungar, M. (2019). Designing resilience research: Using multiple methods to investigate risk exposure, promotive and protective processes, and contextually relevant outcomes for children and youth. Child Abuse & Neglect, 96, 104098. https://doi.org/10.1016/j.chiabu.2019.104098.

    Article  Google Scholar 

  • Ungar, M., Liebenberg, L., Boothroyd, R., Kwong, W. M., Lee, T. Y., Leblanc, J., Duque, L., & Makhnach, A. (2008a). The study of youth resilience across cultures: Lessons from a pilot study of measurement development. Research in Human Development, 5(3), 166–180. https://doi.org/10.1080/15427600802274019.

    Article  Google Scholar 

  • Ungar, M., Brown, M., Liebenberg, L., Cheung, M., & Levine, K. (2008b). Distinguishing differences in pathways to resilience among Canadian youth. Canadian Journal of Community Mental Health, 27(1), 1–13. https://doi.org/10.7870/cjcmh-2008-0001.

    Article  Google Scholar 

  • Vaishnavi, S., Connor, K., & Davidson, J. R. T. (2007). An abbreviated version of the Connor-Davidson resilience scale (CD-RISC), the CD-RISC2: Psychometric properties and applications in psychopharmacological trials. Psychiatry Research, 152(2–3), 293–297. https://doi.org/10.1016/j.psychres.2007.01.006.

    Article  Google Scholar 

  • van Breda, A. D. (2018). A critical review of resilience theory and its relevance for social work. Social Work, 54(1), 1–18. https://doi.org/10.15270/54-1-611.

    Article  Google Scholar 

  • van der Meer, C. A., te Brake, H., van der Aa, N., Dashtgard, P., Bakker, A., & Olff, M. (2018). Assessing psychological resilience: Development and psychometric properties of the english and dutch version of the resilience evaluation scale (res). Frontiers in Psychiatry, 9, 169.

    Article  Google Scholar 

  • van Osch, Y. M. J., Breugelmans, S. M., Zeelenberg, M., & Fontaine, J. J. R. (2013). The meaning of pride across cultures. In Components of emotional meaning: A sourcebook (pp. 377–387). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199592746.003.0026.

  • Wagnild, G. M. (2009). A review of the resilience scale. Journal of Nursing Measurement, 17(2), 105–113.

    Article  Google Scholar 

  • Wagnild, G. M., & Young, H. (1993). Development and psychometric. Journal of Nursing Measurement, 1(2), 165–178.

    Google Scholar 

  • Windle, G., Bennett, K. M., & Noyes, J. (2011). A methodological review of resilience measurement scales. Health and Quality of Life Outcomes, 9, 8. https://doi.org/10.1186/1477-7525-9-8.

    Article  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the role of Edelman Intelligence for collecting the data and Unilever and CLEAR for funding and commissioning the overarching project as part of their mission to support the resilience of young people experiencing social anxiety.

Funding

No funding was received to conduct the study.

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Contributions

MU and PJ 42 devised the study. PJ conducted analyses of the data and provided a first draft of the manuscript. RV and MU provided further content and significant revisions of the manuscript. All authors approved the final manuscript.

Corresponding author

Correspondence to Philip Jefferies.

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Dalhousie University Research Ethics Board approved the secondary analysis of the dataset.

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Participants provided informed consent to take part in the original data collection.

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Participants provided consent for their data to be used for various purposes including research.

Conflicts of Interest/Competing Interests

The lead author is employed on a Fellowship scheme which is jointly funded by an academic institution and an industry partner, the latter of which is associated with the organisation who collected the data. Both entities (academic institution and industry partner) provide the funding for the fellowship but do not direct or influence any studies undertaken by the researcher.

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Jefferies, P., Vanstone, R. & Ungar, M. The Rugged Resilience Measure: Development and Preliminary Validation of a Brief Measure of Personal Resilience. Applied Research Quality Life 17, 985–1000 (2022). https://doi.org/10.1007/s11482-021-09953-3

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