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Cited by 138Stress and Burnout ResearchOccupational Health and BurnoutPsychometric Methodologies and Testing

Evaluating the Psychometric Properties of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) among Italian Nurses: How Many Factors Must a Researcher Consider?

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Loera, Barbara, Converso, Daniela, Viotti, Sara·2014·PLoS ONE
DOI 10.1371/journal.pone.0114987PMC PMC4264862
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Abstract

BACKGROUND: The Maslach Burnout Inventory (MBI) is the mainstream measure for burnout. However, its psychometric properties have been questioned, and alternative measurement models of the inventory have been suggested. AIMS: Different models for the number of items and factors of the MBI-HSS, the version of the Inventory for the Human Service sector, were tested in order to identify the most appropriate model for measuring burnout in Italy. METHODS: The study dataset consisted of a sample of 925 nurses. Ten alternative models of burnout were compared using confirmatory factor analysis. The psychometric properties of items and reliability of the MBI-HSS subscales were evaluated. RESULTS: Item malfunctioning may confound the MBI-HSS factor structure. The analysis confirmed the factorial structure of the MBI-HSS with a three-dimensional, 20-item assessment. CONCLUSIONS: The factorial structure underlying the MBI-HSS follows Maslach's definition when items are reduced from the original 22 to a 20-item set. Alternative models, either with fewer items or with an increased number of latent dimensions in the burnout structure, do not yield better results to justify redefining the item set or theoretically revising the syndrome construct.

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  1. [2]Maslach C, Jackson SE (1986) Maslach Burnout Inventory Manual, 2nd Edition. Palo Alto: Consulting Psychologists Press.
  2. [4]Schaufeli WB, Leiter MP, Maslach C, Jackson SE (1996) The Maslach Burnout Inventory-General Survey. In Maslach C, Jackson SE, Leiter MP editors, Maslach Burnout Inventory 3rd Edition. Palo Alto: Consulting Psychologists Press, 19–26.
  3. [5]Worley J, Vassar W, Wheeler DL, Barnes LB (2008) Factor structure of scores from the Maslach Burnout Inventory: A review and meta-analysis of 45 exploratory and confirmatory factor-analytic studies. Educ Psychol Meas. 68: 797– 823 10.1177/0013164408315268 · DOI
  4. [6]Olivares-Faundez VE, Gil-Monte PR (2009) Análisis de las principales fortalezas y debilidades del Maslach Burnout Inventory (MBI). Ciencia y Trabajo. 33: 160– 167 10.1016/0092-6566(81)90035-0 · DOI
  5. [7]Wheeler DL, Vassar M, Worley JA, Barnes LB (2011) A reliability generalization meta-analysis of coefficient alpha for the Maslach Burnout Inventory. Educ Psychol Meas. 71: 231– 244 10.1177/0013164410391579 · DOI
  6. [8]Kalliath TJ, O’ Driscoll MP, Gillespie DF, Bluedorn AC (2000) A test of the Maslach Burnout Inventory in three samples of healthcare professionals. Work Stress. 14: 35– 50 10.1080/026783700417212 · DOI
  7. [9]Beckstead JW (2002) Confirmatory factor analysis of the Maslach Burnout Inventory among Florida nurses. Int J Nurs Stud. 39: 785– 792 10.1016/S0020-7489(02)00012-3 12379296 · DOI · Paper page
  8. [10]Kim H, Ji J (2009) Factor Structure and Longitudinal Invariance of the Maslach Burnout Inventory. Res Soc Work Pract. 19: 325– 339 10.1177/1049731508318550 · DOI
  9. [11]Chao SF, McCallion P, Nickle T (2011) Factorial validity and consistency of the Maslach Burnout Inventory among staff working with persons with intellectual disability and dementia. J Intellect Disabil Res. 55: 529– 536 10.1111/j.1365-2788.2011.01413.x 21418367 · DOI
  10. [12]Densten IL (2001) Re-thinking burnout. J Organ Behav. 22: 833– 843 10.1002/job.115 · DOI
  11. [15]Schaufeli WB, Bakker AB, Hoognuin K, Schaap C, Kladler A (2001) On the clinical validity of the Maslach Burnout Inventory and the Burnout Measure. Psychol Health. 16: 565– 582 10.1080/08870440108405527 22804499 · DOI
  12. [16]Richardsen AM, Martinussen M (2004) The Maslach Burnout Inventory: Factorial validity and consistency across occupational groups in Norway. J Occup Organ Psychol. 77: 377– 384 10.1348/0963179041752691 · DOI
  13. [17]Hallberg UE, Sverke M (2004) Construct validity of the Maslach Burnout Inventory: Two Swedish health care samples. Eur J Psychol Assess. 20: 320– 338 10.1027/1015-5759.20.4.320 · DOI
  14. [18]Kanste O, Miettunen J, Kyngas H (2006) Factor structure of the Maslach Burnout Inventory among Finnish nursing staff. Nurs Health Sci. 8: 201– 207 10.1111/j.1442-2018.2006.00283.x 17081145 · DOI
  15. [19]Vanheule S, Rosseel Y, Vlerick P (2007) The factorial validity and measurement invariance of the Maslach Burnout Inventory for human services. Stress Health. 23: 87– 91 10.1002/smi.1124 · DOI
  16. [20]Mészáros V, Ádám S, Szabó M, Szigeti R, Urbán R (2013) The Bifactor Model of the Maslach Burnout Inventory–Human Services Survey (MBI-HSS): An alternative measurement model of burnout. Stress Health. 30: 82– 88 10.1002/smi.2481 23349135 · DOI
  17. [21]Pisanti R, Lombardo C, Lucidi F, Violani C, Lazzari D (2013) Psychometric properties of the Maslach Burnout Inventory for Human Services among Italian nurses: A test of alternative models, J Adv Nurs. 69: 697– 707 10.1111/j.1365-2648.2012.06114.x 22897490 · DOI
  18. [22]Lee H, Chein T, Yen M (2013) Examining factor structure of Maslach burnout inventory among nurses in Taiwan. J Nurs Manag. 21: 648– 656 10.1111/j.1365-834.2012.01427.x 23410056 · DOI
  19. [23]Oh S, Lee M (2009) Examining the psychometric properties of the Maslach Burnout Inventory with a sample of child protective service workers in Korea. Child Youth Serv Rev. 31: 206– 210 10.1016/j.childyouth.2008.07.012 · DOI
  20. [24]Poghosyan L, Aiken LH, Sloane DM (2009) Factor structure of the Maslach Burnout Inventory: an analysis of data from large scale cross-sectional surveys of nurses from eight countries. Int J Nurs Stud. 46: 894– 902 10.1016/j.ijnurstu.2009.03.004 19362309 PMC2700194 · DOI
  21. [25]Maslach C, Jackson SE, Leiter MP (1996) Maslach Burnout Inventory Manual, 3rd Edition. Palo Alto: Consulting Psychologists Press.
  22. [26]Green DE, Walkey FH, Taylor AJ (1991) The three-factor structure of the Maslach Burnout Inventory: A multicultural, multinational confirmatory study. J Soc Behav Pers. 6: 453– 472 10.1177/001316448904900305 · DOI
  23. [28]Ziegler M, Bensch D (2013) Lost in translation: Thoughts regarding the translation of existing psychological measures into other languages. Eur J Psychol Assess. 29: 81– 83 10.1027/1015-5759/a000167 · DOI
  24. [34]Paulhus DL (1991) Measurement and control of response bias. In Robinson JP, Shaver PR, Wrightsman LS editors, Measures of personality and social psychological attitudes, San Diego: Academic Press, 17–59.
  25. [35]Zerbe WJ, Paulhus DL (1987) Socially desirable responding in organizational behavior: A reconception. Academy Manage Rev. 12: 250– 264 http://www.jstor.org/stable/258533
  26. [36]Boyle GJ (1985) Self-report measures of depression: Some psychometric considerations, Br J Clin Psychol. 24: 45– 59 10.1111/j.2044-8260.1985.tb01312.x 3971068 · DOI
  27. [37]Boyle GJ (1991) Does item homogeneity indicate internal consistency or item redundancy in psychometric scales? Pers Individ Dif. 12: 291– 294 10.1016/0191-8869(91)90115-R · DOI
  28. [38]Bollen KA (1989) Structural Equations with Latent Variables. New York: John Wiley & Sons.
  29. [39]Smith GT, McCarthy DM, Anderson KG (2000) On the sins of short-form development. Psychol Assess. 12: 102– 111 10.1037/1040-3590.12.1.102. 10752369 · DOI
  30. [41]Bentler PM (1990) Comparative fit indexes in structural models. Psychol Bull. 107: 238– 246 10.1037/0033-2909.107.2.238 2320703 · DOI · Paper page
  31. [42]Bentler PM, Bonett DG (1980) Significance tests and goodness of fit in the analysis of covariance structures. Psychol Bull. 88: 588– 606 10.1037/0033-2909.88.3.588 · DOI
  32. [47]Hu L, Bentler FB (1999) Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling. 6: 1– 55 10.1080/10705519909540118 · DOI · Paper page
  33. [49]Browne MW, Cudeck R (1989) Single sample cross-validation indices for covariance structures. Multivariate Behav Res. 24: 445– 455 10.1207/s15327906mbr2404_4 26753509 · DOI
  34. [50]Satorra A, Bentler PM (2001) A scaled difference chi-square test statistic for moment structure analysis. Psychometrika. 66: 507– 514 10.1007/BF02296192 PMC2905175 20640194 · DOI · Paper page
  35. [51]Bryant FB, Satorra A (2012) Principles and practice of scaled difference chi-square testing. Struct Equ Modeling. 19: 372– 398 10.1080/10705511.2012.687671 · DOI
  36. [53]Viotti S, Converso D, Loera B (2012) Job satisfaction, job burnout and their relationships with work’ and patients’ characteristics: a comparison between intensive care units (ICU) and not-intensive care units (not-ICU). G Ital MedLav Erg. 34: B52– B60. 23326940
  37. [54]Loera B, Gattino S, Converso D (2013) Giustizia organizzativa, supporto sociale e burnout tra lavoratori della Sanità: effetti diretti e di moderazione. Psicologia della Salute. 1: 27– 48 10.3280/PDS2013-001002 · DOI

Cited by

Sorted by citations

Authors
Loera, B., Converso, D., & Viotti, S.
Affiliations
University of Turin (IT)
Corresponding author
Converso, Daniela
ORCID
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2014-12-12
Volume
9
Issue
12
Pages
e114987
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0114987
PMC
PMC4264862
OpenAlex
W1984800072
Cited by
138
References
8
Citations by year
2026: 2 · 2025: 8 · 2024: 11 · 2023: 9 · 2022: 17 · 2021: 15 · 2020: 14 · 2019: 17 · 2018: 22 · 2017: 13 · 2016: 3 · 2015: 7
FWCI
11.37
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Fondazione CRT
  • Università degli Studi di Torino
  • Regione Piemonte
Topics
  • Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
  • Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Burnout
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Keywords
Maslach Burnout Inventory-Human Services Survey, burnout, nurses, psychometric properties, factor structure, reliability statistics, Italian nurses, human service workers
MeSH terms
Burnout, Professional, Humans, Italy, Models, Psychological, Nurses, Psychometrics

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