I have conducted a survey and i need to conduct data analysis of the results from the survey, but i don't know which statistical method is suitable for my data.
An example of the survey is below:
1.Do you have a Primary Care Provider (PCP)? Yes / No
If NO, why not?
- a. I don’t need a PCP because I am healthy.
- b. My PCP left the practice or retired and I have not reestablished yet.
- c. I want a PCP, but I am unable/it take too long to find a PCP to establish care.
- d. I do not want a PCP because a PCP will address health issues I do not wish to discuss.
- e. Other: ___________________________________________
2.Age: _____________
3.Home zip code: ____________
4.Gender: Male/Female
5.Insurance: Yes / No
6.Highest level of education:
- a.High School diploma/GED c. Associate degree e. Post Bachelor’s degree
- b.Some postgraduate d. Bachelor’s degree f. No high school degree
Hi Katelyn,
Thank you for asking. I hope my response will give you some insights.
There are two main statistical methodologies that you can apply.
1. You can use descriptive statistics to summarize data from a sample. This methodology will help you determine measures such as the mean (average), Standard deviation, mode, median, etc. This can be extended into frequency distribution.
2. The second methodology is inferential statistics. This will help you draw conclusions from data that are randomly selected and have random variation. E,g . correlation, regression analysis, forecasting predictions.
It is my considered view that using both methods will enable you first describe the data in a meaningful way (mean, standard deviation, mode etc). And draw meaningful conclusion using inferential statistical analysis.
While you are using either or both of the methodologies, be mindful of common mistakes people should avoid in using statistics. E.g. you used interpret results while taking into consideration the context in which data is collected and variations therein.
Kind Regards,
Julius
Hi Katelyn,
Thank you for asking. I hope my response will give you some insights.
There are two main statistical methodologies that you can apply.
1. You can use descriptive statistics to summarize data from a sample. This methodology will help you determine measures such as the mean (average), Standard deviation, mode, median, etc. This can be extended into frequency distribution.
2. The second methodology is inferential statistics. This will help you draw conclusions from data that are randomly selected and have random variation. E,g . correlation, regression analysis, forecasting predictions.
It is my considered view that using both methods will enable you first describe the data in a meaningful way (mean, standard deviation, mode etc). And draw meaningful conclusion using inferential statistical analysis.
While you are using either or both of the methodologies, be mindful of common mistakes people should avoid in using statistics. E.g. you used interpret results while taking into consideration the context in which data is collected and variations therein.
Kind Regards,
Julius
Frankly, in viewing the survey, the only statistics that you can use is percentage, and basic descriptive statistics (mean, mode, standard deviation). The problem is that you have put the cart before the horse: you have collected the data before thinking about which statistical analysis will apply. In order to carry out relatively advanced stat analysis you have to have QUANTITATIVE data. Science, at least modern science, is quantification---in any field. The days of descriptive science (e.g., naturalists) are pretty much over.
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