Chapter 6: Updated Data Analysis

Sreevarenya J -

Good Morning Everyone,

This weeks blog post will be an update on my data analysis for my research project.

So for a quick recap, I am using the burnout assessment tool, which is a survey, to collect data. This survey has 33 statements and participants will respond to the statement using a five point 

For the data analysis, burnout will be quantified by using the scales given along with the test in the burnout assessment tool packet. Each respondent will have filled out an answer of never, rarely, sometimes, often, and always for each of the 33 statements. These answers will correspond to numbers 1, 2, 3, 4, 5 respectively. To analyse the total score for an individual, the numbers from the all BAT items will be added and divided by 23 to form an average.

If, however, an individual chooses not to answer a question, then the total score will be determined by finding the average of all items that were answered.This same procedure is applied for the remaining secondary symptoms. This will give us two values (between 1 and 5): one for risk of burnout based on core symptoms and one for risk of burnout based on secondary symptoms.

Scoring the values for the four subsections, which are exhaustion, mental distance, emotional impairment, and cognitive impairment, will be in a similar manner to the scoring of the core and secondary symptoms. Each subsection will be added and then divided by the total number of questions answered for that subsection. In total, each individual will have six values (which will be a number between 1 and 5) : total core symptoms score, total secondary symptoms score, score for exhaustion, score for mental distance, score for cognitive impairment, and score for emotional impairment. 

To find the percentage of employees that run a risk of burnout in an institution, the burnout assessment tool provided a table with cut off values for each individual symptom that the BAT is testing. Each of the six values for every individual will be attributed to low, average, high, and very high. Low mean no risk of burnout, average means there is a possibility of burnout, high means they are experiencing severe burnout symptoms, and very high means they are suffering from burnout.

Once all individual scores are categorised into these four sections, the researcher will calculate the percentage of people who are low, average, high, and very high. For example, after complete analysis, there statement would be that: it would indicate that 80% of employees at this particular institution are average for mental distance. It is a lot of information but I hope that it made sense!

Thank you for reading!

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All viewpoints are welcome but profane, threatening, disrespectful, or harassing comments will not be tolerated and are subject to moderation up to, and including, full deletion.

    Hey Sree! The BAT seems like a very commonly used tool for burnout assessment. What are the potential limitations of using the BAT and the described scoring methodology?
    HI Sree, how has it been distributing the survey? Do you have some variance in employee type?

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