TY  - JOUR
T1  - Determining Sample Size in Logistic Regression with G-Power
TT  - DETERMINING SAMPLE SIZE IN LOGISTIC REGRESSION WITH G-POWER
AU  - Yenipınar, Aysel
AU  - Koç, Şeyma
AU  - Çanga, Demet
AU  - Kaya, Fahrettin
PY  - 2019
DA  - January
Y2  - 2018
JF  - Black Sea Journal of Engineering and Science
JO  - BSJ Eng. Sci.
PB  - Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi
WT  - DergiPark
SN  - 2619-8991
SP  - 16
EP  - 22
VL  - 2
IS  - 1
LA  - en
AB  - Thereare several methods used to determine the sample size. Investigator; because ofthe insufficient precious resources such as time, labor, money, tools andequipment, it works by pulling the sample with a suitable sampling method fromthe population it is examining. According to the statistics obtained from thesample, he will make comments about the population and make decisions. Thecorrectness 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 andimportant problems of an investigator. A small sample of information causesloss of information and misjudgments. A very large sample is contrary to thepurpose of sampling and resources are wasted. The calculation of the samplesize can now be done very easily via free programs.
KW  - SampelSize Determination
KW  - G-Power
KW  - Logistic regression
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UR  - https://dergipark.org.tr/tr/pub/bsengineering/issue//469688
L1  - https://dergipark.org.tr/tr/download/article-file/615531
ER  -