Araştırma Makalesi

Determining Sample Size in Logistic Regression with G-Power

Cilt: 2 Sayı: 1 1 Ocak 2019
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Determining Sample Size in Logistic Regression with G-Power

Öz

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.

Anahtar Kelimeler

Kaynakça

  1. Buse A. 1982. The likelihood ratio, wald and lagran ge multiplier tests: an expository note. the american statistician, 36(3): 1.
  2. Demidenko E. 2007. Sample size determination for logistic regression revisited, Statist Med, 26: 3385-3397.
  3. Erdfelder E, Faul F, Buchner A. 1996. Gpower: A general power analysis. Behavior Research Methods, Instruments, & Computer, 28: 1-11.
  4. Faul F, Erdfelder E, Buchner A, Lang AG. 2009. Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior Resarch Methods, 41: 1149-1160.
  5. Herrera AN, Gomez J. 2008. Influence of equal or unequal comparison group sample sizes on the detection of differential item functioning using the Mantel–Haenszel and logistic regression techniques. Quality & Quantity, 42: 739–755.
  6. Hsieh FY, Bloch DA, Larsen MD. 1998. A simple method of sample size calculation for linear and logistic regression. Statis Med, 17: 1623-1634.
  7. Lyles RH, Lin HM, Williamson JM. 2007. A practial approach to computing power for generalized linear models with nominal, count, or ordinal responses. Statis Med, 26: 1632-1648.
  8. Nemes S, Jonasson JM, Genel A, Steineck G. 2009. Bias in odds ratios by logistic regression modelling and sample size, BMC Medical Research Methodology, 9(56): 1-5.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Şeyma Koç
Türkiye

Yayımlanma Tarihi

1 Ocak 2019

Gönderilme Tarihi

11 Ekim 2018

Kabul Tarihi

23 Kasım 2018

Yayımlandığı Sayı

Yıl 2019 Cilt: 2 Sayı: 1

Kaynak Göster

APA
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, 2(1), 16-22. https://izlik.org/JA59ZH83NM
AMA
1.Yenipınar A, Koç Ş, Çanga D, Kaya F. Determining Sample Size in Logistic Regression with G-Power. BSJ Eng. Sci. 2019;2(1):16-22. https://izlik.org/JA59ZH83NM
Chicago
Yenipınar, Aysel, Şeyma Koç, Demet Çanga, ve Fahrettin Kaya. 2019. “Determining Sample Size in Logistic Regression with G-Power”. Black Sea Journal of Engineering and Science 2 (1): 16-22. https://izlik.org/JA59ZH83NM.
EndNote
Yenipınar A, Koç Ş, Çanga D, Kaya F (01 Ocak 2019) Determining Sample Size in Logistic Regression with G-Power. Black Sea Journal of Engineering and Science 2 1 16–22.
IEEE
[1]A. Yenipınar, Ş. Koç, D. Çanga, ve F. Kaya, “Determining Sample Size in Logistic Regression with G-Power”, BSJ Eng. Sci., c. 2, sy 1, ss. 16–22, Oca. 2019, [çevrimiçi]. Erişim adresi: https://izlik.org/JA59ZH83NM
ISNAD
Yenipınar, Aysel - Koç, Şeyma - Çanga, Demet - Kaya, Fahrettin. “Determining Sample Size in Logistic Regression with G-Power”. Black Sea Journal of Engineering and Science 2/1 (01 Ocak 2019): 16-22. https://izlik.org/JA59ZH83NM.
JAMA
1.Yenipınar A, Koç Ş, Çanga D, Kaya F. Determining Sample Size in Logistic Regression with G-Power. BSJ Eng. Sci. 2019;2:16–22.
MLA
Yenipınar, Aysel, vd. “Determining Sample Size in Logistic Regression with G-Power”. Black Sea Journal of Engineering and Science, c. 2, sy 1, Ocak 2019, ss. 16-22, https://izlik.org/JA59ZH83NM.
Vancouver
1.Aysel Yenipınar, Şeyma Koç, Demet Çanga, Fahrettin Kaya. Determining Sample Size in Logistic Regression with G-Power. BSJ Eng. Sci. [Internet]. 01 Ocak 2019;2(1):16-22. Erişim adresi: https://izlik.org/JA59ZH83NM

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