This study investigates and models salient factors that influences the performance of staff in an appraisal exercise and as well estimate the odds of these factors influencing the outcome variable (performance rating) as compared to their reference group or category. The Binary Logistic regression model was used to estimate chance of the staff given the influence of the identified independent variables. In the study, marital status was found to be significant in distinguishing staff performance as identified from the outlined factors influencing their performance.
| Published in | Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 4) |
| DOI | 10.11648/j.sjams.20170504.15 |
| Page(s) | 164-168 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Performance Appraisal, Binary Logistic, Odds
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APA Style
Runyi Emmanuel Francis. (2017). The Application of Binary Logistic Regression Analysis on Staff Performance Appraisal. Science Journal of Applied Mathematics and Statistics, 5(4), 164-168. https://doi.org/10.11648/j.sjams.20170504.15
ACS Style
Runyi Emmanuel Francis. The Application of Binary Logistic Regression Analysis on Staff Performance Appraisal. Sci. J. Appl. Math. Stat. 2017, 5(4), 164-168. doi: 10.11648/j.sjams.20170504.15
AMA Style
Runyi Emmanuel Francis. The Application of Binary Logistic Regression Analysis on Staff Performance Appraisal. Sci J Appl Math Stat. 2017;5(4):164-168. doi: 10.11648/j.sjams.20170504.15
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Download@article{10.11648/j.sjams.20170504.15,
author = {Runyi Emmanuel Francis},
title = {The Application of Binary Logistic Regression Analysis on Staff Performance Appraisal},
journal = {Science Journal of Applied Mathematics and Statistics},
volume = {5},
number = {4},
pages = {164-168},
doi = {10.11648/j.sjams.20170504.15},
url = {https://doi.org/10.11648/j.sjams.20170504.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170504.15},
abstract = {This study investigates and models salient factors that influences the performance of staff in an appraisal exercise and as well estimate the odds of these factors influencing the outcome variable (performance rating) as compared to their reference group or category. The Binary Logistic regression model was used to estimate chance of the staff given the influence of the identified independent variables. In the study, marital status was found to be significant in distinguishing staff performance as identified from the outlined factors influencing their performance.},
year = {2017}
}
TY - JOUR T1 - The Application of Binary Logistic Regression Analysis on Staff Performance Appraisal AU - Runyi Emmanuel Francis Y1 - 2017/07/26 PY - 2017 N1 - https://doi.org/10.11648/j.sjams.20170504.15 DO - 10.11648/j.sjams.20170504.15 T2 - Science Journal of Applied Mathematics and Statistics JF - Science Journal of Applied Mathematics and Statistics JO - Science Journal of Applied Mathematics and Statistics SP - 164 EP - 168 PB - Science Publishing Group SN - 2376-9513 UR - https://doi.org/10.11648/j.sjams.20170504.15 AB - This study investigates and models salient factors that influences the performance of staff in an appraisal exercise and as well estimate the odds of these factors influencing the outcome variable (performance rating) as compared to their reference group or category. The Binary Logistic regression model was used to estimate chance of the staff given the influence of the identified independent variables. In the study, marital status was found to be significant in distinguishing staff performance as identified from the outlined factors influencing their performance. VL - 5 IS - 4 ER -
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