Beyond Role Conflict and Ambiguity: A Global Measure of Role Stress among South African School Teachers

Más allá del conflicto y la ambigüedad de roles: una medida global del estrés de rol entre los profesores sudafricanos

Abstract


Background. Role stress is linked to reduced work performance, diminished organizational commitment, increased intention to leave a job, and negative physical and mental health effects. Given the significant implications of role stress, researchers have sought to understand and quantify the concept. The Role Conflict and Ambiguity (RCA) scales are widely utilized in job stress research as the predominant measurement tools. They were originally conceptualized as consisting of two independent dimensions: role conflict and role ambiguity.


Objective. This study advances the validation research of the RCA scales by exploring its dimensionality through Mokken Scale Analysis (MSA) and Classical Test Theory (CTT).


Method. South African school teachers responded to the RCA scales, Maslach Burnout Inventory, and Teaching Satisfaction Scale. Confirmatory Factor Analysis (CFA) and MSA were employed for data analysis.


Results. The research determined that a second-order model provided the optimal fit, indicating that role ambiguity and role conflict are subordinate dimensions within the overarching construct of role stress.


Conclusion. The findings from the CFA and supplementary bifactor indices reinforce the view that the instrument comprises 13 items, which assess a general dimension of role stress along with two sub-dimensions: role conflict and role ambiguity. Such specificity may lead to more effective strategies to mitigate role-related stress, thereby enhancing overall employee well-being, job satisfaction, and organizational productivity.


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Authors


Anita Padmanabhanunni Department of Psychology; University of the Western Cape; Cape Town; South Africa.
Tyrone Brian Pretorius Department of Psychology; University of the Western Cape; Cape Town; South Africa.

References


Zhang Y, Crant JM, Weng Q. Role stressors and counterproductive work behavior: The role of negative affect and proactive personality. Int J Sel. Assess [Internet]. 2019;27(3):267-79. doi: https://doi.org/10.1111/ijsa.12255 DOI: https://doi.org/10.1111/ijsa.12255

Rizzo JR, House RJ, Lirtzman SI. Role Conflict and Ambiguity in Complex Organizations. Adm Sci Q [Internet]. 1970;15(2):150-63. doi: https://doi.org/10.2307/2391486 DOI: https://doi.org/10.2307/2391486

Fitzgerald A. Professional identity: A concept analysis. Nurs Forum [Internet]. 2020;55(3):447-72. doi: https://doi.org/10.1111/nuf.12450 DOI: https://doi.org/10.1111/nuf.12450

Biddle BJ. Recent Developments in Role Theory. Annu Rev Sociol [Internet]. 1986;12(1):67-92. doi: https://doi.org/10.1146/annurev.so.12.080186.000435 DOI: https://doi.org/10.1146/annurev.so.12.080186.000435

Sun L, Gao Y, Yang J, Zang X-Y, Wang Y-G. The impact of professional identity on role stress in nursing students: A cross-sectional study. Int J Nurs Stud [Internet]. 2016;63:1-8. doi: https://doi.org/10.1016/j.ijnurstu.2016.08.010 DOI: https://doi.org/10.1016/j.ijnurstu.2016.08.010

Chen H, Liu F, Pang L, Liu F, Fang T, Wen Y, et al. Are You Tired of Working amid the Pandemic? The Role of Professional Identity and Job Satisfaction against Job Burnout. Int J Environ Res Public Health [Internet]. 2020;17(24):1-14. doi: https://doi.org/10.3390/ijerph17249188 DOI: https://doi.org/10.3390/ijerph17249188

Yang S, Qiu Y, He J. Meta-analysis of the impact of role stress on the turnover intention of medical staff in tertiary hospitals. Ann Palliat Med [Internet]. 2021;10(1):469-78. doi: https://doi.org/10.21037/apm-20-2446 DOI: https://doi.org/10.21037/apm-20-2446

Salari N, Khazaie H, Hosseinian-Far A, Khaledi-Paveh B, Kazeminia M, Mohammadi M, et al. The prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients: a systematic review and meta-regression. Hum Resour Health [Internet]. 2020;18(1):100-14. doi: https://doi.org/10.1186/s12960-020-00544-1 DOI: https://doi.org/10.1186/s12960-020-00544-1

Sarboozi Hoseinabadi T, Kakhki S, Teimori G, Nayyeri S. Burnout and its influencing factors between frontline nurses and nurses from other wards during the outbreak of Coronavirus Disease -COVID-19- in Iran. Invest Educ Enferm [Internet]. 2020;38(2). doi: https://doi.org/10.17533/udea.iee.v38n2e03 DOI: https://doi.org/10.17533/udea.iee.v38n2e03

Herman KC, Sebastian J, Reinke WM, Huang FL. Individual and school predictors of teacher stress, coping, and wellness during the COVID-19 pandemic. Sch Psychol [Internet]. 2021;36(6):483-93. doi: https://doi.org/10.1037/spq0000456 DOI: https://doi.org/10.1037/spq0000456

Kang S-E, Park C, Lee C-K, Lee S. The Stress-Induced Impact of COVID-19 on Tourism and Hospitality Workers. Sustainability [Internet]. 2021;13(3):1-17. doi: https://doi.org/10.3390/su13031327 DOI: https://doi.org/10.3390/su13031327

Yıldırım M, Arslan G, Özaslan A. Perceived Risk and Mental Health Problems among Healthcare Professionals during COVID-19 Pandemic: Exploring the Mediating Effects of Resilience and Coronavirus Fear. Int J Ment Health Addict [Internet]. 2022;20(2):1035-45. doi: https://doi.org/10.1007/s11469-020-00424-8 DOI: https://doi.org/10.1007/s11469-020-00424-8

Shahrour G, Dardas LA. Acute stress disorder, coping self‐efficacy and subsequent psychological distress among nurses amid COVID‐19. J Nurs Manag [Internet]. 2020;28(7):1686-95. doi: https://doi.org/10.1111/jonm.13124 DOI: https://doi.org/10.1111/jonm.13124

Gupta S, Sahoo S. Pandemic and mental health of the front-line healthcare workers: a review and implications in the Indian context amidst COVID-19. Gen Psychiatr [Internet]. 2020;33(5):e100284-e. doi: https://doi.org/10.1136/gpsych-2020-100284 DOI: https://doi.org/10.1136/gpsych-2020-100284

Khlaif ZN, Salha S, Affouneh S, Rashed H, ElKimishy LA. The Covid-19 epidemic: teachers’ responses to school closure in developing countries. Technol Pedagogy Educ [Internet]. 2021;30(1):95-109. doi: https://doi.org/10.1080/1475939X.2020.1851752 DOI: https://doi.org/10.1080/1475939X.2020.1851752

Padmanabhanunni A, Pretorius T. “I Teach, Therefore I Am”: The Serial Relationship between Perceived Vulnerability to Disease, Fear of COVID-19, Teacher Identification and Teacher Satisfaction. Int J Env Res Public Health [Internet]. 2021;18(24):1-9. doi: https://doi.org/10.3390/ijerph182413243 DOI: https://doi.org/10.3390/ijerph182413243

Zang N, Cao H, Zhou N, Jiang L, Li B. Job load, job stress, and job exhaustion among Chinese junior middle school teachers: Job satisfaction as a mediator and teacher’s role as a moderator. Soc Psychol Educ [Internet]. 2022:1-28:1003-30. doi: https://doi.org/10.1007/s11218-022-09719-1 DOI: https://doi.org/10.1007/s11218-022-09719-1

King LA, King DW. Role Conflict and Role Ambiguity: A Critical Assessment of Construct Validity. Psychol Bull [Internet].1990;107(1):48-64. doi: https://doi.org/10.1037/0033-2909.107.1.48 DOI: https://doi.org/10.1037//0033-2909.107.1.48

House RJ, Schuler RS, Levanoni E. Role conflict and ambiguity scales: Reality or artifacts? J Appl Psychol [Internet]. 1983;68(2):334-7. doi: https://doi.org/10.1037/0021-9010.68.2.334 DOI: https://doi.org/10.1037//0021-9010.68.2.334

Netemeyer RG, Johnston MW, Burton S. Analysis of Role Conflict and Role Ambiguity in a Structural Equations Framework. J Appl Psychol [Internet]. 1990;75(2):148-57. doi: https://doi.org/10.1037/0021-9010.75.2.148 DOI: https://doi.org/10.1037//0021-9010.75.2.148

Smith CS, Tisak J, Schmieder RA. The measurement properties of the role conflict and role ambiguity scales: A review and extension of the empirical research. J Organ Behav [Internet]. 1993;14(1):37-48. doi: https://doi.org/10.1002/job.4030140105 DOI: https://doi.org/10.1002/job.4030140105

McGee GW, Ferguson CE, Seers A. Role Conflict and Role Ambiguity: Do the Scales Measure These Two Constructs? J Appl Psychol [Internet]. 1989;74(5):815-8. doi: https://doi.org/10.1037/0021-9010.74.5.815 DOI: https://doi.org/10.1037//0021-9010.74.5.815

Tracy L, Johnson TW. Measurement of role stress: dimensionality of scale items. Soc Behav Pers [Internet]. 1983;11(1):1-7. doi: https://doi.org/10.2224/sbp.1983.11.1.1 DOI: https://doi.org/10.2224/sbp.1983.11.1.1

Khan A, Yusoff RBM, Khan MM, Yasir M, Khan F. Psychometric Analysis of Role Conflict and Ambiguity Scales in Academia. Int Educ Stud [Internet]. 2014;7(8):104-12. doi: https://doi.org/10.5539/ies.v7n8p104 DOI: https://doi.org/10.5539/ies.v7n8p104

Özbağ GK, Çekmecelioğlu HG, Ceyhun GÇ. Exploring the Effects of Perceived Organizational Impediments and Role Stress on Job Performance. Procedia Soc Behav Sci [Internet]. 2014;150:1129-36. doi: https://doi.org/10.1016/j.sbspro.2014.09.128 DOI: https://doi.org/10.1016/j.sbspro.2014.09.128

Kroupis I, Kourtessis T, Kouli O, Tzetzis G, Derri V, Mavrommatis G. Job satisfaction and burnout among Greek P.E. teachers. A comparison of educational sectors, level and gender. Cult. Cienc. y Deporte [Internet]. 2017;12(34):5-14. doi: https://doi.org/10.12800/ccd.v12i34.827 DOI: https://doi.org/10.12800/ccd.v12i34.827

Lu M-H, Luo J, Chen W, Wang M-C. The influence of job satisfaction on the relationship between professional identity and burnout: A study of student teachers in Western China. Curr Psychol [Internet]. 2022;41(1):289-97. doi: https://doi.org/10.1007/s12144-019-00565-7 DOI: https://doi.org/10.1007/s12144-019-00565-7

OECD. TALIS - The OECD Teaching and Learning International Survey. 2018 TALIS Results: Teachers and School Leaders as Lifelong Learners and Valued Professionals [Internet]. France: OECD. Available from: https://www.oecd.org/education/talis/

Maslach C, Jackson SE. The Measurement of Experienced Burnout. J Occup Behav [Internet]. 1981;2(2):99-113. doi: https://doi.org/10.1002/job.4030020205 DOI: https://doi.org/10.1002/job.4030020205

Ho C-L, Au W-T. Teaching Satisfaction Scale: Measuring Job Satisfaction of Teachers. Educ Psychol Meas [Internet]. 2006;66(1):172-85. doi: https://doi.org/10.1177/0013164405278573 DOI: https://doi.org/10.1177/0013164405278573

Sijtsma K, van der Ark LA. A tutorial on how to do a Mokken scale analysis on your test and questionnaire data. Br J Math Stat Psychol [Internet]. 2017;70(1):137-58. doi: https://doi.org/10.1111/bmsp.12078 DOI: https://doi.org/10.1111/bmsp.12078

Stochl J, Jones PB, Croudace TJ. Mokken scale analysis of mental health and well-being questionnaire item responses: a non-parametric IRT method in empirical research for applied health researchers. BMC Med Res Methodol [Internet]. 2012;12(1):1-16. doi: https://doi.org/10.1186/1471-2288-12-74 DOI: https://doi.org/10.1186/1471-2288-12-74

Mokken RJ. A theory and procedure of scale analysis. The Hague, Netherlands: De Gruyter Mouton; 2011. 364 p.

van der Ark LA. New developments in Mokken scale analysis in R. J Stat Softw [Internet]. 2012;48(5):1-27. doi: https://doi.org/10.18637/jss.v048.i05 DOI: https://doi.org/10.18637/jss.v048.i05

R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing Vienna, Austria: R Foundation for Statistical Computing; 2013. Available from: http://www.R-project.org/

DeVon HA, Block ME, Moyle-Wright P, Ernst DM, Hayden SJ, Lazzara DJ, et al. A Psychometric Toolbox for Testing Validity and Reliability. J Nurs Scholarsh [Internet]. 2007;39(2):155-64. doi: https://doi.org/10.1111/j.1547-5069.2007.00161.x DOI: https://doi.org/10.1111/j.1547-5069.2007.00161.x

Jöreskog KG, Olsson UH, Wallentin FY. Confirmatory factor analysis (CFA). In: Jöreskog KG, Olsson UH, Wallentin FY, editors. Multivariate analysis with LISREL: Springer; 2016. p. 283-339. DOI: https://doi.org/10.1007/978-3-319-33153-9_7

Dueber DM. Bifactor Indices Calculator: A Microsoft Excel-based tool to calculate various indices relevant to bifactor CFA models. Educational, School, and Counseling Psychology Research Tools. University of Kentucky’s Institutional Repository. 2017. doi: https://doi.org/10.13023/edp.tool.01

Reise SP, Scheines R, Widaman KF, Haviland MG. Multidimensionality and Structural Coefficient Bias in Structural Equation Modeling: A Bifactor Perspective. Educ Psychol Meas [Internet]. 2013;73(1):5-26. doi: https://doi.org/10.1177/0013164412449831 DOI: https://doi.org/10.1177/0013164412449831

Reise SP, Bonifay WE, Haviland MG. Scoring and Modeling Psychological Measures in the Presence of Multidimensionality. J Person Assess [Internet]. 2013;95(2):129-40. doi: https://doi.org/10.1080/00223891.2012.725437 DOI: https://doi.org/10.1080/00223891.2012.725437

Yaacob M, Long CS. Role of Occupational Stress on Job Satisfaction. Mediterr J Soc Sci [Internet]. 2015;6(2 Suppl 1):81-7. doi: https://doi.org/10.5901/mjss.2015.v6n2s1p81 DOI: https://doi.org/10.5901/mjss.2015.v6n2s1p81

R Richards KA, Washburn NS, Hemphill MA. Exploring the influence of perceived mattering, role stress, and emotional exhaustion on physical education teacher/coach job satisfaction. Eur Phy Educ Rev [Internet]. 2019;25(2):389-408. doi: https://doi.org/10.1177/1356336X17741402 DOI: https://doi.org/10.1177/1356336X17741402

Xu L. Teacher-researcher role conflict and burnout among Chinese university teachers: a job demand-resources model perspective. Stud High Educ [Internet]. 2019;44(6):903-19. doi: https://doi.org/10.1080/03075079.2017.1399261 DOI: https://doi.org/10.1080/03075079.2017.1399261

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