Proceedings of the Pacific-Rim Objective Measurement Symposium (PROMS 2023)

Using Rasch Model to Assess the Foreign Language Speaking Anxiety Scale (FLSAS) Among University Students in Salatiga, Indonesia

Authors
Rizki Parahita Anandi1, *, Bambang Sumintono2, Muhammad Azhar Zailaini3, Resa Syafitri4
1Universitas Islam Negeri Salatiga, Salatiga, Indonesia
2Universitas Islam International Indonesia, Depok, Indonesia
3Universiti Malaya, Kuala Lumpur, Malaysia
4Universiti Malaya, Kuala Lumpur, Malaysia
*Corresponding author. Email: rizkiparahita91@uinsalatiga.ac.id
Corresponding Author
Rizki Parahita Anandi
Available Online 22 August 2024.
DOI
10.2991/978-94-6463-494-5_6How to use a DOI?
Keywords
Arabic language; Foreign Language Speaking Anxiety Scale (FLSAS); speaking anxiety; Rasch Model
Abstract

This research was aimed to investigate the use of the instrument Foreign Language Speaking Anxiety Scale (FLSAS) with Rasch measurement model approach. About 46 Arabic Language Education students have participated in the study. Rasch model provided some analysis to examine the quality aspect of an instrument reliability and validity. The findings revealed that both value of person (0.90) and item (0.92) reliability are considered very high. There were 2 misfit items in the questionnaire based on the criteria of acceptable value in Outfit MNSQ, Outfit ZSTD and Point Measure Correlation, therefore, they were eliminated. The value of raw variance of the questionnaire was 49% and the unexplained variance index of it did not exceed 15%. This result indicated that the questionnaire was valid in terms of its internal validity and it can be used to measure students’ anxiety in speaking Arabic language. Regard to rating scale analysis, it is revealed that one of the five-point rating scale need to be collapsed. The Wright map showed one item which was placed on the top of the map that represented the situation where students did not feel anxious when speaking Arabic language. On the other hand, the map also showed an item at the bottom of the map which means that most of students get anxious when speaking Arabic language in that situation. Overall, FLSAS instrument is appropriate to be used by the foreign language teachers to measure students’ speaking anxiety.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the Pacific-Rim Objective Measurement Symposium (PROMS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
22 August 2024
ISBN
978-94-6463-494-5
ISSN
2667-128X
DOI
10.2991/978-94-6463-494-5_6How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Rizki Parahita Anandi
AU  - Bambang Sumintono
AU  - Muhammad Azhar Zailaini
AU  - Resa Syafitri
PY  - 2024
DA  - 2024/08/22
TI  - Using Rasch Model to Assess the Foreign Language Speaking Anxiety Scale (FLSAS) Among University Students in Salatiga, Indonesia
BT  - Proceedings of the Pacific-Rim Objective Measurement Symposium (PROMS 2023)
PB  - Atlantis Press
SP  - 97
EP  - 109
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-494-5_6
DO  - 10.2991/978-94-6463-494-5_6
ID  - Anandi2024
ER  -