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

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