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Dergiler / Black Sea Journal of Engineering and Science / 2026 / Cilt: 2 Sayı: 1

DETERMINING SAMPLE SIZE IN LOGISTIC REGRESSION WITH G-POWER

Determining Sample Size in Logistic Regression with G-Power

Aysel Yenipınar(KAHRAMANMARAŞ SÜTÇÜ İMAM ÜNİVERSİTESİ)
Şeyma Koç(KAHRAMANMARAŞ SÜTÇÜ İMAM ÜNİVERSİTESİ)
Demet Çanga(OSMANİYE KORKUT ATA ÜNİVERSİTESİ, OSMANİYE MESLEK YÜKSEKOKULU)
Fahrettin Kaya(KAHRAMANMARAS SUTCU IMAM UNIVERSITY, KAHRAMANMARAŞ VOCATIONAL SCHOOL)
Sayfa
16–22
Yayın Tarihi
2019-01-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The calculation of the sample size can now be done very easily via free programs.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:There are several methods used to determine the sample size.
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Temel Bulgular & Veri: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.
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Sonuç & Katkı:The calculation of the sample size can now be done very easily via free programs.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:SampelSize Determination · G-Power · Logistic regression

Abstract

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.

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Bu Makaleye Atıf Yap

Yenipınar, A., Koç, Ş., Çanga, D., Kaya, F. (2019). DETERMINING SAMPLE SIZE IN LOGISTIC REGRESSION WITH G-POWER. Black Sea Journal of Engineering and Science, Cilt: 2 Sayı: 1, 16–22. https://ajindex.com/articles/1467531

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Kaynakça (11)

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