Initially I thought of using Simple Random Sampling. However, I will be conducting my survey via a crowdsourcing method. As a result I was informed I must choose convenience sampling as my sampling strategy. However, all I read about convenience sampling include the high probability of sampling bias because I may receive completed surveys from respondents that are not in my population of interest. By submitting the demographics for respondents and needing an equal response number from both populations my first thought was strata sampling strategy. The study is a Quantitative Comparative Study. Please chime in and share your recommendations. Thank you
If you are crowd sourcing your data, I don't see anyway to avoid doing convenience sampling.
Stratified sampling usually involves random sampling in pre-defined strata, so it does not including setting quotas for non-random samples. If you are worried about some groups being over-represented and you know what the population characteristics are, then you can post-weight your sample.
I see no reason that you couldn't use that approach. However, your new sampling process would have all the disadvantages of convenience sampling even though you would gain the advantages of stratified sampling.
As a pragmatist, I think it's important we don't become slaves of research methods. Our methodological choices must be informed by the research questions more than traditional definitions. You can tweak methods as long as you try to maintain robustness.
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