The validation of the Maslach Burnout Inventory – Human services survey for emergency medical technicians in Gauteng

Abstract

The objectives of this study were to validate the Maslach Burnout Inventory – Human Services Survey (MBI-HSS) for emergency medical technicians in the Gauteng Province of South Africa and to determine its construct equivalence and bias for different race groups. A cross-sectional survey design with an accidental sample (N = 318) was used. The MBIHSS and a biographical questionnaire were administered. Evidence of uniform bias was found for one item of the MBIHSS. Exploratory factor analyses resulted in a 3-factor model of burnout, consisting of Emotional Exhaustion, Depersonalisation and Personal Accomplishment. The scales showed acceptable internal consistencies. Exploratory factor analysis with target rotations confirmed construct equivalence of scales for the White and Black groups. <p><strong>Opsomming</strong> <br>Die doelstellings van hierdie studie was om die Maslach Uitbrandingsvraelys – Menslike Dienste-Opname (MBI-HSS) te valideer vir die Nood Mediese Tegnici in die Gauteng Provinsie van Suid-Afrika en om die konstrukekwivalensie en sydigheid daarvan vir die verskillende rassegroepe te bepaal. ’n Dwarssnee opname-ontwerp met ’n beskikbaarheidsteekproef (N = 318) is gebruik. Die MBI-HSS en ’n biografiese vraelys is afgeneem. Uniforme sydigheid is gevind vir een item van die MBI-HSS. Verkennende faktorontleding met teikenrotasies het geresulteer in ’n 3-faktormodel van uitbranding bestaande uit Emosionele Uitputting, Depersonalisasie en Persoonlike Bereiking. Die skale het aanvaarbare interne konsekwentheid getoon. Verkennende faktorontleding met teikenrotasies het die konstrukekwivalensie vir die drie faktore bevestig vir die Wit en Swart groepe

The construct equivalence and item bias of the pib/SpEEx conceptualisation-ability test for members of five language groups in South Africa

“…The basic idea behind the application of this technique is to obtain the structure of each group, which can then be compared across all the groups involved (language groupings, in the case of this specific study). Factor analysis is the most frequently employed technique in the study of construct equivalence (Naudé & Rothmann, 2004). Exploratory factor analysis derives factors that provide the best statistical fit to the data (Murphy & Davidshofer, 2001).…”

Risk of burnout among emergency physicians at a tertiary care centre in Saudi Arabia

“…This is an observational, cross-sectional study based on a structured questionnaire "The MBI-HSS scale", which has been previously extensively tested and validated [4,10,11] . The English version of the questionnaire was used since it is the main language in our multi-cultural institution; and all participants are expected to be fluent in English.…”

Exploring the Equivalence of the Aviation Gender Attitude Questionnaire for South African and Australian Pilots: A Cross-Cultural Comparison

“…According to Van de Vijver andLeung (1997a, 1997b), differential item functioning or item bias and construct equivalence should be established for measuring instruments in any setting where individuals from different cultural groups are compared in terms of a specific construct. If cultural influences are not accounted for, invalid conclusions could be reached regarding the constructs under review (Naudè & Rothmann, 2004).…”

“…Nonuniform bias refers to the interaction effects of a scale's score levels and culture on the variation of item scores of different groups across all score levels (Naudè & Rothmann, 2004;Van de Vijver, 2002;Van de Vijver & Leung, 1997b). In terms of the human height metric scale example used earlier, nonuniform bias is present when the measurement for one group is different from that for the other group at each scale level: 1 cm on the scale for one group is actually 1.1 cm for the other group, 2 cm for one group is actually 2.3 cm for the other group, 3 cm for one group is actually 3.6 cm for the other group, and so on.…”