Open Access
ARTICLE
The Factor Analysis of University English Examination Results Based on the Multilevel Model
Shaoyun Long1,*, Qianying Long2
1 Foreign languages college, Jiangxi Normal University Jiangxi, China 330022
2 College of Tourism and Service Management, Nankai University Tianjin, China 300350
Address: no. 99, Ziyang avenue, Nanchang City, Jiangxi province
* Corresponding Author: Shaoyun Long,
Intelligent Automation & Soft Computing 2020, 26(3), 585-595. https://doi.org/10.32604/iasc.2020.013937
Abstract
The traditional factor analysis models, such as the generalized linear regression
model and the gistic regression model have disadvantages of large standard
error of analysis results. For this purpose, a multilevel factor analysis model
based on time series and independent variable data is designed. The OLS
estimation analysis method is used to establish the basic environment form, to
derive the model calculation parameters and to complete the environment
construction of the multilevel analysis model. On the basis of the construction
environment, the double-level environment reference module and the multilevel
factor analysis module are designed to realize the design of the multi water
leveling factor analysis model. Compared with the traditional factor analysis
model, the standard error of the analysis results are reduced by 15%.
Keywords
Cite This Article
S. Long and Q. Long, "The factor analysis of university english examination results based on the multilevel model,"
Intelligent Automation & Soft Computing, vol. 26, no.3, pp. 585–595, 2020. https://doi.org/10.32604/iasc.2020.013937