Using Partial Least Square Approach to Study the Factors affecting the Quality of Life in Data Mining

Main Article Content

Liping Lin,Weixia Liu,Dachuan Zheng, Genping Yu, Libin Song, Zhongyan Lin

Abstract

The objective of this research was to build a model to study the influencing factors of quality of lifes. Data were collected using the World Health Organization Questionnaire on Quality of Life (WHOQOL-BREF) from the Internet sent to six provinces and two cities. The data were analyzed using Partial Least Squares (PLS) approach. The test of the measurement model in terms of the validity and reliability of the measures was followed by testing of the hypothesized relationship. Results indicate that the hypothesized relationship was as follows: physiological factor, psychological factor, environmental factor, and social relationship factor have a significant positive impact on the of the Internet active people’s quality of life, and psychological factor has the greatest influence on the quality of life of the internet active population.

Article Details

How to Cite
Liping Lin,Weixia Liu,Dachuan Zheng, Genping Yu, Libin Song, Zhongyan Lin. (2021). Using Partial Least Square Approach to Study the Factors affecting the Quality of Life in Data Mining. CONVERTER, 2021(7), 866-872. Retrieved from http://converter-magazine.info/index.php/converter/article/view/564
Section
Articles