@article{article_469688, title={Determining Sample Size in Logistic Regression with G-Power}, journal={Black Sea Journal of Engineering and Science}, volume={2}, pages={16–22}, year={2019}, author={Yenipınar, Aysel and Koç, Şeyma and Çanga, Demet and Kaya, Fahrettin}, keywords={SampelSize Determination, G-Power, Logistic regression}, abstract={<p class="MsoNormal" style="text-align:justify;"> <span lang="en-us" style="font-size:9pt;font-family:Cambria, serif;" xml:lang="en-us">There
are several methods used to determine the sample size. Investigator; because of
the insufficient precious resources such as time, labor, money, tools and
equipment, it works by pulling the sample with a suitable sampling method from
the population it is examining. According to the statistics obtained from the
sample, he will make comments about the population and make decisions. The
correctness of the decisions made is closely related to the size of the sample.
For this reason, the problem of determining sample size is one of the first and
important problems of an investigator. A small sample of information causes
loss of information and misjudgments. A very large sample is contrary to the
purpose of sampling and resources are wasted. The calculation of the sample
size can now be done very easily via free programs. </span> <br /> </p> <p> <i> </i> </p> <i> </i>}, number={1}, publisher={Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi}