A new approach to Maslach Burnout Inventory: Measuring burnout syndrome in health‑care staff with fuzzy conjoint analysis
Özet
Background and Purpose: Burnout syndrome (BOS), the popular phenomenon of our pandemic era, is examined in three
dimensions: emotional exhaustion, depersonalization and cynicism, and personal inefficiency. One of the known and accepted
ways of measuring BOS is Maslach Burnout Inventory (MBI), in which these three dimensions are measured by 22 items,
using 5‑ or 7‑point Likert scales. The aim of this study is to eliminate the loss of precision in BOS measurement and handle
the subjectivity and uncertainty, as a result, to get rid of the bias caused by the classical way. Methods: To do this, fuzzy
conjoint analysis (FCA) is used together with MBI. In the classical way, the calculations are made by assigning crisp values
to the answers, which causes scientific bias and loss of precision because Likert scale type answers have subjectivity and
uncertainty. Results: When the scores obtained with FCA are examined, all the scores and some BOS levels differ. When
the position of the values according to the borders of the BOS levels is taken into account, it can be said that these tiny
differences caused by the loss of precision make this difference. Conclusion: Findings show that the resulting scores changed
significantly when calculations are made with FCA. Especially, when these scores are interpreted as intervals or grades, as in
MBI, even tiny differences may result in significant scientific bias.