Mara Bria , Florina Spânu , Adriana Băban , Dan L. Dumitraşcu
{"title":"Maslach倦怠量表-一般调查:罗马尼亚医疗保健专业人员的析因效度和不变性","authors":"Mara Bria , Florina Spânu , Adriana Băban , Dan L. Dumitraşcu","doi":"10.1016/j.burn.2014.09.001","DOIUrl":null,"url":null,"abstract":"<div><p>This study tested the dimensionality of the Maslach Burnout Inventory – General Survey (MBI-GS) on a sample of 1190 Romanian healthcare professionals from three county hospitals. Data provided evidence to support the hypothesised three-factor model after removing one item from the cynicism scale: <em>χ</em><sup>2</sup>(86)<!--> <!-->=<!--> <!-->432.29, CFI<!--> <!-->=<!--> <!-->.94, GFI<!--> <!-->=<!--> <!-->.95, NFI<!--> <!-->=<!--> <!-->.93, and RMSEA<!--> <!-->=<!--> <!-->.05. Results of multigroup analysis confirmed the invariance of the 15 items model across professional role, gender, age, and organisational tenure. Structural equation modeling results proved specific relations between occupational factors and burnout dimensions. Our results have practical implications for future research on burnout using the MBI-GS among samples of healthcare professionals.</p></div>","PeriodicalId":90459,"journal":{"name":"Burnout research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.burn.2014.09.001","citationCount":"80","resultStr":"{\"title\":\"Maslach Burnout Inventory – General Survey: Factorial validity and invariance among Romanian healthcare professionals\",\"authors\":\"Mara Bria , Florina Spânu , Adriana Băban , Dan L. Dumitraşcu\",\"doi\":\"10.1016/j.burn.2014.09.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study tested the dimensionality of the Maslach Burnout Inventory – General Survey (MBI-GS) on a sample of 1190 Romanian healthcare professionals from three county hospitals. Data provided evidence to support the hypothesised three-factor model after removing one item from the cynicism scale: <em>χ</em><sup>2</sup>(86)<!--> <!-->=<!--> <!-->432.29, CFI<!--> <!-->=<!--> <!-->.94, GFI<!--> <!-->=<!--> <!-->.95, NFI<!--> <!-->=<!--> <!-->.93, and RMSEA<!--> <!-->=<!--> <!-->.05. Results of multigroup analysis confirmed the invariance of the 15 items model across professional role, gender, age, and organisational tenure. Structural equation modeling results proved specific relations between occupational factors and burnout dimensions. Our results have practical implications for future research on burnout using the MBI-GS among samples of healthcare professionals.</p></div>\",\"PeriodicalId\":90459,\"journal\":{\"name\":\"Burnout research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.burn.2014.09.001\",\"citationCount\":\"80\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Burnout research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213058614000436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Burnout research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213058614000436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maslach Burnout Inventory – General Survey: Factorial validity and invariance among Romanian healthcare professionals
This study tested the dimensionality of the Maslach Burnout Inventory – General Survey (MBI-GS) on a sample of 1190 Romanian healthcare professionals from three county hospitals. Data provided evidence to support the hypothesised three-factor model after removing one item from the cynicism scale: χ2(86) = 432.29, CFI = .94, GFI = .95, NFI = .93, and RMSEA = .05. Results of multigroup analysis confirmed the invariance of the 15 items model across professional role, gender, age, and organisational tenure. Structural equation modeling results proved specific relations between occupational factors and burnout dimensions. Our results have practical implications for future research on burnout using the MBI-GS among samples of healthcare professionals.
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