Proceedings of The 6th International Conference on Future of Teaching and Education
The Use of Sampling and Weighting in Quantitative Social Research
Guguli Magradze, Ivane Ketchakmadze, Nino Durglishvili, Tamar Doreuli
Generalization of results, gained on the basis of sampling population research, with regard to general population, represents one of the most significant issues of quantitative social research, while the models of relevantly formed sampling and weighting represent necessary precondition for overcoming of such a complicated and demanding challenge.
The review of the certain models of sampling and weighting is provided in the article, on the basis of which quantitative sociological survey was conducted in 2020 in the capital of Georgia – Tbilisi, by means of face-to-face interview. Although, it should be emphasized that such type of models, as well as individual techniques and approaches integrated within them, can be successfully used in other similar researches.
All full-aged citizens (18+) of Tbilisi have been specified as a target group; Database of population census has been used as a sampling frame, which encompasses all current households in Tbilisi. The location, address and census-taking districts were provided in the database.
The two-phase, stratified-cluster model represented the type of sampling. Strata were presented by districts of Tbilisi, while cluster sampling – by census-taking districts. The weighting model is constructed according to the sampling stages.
Keywords: PPS, Survey, Model, Research, quantitative sociological survey, stratified cluster model.