Abstract

Abstract Structural equation modeling (SEM) is a statistical method used for testing and estimating causal relations using a combination of statistical data and qualitative causal assumptions. This paper reports two studies done by the researchers through the application of SEM. In the first study the relationship between EFL learners' affective constructs and their English achievement was assessed using SEM. Since both Structural coefficient and Goodness of fit are high, we conclude that not only is the model accepted but also the relationship between EFL learners' affective constructs and their English achievement is statistically significant. The second study investigated the relationship between Affective constructs and Study Process of EFL learners through the application of SEM. In this study the Goodness of Fit Index (GFI) turned out to be 0.99. Again like the previous study, since the Goodness of Fit Index (GFI) and structural coefficient are high, we conclude that there is a statistically strong relationship between affective constructs and study process of EFL learners.

Highlights

  • Structural Equation Modeling is a very powerful multivariate analysis method that includes particular versions of a number of other analysis techniques as special cases

  • The null hypothesis developed for the study is rejected, that is, there is a meaningful relationship between English Achievement and Affective Constructs of the EFL learners

  • The null hypothesis developed for the study is rejected as there is a meaningful relationship between Learning Process and Affective Constructs of EFL learners

Read more

Summary

A Report of Two Iranian Studies

HAMED GHAEMI Department of English Language and Literature, Faculty of Foreign Languages, University of Tehran, Kish International Campus, Kish, Iran. Mohammad Alavi, is an Associate Professor of Applied Linguistics at English Department, Faculty of Foreign Languages, University of Tehran. He is the Vice Dean of Educational Affairs at Faculty of Foreign Languages and Literatures as well. Hamed Ghaemi is a PhD candidate in TEFL at University of Tehran, International Campus, Iran He is a TEFL instructor at Islamic Azad University. His areas of research interests are Language Testing, Eassessment, ESP and Teacher Development.

Introduction
Background to SEM
Assessment of Fit
Findings
Discussion and Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.