Work

The Application of Binary Logistic Regression Analysis on Staff Performance Appraisal

Year: 2017

Type: article

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.

Source: Science Journal of Applied Mathematics and Statistics

DOI: 10.11648/j.sjams.20170504.15

Author: Runyi Emmanuel Francis

Institution: Arthur Jarvis University

Language: English

Topic: Employee Performance and Management

Subfield: Human Factors and Ergonomics

Field: Social Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W2741402148

FWCI: 3.822

Cites: 16

Cited by: 5

Related to: 10