Development of an Online Operation Span Task for Thai Speakers

Authors

  • Teeranoot Siriwittayakorn Department of English, Faculty of humanities, Chiang Mai University, Chiang Mai, 50200, Thailand
  • Thanasak Sirikanerat Department of Linguistics, Faculty of Humanities, Kasetsart University, Bangkok, 10330, Thailand

Keywords:

Operation Span, working memory, applied linguistics, psycholinguistics, experimental linguistics

Abstract

The Operation Span Task (Ospan) is a working memory span task frequently used in linguistic research. However, the task was originally designed for English speakers, making it potentially unsuitable for Thai speakers. This study aims to develop an automated online Ospan for Thai speakers based on the task proposed by Unsworth et al. (2005). Pytoolkit was used for development as it is a free program that facilitates the implementation of online experiments. Furthermore, this software supports experiments on both computers and smartphones. The task was refined in two key areas: reducing the complexity of mathematical problems and replacing the letters to be remembered with Thai alphabets. A total of 114 Thai native speakers, aged 18 to 78, participated in this study. The results indicate that simplifying the mathematical problems did not overly reduce the task's difficulty. The average score for the Ospan was 61.23% (SD = 19.06), comparable to the findings of Unsworth et al. (2005). Temporal stability, assessed via test-retest reliability, showed a moderate correlation between the two tests (r = .652). Internal consistency analysis revealed a Cronbach’s alpha of .86, also consistent with the results reported by Unsworth et al. (2005). These findings suggest that the online Ospan developed in this study effectively reflects differences in participants' working memory capacity and is reliable.

References

Aliaga-Garcia, C., Mora, J. C., & Cerviño-Povedano, E. (2011). L2 speech learning in adulthood and phonological short-term memory. Poznań Studies in Contemporary Linguistics, 47(1), 1-14.

Baddeley, A. (2003). Working memory and language: an overview. Journal of Communication Disorders, 36(3), 189–208.

Baddeley, A., & Hitch, G. (1974). Working Memory. Psychology of Learning and Motivation, 8, 47-59.

Bouffier, M., Barbu, C., & Majerus, S. (2020). Verbal working memory but not attention is related to language proficiency: evidence from multilingual speakers. Psychologica Belgica, 60(1), 270–293. https://doi.org/https://doi.org/10.5334/pb.525

Chen, T., Zhao, C., Pan, X., Qu, J., Wei, J., Li, C., Liang, Y., & Zhang, X. (2021). Decoding different working memory states during an operation span task from prefrontal fNIRS signals. Biomedical optics express, 12(6), 3495–3511. https://doi.org/10.1364/BOE.426731

Cho, M. (2018). Task complexity, modality, and working memory in L2 task performance. System, 72, 85–98.

Darcy, I., Park, H., & Yang, C.-L. (2015). Individual differences in L2 acquisition of English phonology: the relation between cognitive abilities and phonological processing. Learning and Individual Differences, 40, 63–72.

Finley, A. J., & Penningroth, S. L. (2015). Online versus in-lab: pros and cons of an online

prospective memory experiment. In A. M. Columbus (Ed.), Advances in Psychology

Research (Vol. 113, pp. 135-162). Nova Science Publishers, Inc.

Fortkamp, M. B. M. (1999). Working memory capacity and aspects of L2 speech production. Communication & Cognition, 32(3-4), 259–295.

Fortkamp, M. B. M. (2003). Working memory capacity and fluency, accuracy, complexity and lexical density in L2 speech production. Fragmentos, 24(1), 69–104.

Kim, J., Gabriel, U., & Gygax, P. (2019). Testing the effectiveness of the Internet-based instrument PsyToolkit: A comparison between web-based (PsyToolkit) and lab-based (E-Prime 3.0) measurements of response choice and response time in a complex psycholinguistic task. PLoS ONE, 14(9). https://doi.org/10.1371/journal.pone.0221802

Kobayashi, A., & Okubo, M. (2012). The measurement of working memory capacity in Japanese participants using the Operation Span Test. Bulletin of Senshu University School of Human Science: Psychology, 2, 24-34.

Kobayashi, A., & Okubo, M. (2014). Assessment of working memory capacity with a Japanese version of the Operation Span Test. The Japanese Journal of Pyschology, 85(1), 60-68.

Li, S., & Roshan, S. (2019). The associations between working memory and the effects of four different types of written corrective feedback. Journal of Second Language Writing, 45, 1-15.

Lu, Y. (2010). Cognitive factors contributing to Chinese EFL learners’ L2 writing performance in timed essay writing Georgia State University].

Mahmoodi, M. H., Sheykholmoluki, H., Zoghipaydar, M. R., & Shahsavari, S. (2022). Working memory capacity and relative clause attachment preference of Persian EFL learners: Does segmentation play any role? Journal of Psycholinguistic Research, 51(4), 683–706. https://doi.org/10.1007/s10936-021-09825-9

Mavrou, I. (2020). Working memory, executive functions, and emotional intelligence in second language writing. Journal of Second Language Writing, 50, 1–13.

McHaney, J. R., Tessmer, R., Roark, C. L., & Chandrasekaran, B. (2021). Working memory relates to individual differences in speech category learning: Insights from computational modeling and pupillometry. Brain and Language, 222, 2-15.

Mukaka, M., M. (2012). Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi medical journal: the journal of Medical Association of Malawi,, 24(3), 69-71.

OECD. (2023). Foreword. In PISA 2022 Results (Volume I): The State of Learning and Equity in Education. OECD Publishing. https://doi.org/10.1787/5968908e-en

Otsuka, K., & Miyatani, M. (2012). The effects of the range of storage item sizes in complex working memory span tasks. Proceedings of the Japanese Society for Cognitive Psychology, 2012, 101. https://doi.org/10.14875/cogpsy.2012.0_101

Papagno, C., & Vallar, G. (1995). Verbal short-term memory and vocabulary learning in polyglots. The Quarterly Journal of Experimental Psychology A: Human Experimental Psychology of Learning and Motivation, 48A(1), 98-107.

Stoet, G. (2010). PsyToolkit - A software package for programming psychological experiments using Linux. Behavior Research Methods, 42, 1096-1104.

Stoet, G. (2017). PsyToolkit: A novel web-based method for running online questionnaires and reaction-time experiments. Teaching of Psychology, 44(1), 24-31.

Unsworth, N., Heitz, R. P., Schrock, J. C., & Engle, R. W. (2005). An automated version of the operation span task. Behavior Research Methods, 37(3), 498-505.

van den Noort, M. W. M. L., Bosch, P., & Hugdahl, K. (2006). Foreign language proficiency and working memory capacity. European Psychologist, 11(4), 289–296. https://doi.org/10.1027/1016-9040.11.4.289

Zabihi, R. (2018). The role of cognitive and affective factors in measures of L2 writing. Written Communication, 35, 32–57.

ZbrodoV, N. J. (1995). Why is 9 + 7 harder than 2 + 3? Strength and interference as explanations of the problem-size effect. Memory & Cognition, 23, 689–700.

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Published

2024-12-27

How to Cite

Siriwittayakorn, T., & Sirikanerat, T. (2024). Development of an Online Operation Span Task for Thai Speakers. Journal of Research Methodology, 37(3), 167–192. retrieved from https://so12.tci-thaijo.org/index.php/jrm/article/view/1209

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Section

Research Article