Determination of Sample Size on Logistic Regression for Sakernas Data in Jayapura Regency in 2015

DOI

10.2991/icm2e-18.2018.5How to use a DOI?

Keywords

Logistic Regression, Sampling

Abstract

Logistic regression can be used to analyze the relationship between the factors that affect the working hours whether it more, less or normal hours. The limitation of this research is to know the population with normal working hours in Jayapura Regency in 2015. To examine the number of normal working hours and underemployment, a sampling design and sample size are needed. The variable that will be used in determining the sample size is only 1 variable, age. Furthermore, based on the information obtained from the logistic regression analysis that has been done, it will be determined the minimum sample size that going to be taken using the method proposed by Whittemore (1981), obtained N = 184 and the method proposed by Hsieh et al. (1998), obtained N = 442.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Fadhilah Fitri
AU  - Bertho Tantular
PY  - 2018/12
DA  - 2018/12
TI  - Determination of Sample Size on Logistic Regression for Sakernas Data in Jayapura Regency in 2015
BT  - Proceedings of the 2nd International Conference on Mathematics and Mathematics Education 2018 (ICM2E 2018)
PB  - Atlantis Press
SP  - 17
EP  - 19
SN  - 2352-5398
UR  - https://doi.org/10.2991/icm2e-18.2018.5
DO  - 10.2991/icm2e-18.2018.5
ID  - Fitri2018/12
ER  -