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A Defining Aspect of Human Resilience in the Workplace: A Structural Modeling Approach

Published online by Cambridge University Press:  08 April 2013

Abstract

Objectives: It has been estimated that up to 90% of the US population is exposed to at least 1 traumatic event during their lifetime. Although there is growing evidence that most people are resilient, meaning that they have the ability to adapt to or rebound from adversity, between 5% and 10% of individuals exposed to traumatic events meet criteria for posttraumatic stress disorder. Therefore, identifying the elements of resilience could lead to interventions or training programs designed to enhance resilience. In this article, we test the hypothesis that the effects of stressor conditions on outcomes such as job-related variables may be mediated through the cognitive and affective registrations of those events, conceptualized as subjective stress arousal.

Methods: The subjects were 491 individuals employed in public accounting, who were sampled from a mailing list provided by the American Institute of Certified Public Accountants. The stressors used in this study were role ambiguity, role conflict, and role overload and the outcome measures were performance, turnover intentions, job satisfaction, and burnout. Stress arousal was measured using a previously developed stress arousal scale. We conducted a series of 2 EQS structural modeling analyses to assess the impact of stress arousal. The first model examined only the direct effects from the role stressors to the outcome constructs. The second model inserted stress arousal as a mediator in the relations between the role stressors and the outcomes.

Results: The results of our investigation supported the notion that subjective stress arousal provides greater explanatory clarity by mediating the effects of stressors upon job-related outcome. Including stress arousal in the model provided a much more comprehensive understanding of the relation between stressor and outcomes, and the contribution of role ambiguity and role conflict were better explained.

Conclusions: By understanding these relations, anticipatory guidance and crisis intervention programs can be designed and implemented to enhance human resilience. These data could serve to improve training programs for these “at risk” professional groups or even the population as a whole.

(Disaster Med Public Health Preparedness. 2011;5:98–105)

Type
Original Research
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2011

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References

REFERENCES

1.Klaus, PA, Matson, CT.US Department of Justice. Criminal victimization in the United States, 2006 statistical tables. http://bjs.ojp.usdoj.gov/index.cfm?ty=pbdetail&iid=1094. Published August 1, 2008. Accessed January 7, 2009.Google Scholar
2.Breslau, N.Epidemiologic studies of trauma, posttraumatic stress disorder, and other psychiatric disorders. Can J Psychiatry. 2002;47 (10):923929.Google Scholar
3.Ozer, EJ, Best, SR, Lipsey, TL, Weiss, DS.Predictors of posttraumatic stress disorder and symptoms in adults: a meta-analysis. Psychol Bull. 2003;129 (1):5273.CrossRefGoogle ScholarPubMed
4.Mancini, AD, Bonanno, GA.Resilience in the face of potential trauma: clinical practices and illustrations. J Clin Psychol. 2006;62 (8):971985.Google Scholar
5.Revich, K, Shatte, A.The Resilience Factor. New York: Broadway Books; 2002.Google Scholar
6.Bonanno, GA.Loss, trauma, and human resilience: have we underestimated the human capacity to thrive after extremely aversive events? Am Psychol. 2004;59 (1):2028.Google Scholar
7.Kaminsky, M, McCabe, OL, Langlieb, AM, Everly, GS JrAn evidence-informed model of human resistance, resilience, and recovery: the Johns Hopkins' outcome-driven paradigm for disaster mental health services. Brief Treat Crisis Interv. 2007;7:111.Google Scholar
8.Shuchter, SR, Zisook, S.The course of normal grief. In: Stroebe M, Stroebe W, Hansson RO, eds. Handbook of Bereavement: Theory, Research, and Intervention. New York: Cambridge University Press; 1993:23-43.Google Scholar
9.Stein, N, Folkman, S, Trabasso, T, Richards, TA.Appraisal and goal processes as predictors of psychological well-being in bereaved caregivers. J Pers Soc Psychol. 1997;72 (4):872884.CrossRefGoogle ScholarPubMed
10.Wortman, CB, Silver, RC.The myths of coping with loss. J Consult Clin Psychol. 1989;57 (3):349357.CrossRefGoogle ScholarPubMed
11.Bonanno, GA, Wortman, CB, Lehman, DR.Resilience to loss and chronic grief: a prospective study from preloss to 18-months postloss. J Pers Soc Psychol. 2002;83 (5):11501164.Google Scholar
12.Bonanno, GA, Moskowitz, JT, Papa, A, Folkman, S.Resilience to loss in bereaved spouses, bereaved parents, and bereaved gay men. J Pers Soc Psychol. 2005;88 (5):827843.Google Scholar
13.Bonanno, GA, Galea, S, Bucciarelli, A, Vlahov, D.Psychological resilience after disaster: New York City in the aftermath of the September 11th terrorist attack. Psychol Sci. 2006;17 (3):181186.Google Scholar
14.Fraley, RC, Fazzari, DA, Bonanno, GA, Dekel, S.Attachment and psychological adaptation in high exposure survivors of the September 11th attack on the World Trade Center. Pers Soc Psychol Bull. 2006;32 (4):538551.Google Scholar
15.Fredrickson, BL, Tugade, MM, Waugh, CE, Larkin, GR.What good are positive emotions in crises? A prospective study of resilience and emotions following the terrorist attacks on the United States on September 11th, 2001. J Pers Soc Psychol. 2003;84 (2):365376.Google Scholar
16.Bogar, CE, Hulse-Killacky, D.Resiliency determinants and resiliency processes among female adult survivors of childhood sexual abuse. J Couns Dev. 2006;84:318327.Google Scholar
17.Luthans, F, Avolio, BJ, Walumbwa, FO, Li, W.The psychological capital of Chinese workers: exploring the relationship with performance. Manage Organ Rev. 2005;1:249271.Google Scholar
18.Zhong, L.Effects of psychological capital on employee's job performance, organizational commitment, and organizational citizenship behavior. Acta Psychol Sin. 2007;39:328334.Google Scholar
19.Everly, GS Jr, Smith, KJ, Welzant, V.Cognitive-affective resilience indicia as predictors of burnout and job-related outcome. Int J Emerg Ment Health. 2008;10 (3):185189.Google Scholar
20.Rodgers, JL.The epistemology of mathematical and statistical modeling: a quiet methodological revolution. Am Psychol. 2010;65 (1):112.Google Scholar
21.Smith, KJ, Davy, JA, Everly, GS.An assessment of the contribution of stress arousal to the beyond the role stress model. Adv Account Behav Res. 2007;10:127158.Google Scholar
22.Rizzo, JR, House, RJ, Lirtzman, SI.Role conflict and role ambiguity in complex organizations. Admin Sci Q. 1970.;June:150–163.Google Scholar
23.Beehr, TA, Walsh, JT, Taber, TD.Relationship of stress to individually and organizationally valued states: higher order needs as a moderator. J Appl Psychol. 1976;61 (7):4147.Google Scholar
24.Fogarty, T, Singh, J, Rhoads, G, Moore, R.Antecedents and consequences of burnout in accounting: beyond the role stress model. Behav Res Account. 2000;12:3167.Google Scholar
25.Dubinski, A, Mattson, B.Consequences of role conflict and ambiguity experienced by retail salespeople. J Mark. 1979;55:7086.Google Scholar
26.Donnelly, J, Ivancevich, J.Role clarity and the salesman. J Mark. 1975;39:7174.Google Scholar
27.Churchill, G, Ford, N, Hartley, S, Walker, O.The determinants of salesperson performance: a meta-analysis. J Mark Res. 1985;22:103118.Google Scholar
28.Singh, J, Goolsby, J, Rhoads, G.Behavioral and psychological consequences of boundary spanning burnout for customer service representatives. J Mark Res. 1994;31:558569.Google Scholar
29.Everly, GS, Sherman, M, Smith, KJ.The development of a scale to assess behavioral health factors: the Everly Stress and Symptom Inventory. In: Feldman RH, Humphrey J, eds. Health Education: Current Selected Research. Vol II. New York: AMS Press; 1989:71-86.Google Scholar
30.Lazarus, RS, Folkman, S.Stress, Appraisal, and Coping. New York: Springer.; 1984.Google Scholar
31.Everly, GS, Sobelman, SA.Assessment of the Human Stress Response. New York: AMS Press.; 1987.Google Scholar
32.Smith, KJ, Davy, JA, Stewart, BR.A comparative study of the antecedents and consequences of job dissatisfaction and turnover intentions among women and men in public accounting firms. Adv Public Interest Accounting. 1998;7:193227.Google Scholar
33.Smith, KJ, Everly, GS, Johns, T.The role of stress arousal in the dynamics of the stressor-to-illness process among accountants. Contemp Account Res. 1993;9:432449.Google Scholar
34.Bentler, PM, Wu, JC.EQS for Windows User's Guide. Encino, CA: Multivariate Software.; 1995.Google Scholar
35.Anderson, J, Gerbing, D.Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull. 1988;103:411423.Google Scholar
36.Bentler, PM.EQS Structural Equations Program Manual. Encino, CA: Multivariate Software; 1995.Google Scholar
37.Bentler, PM.Comparative fit indexes in structural models. Psychol Bull. 1990;107 (2):238246.Google Scholar
38.Rebele, JE, Michaels, RE.Independent auditors' role stress: antecedent, outcome, and moderating variables. Behav Res Account. 1990;2:124153.Google Scholar
39.Fogarty, TJ.An examination of job tension and coping in the relationship between stressors and outcomes in public accounting. J Manag Issue. 1996;8:269285.Google Scholar
40.Sweeney, J, Summers, S.The effect of the busy season workload on public accountants' job burnout. Behav Res Account. 2002;14:223245.Google Scholar
41.Viator, RE.The association of formal and informal public accounting mentoring with role stress and related job outcomes. Account Organ Soc. 2001;26:7393.Google Scholar
42.Kahn, RL, Wolfe, DM, Quinn, RP, Snoek, JD.Organizational Stress: Studies in Role Conflict and Ambiguity. New York: Wiley; 1964.Google Scholar
43.Mackey, CJ, Cooper, CL.International Review of Industrial and Organizational Psychology. In: Cooper CL, Robertson IT, eds. New York: John Wiley & Sons; 1987:chap 6.Google Scholar
44.James, LR, Mulaik, SA, Brett, JM.Causal Analysis: Assumptions/Models, and Data. Beverly Hills, CA: Sage Publications; 1982.Google Scholar
45.LePine, J, Podsakoff, N, LePine, M.A meta analysis test of challenge stressor-hindrance stressor framework: an explanation for inconsistent relationships among stressors and performance. Acad Manage J. 2005;48:764775.Google Scholar