Hello everyone,
I'm currenlty writing my bachelor's thesis about the impacts of COVID-19 on the hotel sector in Germany, with the goal of developing a training manual for hotel management and entrepreneurs on how to cope with future pandemics.
One of my sub RQs is: What is the correlation between hotels responses to the pandemic and their occupancy rates?
How can I answer that questions if the hotels responses are based on qualitative data (interviews about entrepreneurial behaviour, e.g. one hotel said that in order to cope with the pandemic they increased their social media presence and improved their online appearance) and the occupancy rates are quantitative data?
Basically, my goal is to support my recommendations - which will be a training manual for hotel management and entrepreneurs on how to cope with future pandemics - by saying Hotel A did this and their occupancy rate increased (I'm obviously aware that correlation doesn't mean causation and this will also be one of the major limitations of my research, only using one hotel KPI).
Best,
Felix
Data isn't to support your preconceived notions but rather to test.them against what exists in the world. Perhaps correlation was not meant for everything in your research because you seem to have found something that doesn't fit your current notion.. perhaps your notion and your methods should be adjusted as needed.. Best wishes, David Booth
Dear Felix
From a statistical point of view, correlation is a numerical measure. Then we need to represent the quantitative information in a numerical way. The direct approach is to transform your qualitative data to a numerical scale or even a weighted numerical scale to capture the impact of different factors. Yes, the weighting imay be very subjective but with different trials you will find the optimal way. Hopefully this is may help.
Regards,
Gamal
For correlation analysis you required quantitative data. For calculating the correlation for qualitative data you have to first convert it into quantitative data.
Here it is a related with your topic article: https://www.karger.com/Article/Abstract/341859
In terms of performing correlation, you have to transform the qualitative data into quantitative format. But from my opinion, I would like to say that your qualitative data set should have well criteria which may give you a standard quantitative outline.
A think, you can use Kendall Tau.
Explication and example (easy) :
https://www.statology.org/kendalls-tau/
Moe info,
https://en.wikipedia.org/wiki/Kendall_rank_correlation_coefficient#Significance_tests
in R you can use VGAM packages
https://www.rdocumentation.org/packages/VGAM/versions/1.1-5/topics/kendall.tau
Suggestion: Code your qualitative data into a small number of categories that reflect the main ways hotels cope. Assuming there are several hotels that fall in each category, you could do a one-way analysis of variance to see if the mean occupancy rates differ among the category groups.
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