@Article{iasc.2020.013937,
AUTHOR = {Shaoyun Long, Qianying Long},
TITLE = {The Factor Analysis of University English Examination Results Based on the Multilevel Model},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {3},
PAGES = {585--595},
URL = {http://www.techscience.com/iasc/v26n3/40018},
ISSN = {2326-005X},
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%.},
DOI = {10.32604/iasc.2020.013937}
}