Application of the Multiple Regression Analysis in the University Students’ Learning Disabilities

Lidong WANG, Chunfu Zhang, Jing BAI

Abstract


Whether the university students’ learning disabilities can be timely discovered and solved plays an important role in the rapid and steady development of the university education. In this paper, we use the method of multivariate statistical analysis, scientifically and systematically solving the following problems---whether there are prominent correlations and differences between the students’ learning anxiety, learning attitude, learning motivation and academic performance; whether the research mode pattern can get support; etc. Finally, we get the standardized regression equation and can realize the prediction of the students’ academic performance; besides, it is proved that the research mode pattern can get support. Conduct the digitization of the textual description in the scope of social sciences, The flexible use of the multivariate statistical analysis technique can provide effective methods for solving the university students’ learning disabilities and can effectively forecast the students’ academic performance.

Keywords


SPSS; multiple regression analysis; path analysis; learning disabilities; prediction


DOI
10.12783/dtem/icerem2019/30836

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