Proceedings of 3rd International Symposium on Social Science (ISSS 2017)

Study on Internal Factors Influencing Chinese College Students' Willingness to Communicate in English Based on Logistic Regression Analysis Model

Authors
Yunda Yang, Weiping Wu
Corresponding Author
Yunda Yang
Available Online May 2017.
DOI
10.2991/isss-17.2017.154How to use a DOI?
Keywords
willingness to communicate, internal factors, logistic regression model, qualitative and quantitative.
Abstract

Willingness to communicate (WTC) is an essential concept in research fields of second language acquisition (SLA) and second language communication. In recent years, related researches in China have made great achievements. Based on relevant theories, the article enlarges research subjects of WTC to Chinese college students, and explore the relationship between WTC and internal factors. The research crunches the data by qualitative and quantitative methods. Moreover, the research uses SPSS 20.0, a kind of analysis tool, to establish logistic regression model and verify the correlation between WTC and internal factors which may affect Chinese college students' WTC

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of 3rd International Symposium on Social Science (ISSS 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2017
ISBN
10.2991/isss-17.2017.154
ISSN
2352-5398
DOI
10.2991/isss-17.2017.154How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yunda Yang
AU  - Weiping Wu
PY  - 2017/05
DA  - 2017/05
TI  - Study on Internal Factors Influencing Chinese College Students' Willingness to Communicate in English Based on Logistic Regression Analysis Model
BT  - Proceedings of 3rd International Symposium on Social Science (ISSS 2017)
PB  - Atlantis Press
SP  - 561
EP  - 569
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-17.2017.154
DO  - 10.2991/isss-17.2017.154
ID  - Yang2017/05
ER  -