This is because I am employing a purposive sampling technique as a tool to determine and select my research respondents,
Dear Yousif Gilo
Several aspirational samples may be appropriate for experimental research on tiny intersectional identity groups since they trade off design-based representativeness versus achieving a sample size big enough to convincingly estimate an experimental effect size.
Best Regards
Dr. Fatemeh Khozaei
Dear Dr. Fatemeh Khozaei,
Thank you you so much for trying to get me rid off of my confusion. I was using quantitative approach and descriptive statistic as a design to answer the questions of research. My bigger concern was whether I could pick purposive sampling technique to select the target population of my study. From my reading purposive sampling technique is possible in quantitative research but only if it's quasi experimental types of design and my question is can't it be applied in descriptive survey where the target population is more specified by the research title?
Regards,
Yousif G.
In quantatitive research, purposive sampling can only be used to a limited extend. This means you can use it to select a specific group that has the desired characterstics for your study (eg in a case study), but within that group you should use a probabilty sampling technique to select the study subjects. In other words you can not use purposive sampling alone in a quantitative study. My view.
The difficulty with using a combination of descriptive statistics and purposive sampling is known as "selection bias," because the characteristics of the sample that you select affect the results that you observe.
Joseph Kipkorir Cheruiyot suggests one possible alternative, where you purposively define the grounds that you are interested in, and then randomly select that sample within each of those groups.
Dear Yousif Gilo though it very much depends on the type and size of your target population, if you cannot determine a sampling frame in your target population you can sure use purposive sampling method without quasi-experimental design. Normally we use purposive sampling in social science research when the full list of target population to draw a sampling frame is not possible. It is basically a generalizability issue, which is a very subjective topic especially in social science research.
You can read the following references for more understanding on this matter. Tq.
Rowley, J. (2014). Designing and using research questionnaires. Management Research Review, 37(3), 308-330.
Hulland, J., Baumgartner, H., & Smith, K. M. (2018). Marketing survey research best practices: Evidence and recommendations from a review of jams articles. Journal of the Academy of Marketing Science, 46(1), 92-108.
Seddon, P. B., & Scheepers, R. (2012). Towards the improved treatment of generalization of knowledge claims in IS research: Drawing general conclusions from samples. European Journal of Information Systems, 21(1), 6-21.
Memon, M. A., Ting, H., Ramayah, T., Chuah, F., & Cheah, J.-H. (2017). A review of the methodological misconceptions and guidelines related to the application of structural equation modeling: A Malaysian scenario. Journal of Applied Structural Equation Modeling, 1(1), i-xiii.
The purposive sampling technique is a type of non-probability sampling that is most effective when one needs to study a certain cultural domain with knowledgeable experts within. Purposive sampling may also be used with both qualitative and quantitative re- search techniques.
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