@Natela Doghonadze

To analyze the representativeness of your survey data despite it being conducted through a non-random selection method (via a link on social media), you've utilized a combination of stratified and cluster sampling approaches. Here are some points to consider based on the provided data:

Demographic Representation:

• The demographic data you've collected includes information on gender, age distribution, living areas (urban, suburban, rural), and geographical distribution.
• This breakdown helps in understanding the diversity within your sample, which is crucial for representativeness. ( I would recommend further drip down the questions to collect more in-depth data like College, Main Stream, Professional Experience and etc.,)

Stratification:

• Stratification involves dividing the population into subgroups (or strata) that share similar characteristics. From your data, you've stratified based on various factors such as age groups, living areas, and geographical distribution.
• This approach allows you to ensure that each subgroup is adequately represented in your sample.

Despite the limitations, your sample can still provide valuable insights, especially if you've made efforts to ensure diversity within the sample across different demographic factors.

You may want to determine significant association of the variables obtained using Chi square Test of Independence.

Goodluck!

I see in the table you have the demographics, but how is prestige and popularity measured?

Through a survey, but I have no problems with the survey, I just wanted a recommendation how to best present demographic data. Thanks, anyway.