SAMPLING METHODS AND APPROPRIATE SAMPLE SIZE DETERMINATION: A CONCISE OVERVIEW

Sample size determination has been a controversial issue for many applied researches, such that incorrect determination of how large a sample should be may lead to erroneous inferences in the study. For this reason, in this paper it has been aimed to highlight the general criteria and formulations for detecting the required minimum sample size especially in probability sampling methods -which can be summarized as simple random sampling, systematic sampling, stratified sampling and cluster sampling- and various research designs. Besides, the place of statistical power and effect size on sample size determination and the sample size computations for regression analysis based on the study by Cohen insert ignore into journalissuearticles values(1988); have also been mentioned.