Study on the Measurement Model of Person-Job Fit Degree Based on Polynomial Regression

DOI

10.2991/assehr.k.200207.043How to use a DOI?

Keywords

person-job fit, measurement model, polynomial regression

Abstract

Traditional person-job fit degree measurement models such as PSIs (profile similarity indices) or weighted difference scores cannot highlight the role of different competency. In this paper, the polynomial regression method is introduced to construct the quadratic polynomial regression measurement model of person-job fit degree, which improves the method of difference scores and solves the problem of the original models. Finally, this paper introduces the general application process of the quadratic polynomial regression measurement model of person-job fit degree.

Copyright

© 2020, 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  - Lei Luo
AU  - Yuanyuan Liu
PY  - 2020
DA  - 2020/02/17
TI  - Study on the Measurement Model of Person-Job Fit Degree Based on Polynomial Regression
BT  - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
PB  - Atlantis Press
SP  - 281
EP  - 285
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200207.043
DO  - 10.2991/assehr.k.200207.043
ID  - Luo2020
ER  -