IDEAS home Printed from https://ideas.repec.org/a/wly/accper/v13y2014i1p29-59.html
   My bibliography  Save this article

An Assessment of the Psychometric Properties of the Perceived Stress Scale‐10 (PSS10) with Business and Accounting Students

Author

Listed:
  • Kenneth J. Smith
  • Donald L. Rosenberg
  • G. Timothy Haight

Abstract

Using a sample of 557 undergraduate business students from three U.S. comprehensive universities, this study examined: (a) the factor structure of the Perceived Stress Scale‐10 (PSS10; Cohen and Williamson, 1988); (b) the invariance of its factor structure; (c) the scale's reliability; and (d) its convergent and divergent validity. Confirmatory factor analyses supported a structure with two primary factors, General Distress and Ability‐to‐Cope, loading on a single second‐order factor, Perceived Stress. Furthermore, this model was confirmed for designated subpopulations including the 264 accounting majors who participated in the study. Notably absent in prior research, this study found two items, numbers 2 and 9, to load significantly on both the General Distress and Ability‐to‐Cope factors with men and the full sample, respectively. Item–total correlations, coefficient alphas, and Spearman‐Brown reliability coefficients supported the reliability of the items loading on the full scale as well as on each of the two primary factors. Combined, these findings provide compelling evidence in support of the PSS10 as a stress assessment measure for business students in general, and accounting students in particular. In fact, given its practical expediency in terms of administration and scoring, the PSS10 appears to be a tool that could be used by university administrators and potentially by human resource personnel at accounting and business organizations to assess student/employee perceived stress levels before the onset of burnout tendencies, thus facilitating more timely and cost‐effective intervention strategies. Dans l'analyse d'un échantillon de 557 étudiants de premier cycle en gestion, provenant de trois universités polyvalentes des États‐Unis, les auteurs étudient a) la structure factorielle de l’échelle de stress perçu à 10 items (Perceived Stress Scale‐10 — PSS10, Cohen et Williamson, 1988) ; b) l'invariance de sa structure factorielle ; c) la fiabilité de l’échelle ; et d) sa validité convergente et divergente. Les analyses factorielles confirmatoires accréditent une structure comportant deux facteurs essentiels, l'anxiété générale et la capacité de faire face, avec saturation d'un seul facteur de second ordre, le stress perçu. En outre, ce modèle est confirmé pour des sous‐populations définies regroupant les 264 étudiants de majeure en comptabilité ayant participé à l’étude. Les observations des auteurs révèlent que les items 2 et 9, dont l'absence est notable dans les études précédentes, saturent sensiblement les facteurs d'anxiété générale et de capacité de faire face chez les répondants masculins et l'ensemble de l’échantillon respectivement. Les corrélations item‐total, les coefficients alpha et les coefficients de fiabilité Spearman‐Brown confirment la fiabilité de la conclusion selon laquelle ces items saturent l'ensemble de l’échelle ainsi que les deux facteurs essentiels. Ces observations réunies démontrent clairement que la PSS10 est une mesure valable d’évaluation du stress chez les étudiants en gestion de façon générale, et chez les étudiants en comptabilité en particulier. En fait, compte tenu de son efficacité sur le plan de l'administration et de la notation, la PSS10 est un instrument qui, semble‐t‐il, pourrait être utilisé par les gestionnaires des universités et le personnel des services des ressources humaines des organismes de comptabilité et de gestion pour évaluer les degrés de stress perçu chez les étudiants ou les employés avant que ne survienne l’épuisement professionnel, ce qui faciliterait l’élaboration plus rapide de stratégies d'intervention plus économiques.

Suggested Citation

  • Kenneth J. Smith & Donald L. Rosenberg & G. Timothy Haight, 2014. "An Assessment of the Psychometric Properties of the Perceived Stress Scale‐10 (PSS10) with Business and Accounting Students," Accounting Perspectives, John Wiley & Sons, vol. 13(1), pages 29-59, March.
  • Handle: RePEc:wly:accper:v:13:y:2014:i:1:p:29-59
    DOI: 10.1111/1911-3838.12023
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1911-3838.12023
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1911-3838.12023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jelinek, Ronald & Jelinek, Kate, 2008. "Auditors gone wild: The "other" problem in public accounting," Business Horizons, Elsevier, vol. 51(3), pages 223-233.
    2. Kenneth J. Smith & George S. Everly & Tony R. Johns, 1993. "The Role of Stress Arousal in the Dynamics of the Stressor†to†Illness Process among Accountants," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 432-449, March.
    3. Shaher H. Hamaideh, 2011. "Stressors and Reactions to Stressors Among University Students," International Journal of Social Psychiatry, , vol. 57(1), pages 69-80, January.
    4. Albert Satorra & Peter Bentler, 2001. "A scaled difference chi-square test statistic for moment structure analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 507-514, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. David J. Emerson & Joseph F. Hair & Kenneth J. Smith, 2023. "Psychological Distress, Burnout, and Business Student Turnover: The Role of Resilience as a Coping Mechanism," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(2), pages 228-259, March.
    2. Smith, Kenneth J. & Emerson, David J. & Haight, Timothy D. & Mauldin, Shawn & Wood, Bob G., 2019. "An examination of the psychometric properties of the Connor-Davidson Resilience Scale-10 (CD-RISC10) among accounting and business students," Journal of Accounting Education, Elsevier, vol. 47(C), pages 48-62.
    3. Ying Jiang & Yan-Jun Guan & Da-Wei Dai & Wei Huang & Zhen-Yu Huang, 2019. "Prevalence of stress and its determinants among residents enrolled in China Standardized Training Program for Resident Doctor (C-STRD) program: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-12, January.
    4. Smith, Kenneth J. & Emerson, David J., 2014. "An assessment of the psychometric properties of the Perceived Stress Scale-10 (PSS10) with a U.S. public accounting sample," Advances in accounting, Elsevier, vol. 30(2), pages 309-314.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Smith, Kenneth J. & Emerson, David J., 2014. "An assessment of the psychometric properties of the Perceived Stress Scale-10 (PSS10) with a U.S. public accounting sample," Advances in accounting, Elsevier, vol. 30(2), pages 309-314.
    2. Ruth Hancock & Marcello Morciano & Stephen Pudney & Francesca Zantomio, 2015. "Do household surveys give a coherent view of disability benefit targeting?: a multisurvey latent variable analysis for the older population in Great Britain," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 815-836, October.
    3. Dara M Wald & Susan K Jacobson, 2014. "A Multivariate Model of Stakeholder Preference for Lethal Cat Management," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
    4. Sai-fu Fung & Esther Oi-wah Chow & Chau-kiu Cheung, 2020. "Development and Evaluation of the Psychometric Properties of a Brief Wisdom Development Scale," IJERPH, MDPI, vol. 17(8), pages 1-14, April.
    5. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    6. Laura Castro-Schilo & Barbara L. Fredrickson & Dan Mungas, 2019. "Association of Positive Affect with Cognitive Health and Decline for Elder Mexican Americans," Journal of Happiness Studies, Springer, vol. 20(8), pages 2385-2400, December.
    7. Zi Jia Ng & Eugene Scott Huebner & Alberto Maydeu-Olivares & Kimberly Joy Hills, 2018. "Confirmatory Factor Analytic Structure and Measurement Invariance of the Brief Multidimensional Students’ Life Satisfaction Scale (BMSLSS) in a Longitudinal Sample of Adolescents," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(4), pages 1237-1247, August.
    8. Junjiao Feng & Liang Zhang & Chunhui Chen & Jintao Sheng & Zhifang Ye & Kanyin Feng & Jing Liu & Ying Cai & Bi Zhu & Zhaoxia Yu & Chuansheng Chen & Qi Dong & Gui Xue, 2022. "A cognitive neurogenetic approach to uncovering the structure of executive functions," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    9. Michael Sheppard, 2020. "The relationship between discretionary slack and growth in small firms," International Entrepreneurship and Management Journal, Springer, vol. 16(1), pages 195-219, March.
    10. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
    11. Jorge Sinval & M. Joseph Sirgy & Dong-Jin Lee & João Marôco, 2020. "The Quality of Work Life Scale: Validity Evidence from Brazil and Portugal," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(5), pages 1323-1351, November.
    12. Ana Villar & César Camisón & Montserrat Boronat, 2007. "Technical Strategic Alliances And Performance: The Mediating Effect Of Knowledge ¿Based Competencies," Working Papers. Serie EC 2007-11, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    13. Garrido-Moreno, Aurora & Padilla-Meléndez, Antonio, 2011. "Analyzing the impact of knowledge management on CRM success: The mediating effects of organizational factors," International Journal of Information Management, Elsevier, vol. 31(5), pages 437-444.
    14. Lars Petersen & Jacob Hörisch & Kathleen Jacobs, 2021. "Worse is worse and better doesn't matter?: The effects of favorable and unfavorable environmental information on consumers’ willingness to pay," Journal of Industrial Ecology, Yale University, vol. 25(5), pages 1338-1356, October.
    15. P. Couper, Mick & Cernat, Alexandru & Beth Ofstedal, Mary, 2015. "Estimation of mode effects in the Health and Retirement Study using measurement models," ISER Working Paper Series 2015-19, Institute for Social and Economic Research.
    16. Nizar Allouch & Arkadi Predtetchinski, 2008. "On the non-emptiness of the fuzzy core," International Journal of Game Theory, Springer;Game Theory Society, vol. 37(2), pages 203-210, June.
    17. Juliana Toro-Arias & Pablo Ruiz-Palomino & María Pilar Rodríguez-Córdoba, 2022. "Measuring Ethical Organizational Culture: Validation of the Spanish Version of the Shortened Corporate Ethical Virtues Model," Journal of Business Ethics, Springer, vol. 176(3), pages 551-574, March.
    18. Ali Mashuri & Esti Zaduqisti & Miftahul Ula, 2017. "A Majority Group’s Perspective-taking Towards a Minority Group," Psychology and Developing Societies, , vol. 29(1), pages 44-73, March.
    19. Monica Pedrazza & Elena Trifiletti & Sabrina Berlanda & Gian Antonio Di Bernardo, 2013. "Self-Efficacy in Social Work: Development and Initial Validation of the Self-Efficacy Scale for Social Workers," Social Sciences, MDPI, vol. 2(3), pages 1-17, September.
    20. Mi Hyang Hwang & Leslie Bunt & Catherine Warner, 2023. "An Eight-Week Zen Meditation and Music Programme for Mindfulness and Happiness: Qualitative Content Analysis," IJERPH, MDPI, vol. 20(23), pages 1-22, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:accper:v:13:y:2014:i:1:p:29-59. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1911-3838 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.