Application of Partial Least Square Regression Model in the Study of Personality Characteristics of the Scientific Personnel
10.3969/j.issn.1002-3674.2010.01.006
- VernacularTitle:偏最小二乘回归模型在科技人员人格特征研究中的应用
- Author:
Yuanyuan WANG
;
Jingwu CHEN
- Publication Type:Journal Article
- Keywords:
Partial least square regression model;
Scientific personnel;
Personality characteristics
- From:
Chinese Journal of Health Statistics
2010;(1):21-24
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the application of partial least square regression model in the study of personality characteristics of the scientific personne1,to supply more reliable and scientific rationale to the training and intelligent use of scientific personne1 in colleges.Methods We took our survey by 114 scientific personnel from eight universities with NEO-PI-R(Revised NEO Personality Inventory).After the process of simplifying the NEO-PI-R,we need partial least square regression model to analyze.Results The results of the PLS analysis indicates the goodness-of-fit of the model was good,which opened out clearly and intuitively the connection between the items and five personality characteristics,the model could be used as theory reference for personnel department,research department and education department to consummate the training of scientific personne1 in colleges.Conclusion Partial least square regression model could be used to study personality characteristics of the scientific personne1 in colleges as statistic method appearing recently.
