Modeling turnover intentions, burnout, and job satisfaction of nurse anesthetists: The sensitivity of results to choice of statistical method

Christine Brown Mahoney; Paul L.  Schumann; Vera C.H. Meeusen; Hans T.A. Knape; K. Van Dam; Andre A.J. van Zundert

Modeling turnover intentions, burnout, and job satisfaction of nurse anesthetists: The sensitivity of results to choice of statistical method

Christine Brown Mahoney, Paul L. Schumann, Vera C.H. Meeusen, Hans T.A. Knape, K. Van Dam, Andre A.J. van Zundert

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

Abstract

Turnover by nurse anesthetists is expensive because they are highly skilled and difficult to replace. This study examines the turnover intentions of 882 Dutch nurse anesthetists. Turnover intention is modeled as a function of job satisfaction, burnout, personality, work context characteristics, and work climate. Previous research used the dataset to estimate the model using structural equation modeling (SEM). This study examines the sensitivity of results by using a two-level multilevel model with fixed or random intercepts. This study finds that the major substantive conclusions of the previous study are not sensitive to statistical methodology, which increases ones confidence in the conclusions.

Original language	English
Title of host publication	WDSI 2012 proceedings
Subtitle of host publication	Western Decision Sciences Institute, forty first annual meeting, April 4-6, 2012, Hilton Waikoloa Village, Big Island, Hawaii
Publisher	Western Decision Sciences Institute
Pages	633-642
Number of pages	10
Publication status	Published - 2012
Event	Forty first annual meeting of Western Decision Sciences Institute (WDSI) - Hilton Waikoloa Village, Big Island, United States Duration: 4 Apr 2012 → 6 Apr 2012 Conference number: 41

Conference

Conference	Forty first annual meeting of Western Decision Sciences Institute (WDSI)
Abbreviated title	WDSI 2012
Country/Territory	United States
City	Big Island
Period	4/04/12 → 6/04/12

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http://wdsinet.org/Annual_Meetings/2012_Proceedings/papers/Paper214.pdf

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Mahoney, C. B., Schumann, P. L., Meeusen, V. C. H., Knape, H. T. A., Van Dam, K., & van Zundert, A. A. J. (2012). Modeling turnover intentions, burnout, and job satisfaction of nurse anesthetists: The sensitivity of results to choice of statistical method. In WDSI 2012 proceedings: Western Decision Sciences Institute, forty first annual meeting, April 4-6, 2012, Hilton Waikoloa Village, Big Island, Hawaii (pp. 633-642). Western Decision Sciences Institute. http://wdsinet.org/Annual_Meetings/2012_Proceedings/papers/Paper214.pdf

Mahoney, Christine Brown ; Schumann, Paul L. ; Meeusen, Vera C.H. et al. / Modeling turnover intentions, burnout, and job satisfaction of nurse anesthetists : The sensitivity of results to choice of statistical method. WDSI 2012 proceedings: Western Decision Sciences Institute, forty first annual meeting, April 4-6, 2012, Hilton Waikoloa Village, Big Island, Hawaii. Western Decision Sciences Institute, 2012. pp. 633-642

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title = "Modeling turnover intentions, burnout, and job satisfaction of nurse anesthetists: The sensitivity of results to choice of statistical method",

abstract = "Turnover by nurse anesthetists is expensive because they are highly skilled and difficult to replace. This study examines the turnover intentions of 882 Dutch nurse anesthetists. Turnover intention is modeled as a function of job satisfaction, burnout, personality, work context characteristics, and work climate. Previous research used the dataset to estimate the model using structural equation modeling (SEM). This study examines the sensitivity of results by using a two-level multilevel model with fixed or random intercepts. This study finds that the major substantive conclusions of the previous study are not sensitive to statistical methodology, which increases ones confidence in the conclusions.",

author = "Mahoney, {Christine Brown} and Schumann, {Paul L.} and Meeusen, {Vera C.H.} and Knape, {Hans T.A.} and {Van Dam}, K. and {van Zundert}, {Andre A.J.}",

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year = "2012",

language = "English",

pages = "633--642",

booktitle = "WDSI 2012 proceedings",

publisher = "Western Decision Sciences Institute",

address = "United States",

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Mahoney, CB, Schumann, PL, Meeusen, VCH, Knape, HTA, Van Dam, K & van Zundert, AAJ 2012, Modeling turnover intentions, burnout, and job satisfaction of nurse anesthetists: The sensitivity of results to choice of statistical method. in WDSI 2012 proceedings: Western Decision Sciences Institute, forty first annual meeting, April 4-6, 2012, Hilton Waikoloa Village, Big Island, Hawaii. Western Decision Sciences Institute, pp. 633-642, Forty first annual meeting of Western Decision Sciences Institute (WDSI), Big Island, Hawaii, United States, 4/04/12. <http://wdsinet.org/Annual_Meetings/2012_Proceedings/papers/Paper214.pdf>

Modeling turnover intentions, burnout, and job satisfaction of nurse anesthetists: The sensitivity of results to choice of statistical method. / Mahoney, Christine Brown; Schumann, Paul L. ; Meeusen, Vera C.H. et al.
WDSI 2012 proceedings: Western Decision Sciences Institute, forty first annual meeting, April 4-6, 2012, Hilton Waikoloa Village, Big Island, Hawaii. Western Decision Sciences Institute, 2012. p. 633-642.

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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AU - Mahoney, Christine Brown

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AB - Turnover by nurse anesthetists is expensive because they are highly skilled and difficult to replace. This study examines the turnover intentions of 882 Dutch nurse anesthetists. Turnover intention is modeled as a function of job satisfaction, burnout, personality, work context characteristics, and work climate. Previous research used the dataset to estimate the model using structural equation modeling (SEM). This study examines the sensitivity of results by using a two-level multilevel model with fixed or random intercepts. This study finds that the major substantive conclusions of the previous study are not sensitive to statistical methodology, which increases ones confidence in the conclusions.

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Mahoney CB, Schumann PL, Meeusen VCH, Knape HTA, Van Dam K, van Zundert AAJ. Modeling turnover intentions, burnout, and job satisfaction of nurse anesthetists: The sensitivity of results to choice of statistical method. In WDSI 2012 proceedings: Western Decision Sciences Institute, forty first annual meeting, April 4-6, 2012, Hilton Waikoloa Village, Big Island, Hawaii. Western Decision Sciences Institute. 2012. p. 633-642

Modeling turnover intentions, burnout, and job satisfaction of nurse anesthetists: The sensitivity of results to choice of statistical method

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