Validation of Adapted Scales Assessing Affective Filter Hypothesis Among Second Language Chinese Learners

Authors

  • Wenting Bao

    Faculty of Education, Universiti Malaya, Kuala Lumpur 50603, Malaysia

    School of Humanities and International Education Exchange, Anhui University of Chinese Medicine, Hefei 230012, China

  • Farrah Dina Yusop

    Faculty of Education, Universiti Malaya, Kuala Lumpur 50603, Malaysia

DOI:

https://doi.org/10.30564/fls.v7i7.9948
Received: 10 May 2025 | Revised: 12 June 2025 | Accepted: 17 June 2025 | Published Online: 10 July 2025

Abstract

Affective factors, including anxiety, motivation, and self-confidence, significantly influence second language acquisition (SLA), yet existing measurement tools often lack cultural and linguistic specificity for non-English contexts. This study adapted and validated three scales, which are Foreign Language Speaking Anxiety Scale, Attitude and Motivation Test Battery (AMTB) Scale, and Foreign Language Self-Esteem Scale, under Krashen’s Affective Filter Hypothesis for international students learning Chinese speaking in China. Through a multi-stage process, including scale modification, back-translation, expert opinions, and pilot testing, the revised instruments demonstrated strong psychometric properties. Expert content validity assessments yielded CVIs above 0.7, and reliability analyses run in IBM SPSS Statistics 26 produced Cronbach’s α values above 0.8. Key modifications included removing redundant statements and localizing linguistic references to align with Chinese speaking contexts. The results validate the applicability of the Affective Filter Hypothesis to Chinese SLA, highlighting the necessity of culturally adapted tools to assess affective barriers and facilitators. The findings confirm that the adapted questionnaires effectively capture the key affective factors based on the Affective Filter Hypothesis in Chinese speaking settings. Researchers can employ these scales to further investigate affective influences on SLA, and educators can use the findings to tailor Chinese speaking instruction, foster higher motivation, bolster self-confidence, and reduce anxiety in the classroom.

Keywords:

Affective Factor; Chinese Language Learning; Language Anxiety; Scale Validation; Second Language Acquisition]

References

[1] Łodej, M., Osmoła, A., 2024. Emotions in language learning: Understanding foreign language enjoyment and anxiety in higher education. Neofilolog. 62(1), 78–104. DOI: https://doi.org/10.14746/n.2024.62.1.6

[2] Henter, R., 2014. Affective factors involved in learning a foreign language. Procedia – Social and Behavioral Sciences. 127, 373–378. DOI: https://doi.org/10.1016/j.sbspro.2014.03.274

[3] Wang, L., Wu, X., 2020. Influence of affective factors on learning ability in second language acquisition. Revista Argentina de Clínica Psicológica. 29(2), 1232. DOI: https://doi.org/10.24205/03276716.2020.365

[4] Krashen, S., 1982. Principles and Practice in Second Language Acquisition. Pergamon Press: Oxford, UK. pp. 29.

[5] Ren, L., Kasuma, S.A.A., 2025. Latent profile analysis for the investigation of emotional factors in second language acquisition. Language Related Research. 16(1), 87–113. DOI: https://doi.org/10.29252/LRR.16.1.4

[6] Zheng, Y., 2021. Review of enlightenment of emotional factors in Krashen's affective filter hypothesis on English teaching research in college. Proceedings of the 2021 4th International Conference on Humanities Education and Social Sciences (ICHESS 2021); 17–19 September 2021; Xishuangbanna, China. Atlantis Press: Paris, France. pp. 1518–1524. DOI: https://doi.org/10.2991/assehr.k.211220.256

[7] Chen, Y., 2022. Analysing the impact of the affective filter hypothesis on teaching spoken Chinese as a foreign language. Education Review USA. 6(9), 516–518. DOI: https://doi.org/10.26855/er.2022.09.012

[8] Wang, T., 2024. Analysis of the affective factors of high school struggling students' English learning based on affective filter hypothesis. Journal of Education and Educational Research. 8(2), 178–180. DOI: https://doi.org/10.54097/vep4rp21

[9] Pan, Z., Wang, Y., Derakhshan, A., et al., 2023. Unpacking Chinese EFL students' academic engagement and psychological well-being: The roles of language teachers' affective scaffolding. Journal of Psycholinguistic Research. 52(5), 1799–1819. DOI: https://doi.org/10.1007/s10936-023-09974-z

[10] Horwitz, E.K., Horwitz, M.B., Cope, J., 1986. Foreign language classroom anxiety. Modern Language Journal. 70(2), 125–132.

[11] Öztürk, G., Gürbüz, N., 2014. Speaking anxiety among Turkish EFL learners: The case at a state university. Journal of Language and Linguistic Studies. 10(1), 1–17.

[12] Gardner, R.C., 2004. Attitude/Motivation Test Battery: International AMTB Research Project. University of Western Ontario: London, ON, Canada.

[13] Hassan, B.A., 1992. Foreign language self-esteem and the oral communicative ability of university students. Mansoura Faculty of Education Journal. 19(3), 1–19.

[14] Klotz, A.C., Swider, B.W., Kwon, S.H., et al., 2023. Back-translation practices in organizational research: Avoiding loss in translation. Journal of Applied Psychology. 108(5), 699–727. DOI: https://doi.org/10.1037/apl0001050

[15] Bundgaard, K., Brøgger, M.N., 2018. Who is the back translator? An integrative literature review of back translator descriptions in cross-cultural adaptation of research instruments. Perspectives. 27(6), 833–845. DOI: https://doi.org/10.1080/0907676X.2018.1544649

[16] Alqahtani, T.M., Yusop, F.D., Halili, S.H., et al., 2023. Content validity of the Constructivist Learning in Higher Education Settings (CLHES) scale in the context of the flipped classroom in higher education. Humanities and Social Sciences Communications. 10(1), 1–12. DOI: https://doi.org/10.1057/s41599-023-01754-3

[17] Gilbert, G.E., Prion, S., 2016. Making sense of methods and measurement: Lawshe's content validity index. Clinical Simulation in Nursing. 12(12), 530–531. DOI: https://doi.org/10.1016/j.ecns.2016.08.002

[18] Beck, C.T., Gable, R.K., 2001. Ensuring content validity: An illustration of the process. Journal of Nursing Measurement. 9(2), 201–215.

[19] Lawshe, C.H., 1975. A quantitative approach to content validity. Personnel Psychology. 28(4), 563–575.

[20] Polit, D.F., Beck, C.T., 2006. The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health. 29(5), 489–497. DOI: https://doi.org/10.1002/nur.20147

[21] Lu, E.S., Katz, R., Miller, J.B., et al., 2022. Peripapillary choroidal vascularity and visual correlates in non-arteritic anterior ischemic optic neuropathy using swept-source optical coherence tomography. Frontiers in Ophthalmology. 2, 848040. DOI: https://doi.org/10.3389/fopht.2022.848040

[22] Yan, Y., Xin, T., Wang, D., et al., 2014. Application of the Geriatric Anxiety Inventory-Chinese Version (GAI-CV) to older people in Beijing communities. International psychogeriatrics. 26(3), 517–523. DOI: https://doi.org/10.1017/S1041610213002007

[23] Kennedy, I., 2022. Sample size determination in test-retest and Cronbach alpha reliability estimates. British Journal of Contemporary Education. 2(1), 17–29. DOI: https://doi.org/10.52589/BJCE-FY266HK9

[24] Rocereto, J.F., Puzakova, M., Anderson, R.E., et al., 2011. The role of response formats on extreme response style: A case of Likert-type vs semantic differential scales. In: Sarstedt, M., Schwaiger, M., Taylor, C.R. (eds.). Measurement and Research Methods in International Marketing (Advances in International Marketing, Vol. 22). Emerald Group Publishing Limited: Leeds, England, UK. pp. 53–71. DOI: https://doi.org/10.1108/S1474-7979(2011)0000022006

[25] Van Vaerenbergh, Y., Thomas, T.D., 2013. Response styles in survey research: A literature review of antecedents, consequences, and remedies. International Journal of Public Opinion Research. 25(2), 195–217. DOI: https://doi.org/10.1093/ijpor/eds021

[26] Kalkbrenner, M.T., 2023. Alpha, omega, and H internal consistency reliability estimates: Reviewing these options and when to use them. Counseling Outcome Research and Evaluation. 14(1), 77–88. DOI: https://doi.org/10.1080/21501378.2021.1940118

[27] Chu, W.H., Lin, D.Y., Chen, T.Y., et al., 2015. The relationships between ambiguity tolerance, learning strategies, and learning Chinese as a second language. System. 49, 1–16. DOI: https://doi.org/10.1016/j.system.2014.10.015

[28] Taguchi, N., Xiao, F., Li, S., 2016. Assessment of study abroad outcomes in Chinese as a second language: Gains in cross-cultural adaptability, language contact and proficiency. Intercultural Education. 27(6), 600–614. DOI: https://doi.org/10.1080/14675986.2016.1217126

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How to Cite

Bao, W., & Yusop, F. D. (2025). Validation of Adapted Scales Assessing Affective Filter Hypothesis Among Second Language Chinese Learners. Forum for Linguistic Studies, 7(7), 158–173. https://doi.org/10.30564/fls.v7i7.9948