Research Article

Determining Sample Size in Logistic Regression with G-Power

Volume: 2 Number: 1 January 1, 2019
EN TR

Determining Sample Size in Logistic Regression with G-Power

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.

Keywords

References

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  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.
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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

January 1, 2019

Submission Date

October 11, 2018

Acceptance Date

November 23, 2018

Published in Issue

Year 2019 Volume: 2 Number: 1

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, and 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 (January 1, 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, and F. Kaya, “Determining Sample Size in Logistic Regression with G-Power”, BSJ Eng. Sci., vol. 2, no. 1, pp. 16–22, Jan. 2019, [Online]. Available: 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 (January 1, 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, et al. “Determining Sample Size in Logistic Regression With G-Power”. Black Sea Journal of Engineering and Science, vol. 2, no. 1, Jan. 2019, pp. 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]. 2019 Jan. 1;2(1):16-22. Available from: https://izlik.org/JA59ZH83NM

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