Exploring literal and inferential reading comprehension among L2 adolescent learners: the roles of working memory capacity, syllogistic inference, and L2 linguistic knowledge

Kim, Minkyung

doi:10.1007/s11145-022-10320-3

Published: 27 June 2022

Exploring literal and inferential reading comprehension among L2 adolescent learners: the roles of working memory capacity, syllogistic inference, and L2 linguistic knowledge

Minkyung Kim ORCID: orcid.org/0000-0002-9873-2570¹

Reading and Writing (2022)Cite this article

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Abstract

Adopting a cognitive perspective, this study examined roles of working memory capacity (WMC), first language (L1) syllogistic inferencing, and second language (L2) linguistic knowledge on literal and inferential understanding of L2 reading comprehension in adolescent L2 learners. Participants were 193 Korean ninth-grade learners of English. The results indicated that L2 linguistic knowledge had a paramount role in explaining literal and inferential understanding of L2 reading. Results also showed that greater WMC facilitated L2 literal reading comprehension for L2 learners with lower L2 linguistic knowledge. Better L1 syllogistic inferencing skills facilitated L2 inferential reading comprehension for L2 learners with lower WMC and lower L2 linguistic knowledge. In addition, WMC had indirect impacts on L2 reading comprehension primarily through L2 linguistic knowledge, which indicates that WMC may lead to better L2 reading comprehension, but only when learners also have greater L2 linguistic knowledge. Overall, this study suggests the different roles of cognitive resources on L2 reading comprehension depending on reader characteristics and reading subdomains and highlight the importance of examining how cognitive resources influence L2 reading comprehension.

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Notes

L2 was used to refer to a language learned other than a mother tongue. Reading and reading comprehension were interchangeably used.
The current study did not include the listening comprehension section because it focused on reading comprehension.
One reviewer asked whether the correlation between L2 linguistic knowledge and L2 reading comprehension for literal items (r = .84) was significantly higher than that between L2 linguistic knowledge and L2 reading comprehension for inferential items (r = .79). The difference in the magnitude of these two correlations was tested using Williams’ t-test (1959) implemented in the cocor R package (Diedenhofen & Musch, 2015). The William’s t-test allows for comparing two correlations estimated from the same sample with one variable in common. The results of the Williams’ t-test indicated that the difference between the two correlations was significant (t = 2.633, df = 190, p < .01). This result potentially suggests that the two types of L2 reading comprehension items (literal vs. inferential) were different in terms of their relationships with L2 linguistic knowledge.

References

Aloe, A. M., & Becker, B. J. (2012). An effect size for regression predictors in meta-analysis. Journal of Educational and Behavioral Statistics, 37(2), 278–297. https://doi.org/10.3102/1076998610396901
Article Google Scholar
Alptekin, C., & Erçetin, G. (2009). Assessing the relationship of working memory to L2 reading: Does the nature of comprehension process and reading span task make a difference? System, 37(4), 627–639. https://doi.org/10.1016/j.system.2009.09.007
Article Google Scholar
Alwin, D. F., & Hauser, R. M. (1975). The decomposition of effects in path analysis. American Sociological Review. https://doi.org/10.2307/2094445
Article Google Scholar
Bachman, L. F., & Palmer, A. S. (2010). Language assessment in practice: Developing language assessments and justifying their use in the real world. Oxford University Press.
Google Scholar
Baddeley, A. D. (2003). Working memory and language: An overview. Journal of Communication Disorders, 36, 189–208. https://doi.org/10.1016/S0021-9924(03)00019-4
Article Google Scholar
Bara, B. G., Bucciarelli, M., & Johnson-Laird, P. N. (1995). Development of syllogistic reasoning. The American Journal of Psychology, 108(2), 157–193. https://doi.org/10.2307/1423127
Article Google Scholar
Beers, K. (2003). When kids can’t read: What teachers can do. Heinemann.
Google Scholar
Cain, K., & Oakhill, J. V. (1999). Inference making ability and its relation to comprehension failure in young children. Reading and Writing, 11(5–6), 489–503. https://doi.org/10.1023/A:1008084120205
Article Google Scholar
Chai, W. J., Abd Hamid, A. I., & Abdullah, J. M. (2018). Working memory from the psychological and neurosciences perspectives: A review. Frontiers in Psychology, 27, 1–15. https://doi.org/10.3389/fpsyg.2018.00401
Article Google Scholar
Cromley, J. G., & Azevedo, R. (2007). Testing and refining the direct and inferential mediation model of reading comprehension. Journal of Educational Psychology, 99(2), 311–325. https://doi.org/10.1037/0022-0663.99.2.311
Article Google Scholar
Dewey, M. (2007). English as a lingua franca and globalization: An interconnected perspective. International Journal of Applied Linguistics, 17(3), 332–354. https://doi.org/10.1111/j.1473-4192.2007.00177.x
Article Google Scholar
Diedenhofen, B., & Musch, J. (2015). cocor: A comprehensive solution for the statistical comparison of correlations. PLoS One, 10, e0121945. https://doi.org/10.1371/journal.pone.0121945
Article Google Scholar
Elleman, A. M. (2017). Examining the impact of inference instruction on the literal and inferential comprehension of skilled and less skilled readers: A meta-analytic review. Journal of Educational Psychology, 109(6), 761–781. https://doi.org/10.1037/edu0000180
Article Google Scholar
Francis, D. J., Kulesz, P. A., & Benoit, J. S. (2018). Extending the simple view of reading to account for variation within readers and across texts: The complete view of reading (CVR i). Remedial and Special Education, 39(5), 274–288. https://doi.org/10.1177/0741932518772904
Article Google Scholar
Goldman, S. R., & Durán, R. P. (1988). Answering questions from oceanography texts: Learner, task, and text characteristics. Discourse Processes, 11(4), 373–412. https://doi.org/10.1080/01638538809544710
Article Google Scholar
Graesser, A. C., Singer, M., & Trabasso, T. (1994). Constructing inferences during narrative text comprehension. Psychological Review, 101(3), 371–395.
Article Google Scholar
Graesser, A. C., Wiemer-Hastings, P., & Wiemer-Hastings, K. (2001). Constructing inferences and relations during text comprehension. Text Representation: Linguistic and Psycholinguistic Aspects, 8, 249–271. https://doi.org/10.1037/0033-295X.101.3.371
Article Google Scholar
Hannon, B., & Daneman, M. (2001). A new tool for measuring and understanding individual differences in the component processes of reading comprehension. Journal of Educational Psychology, 93(1), 103–128. https://doi.org/10.1037/0022-0663.93.1.103
Article Google Scholar
Harrington, M., & Sawyer, M. (1992). L2 working memory capacity and L2 reading skill. Studies in Second Language Acquisition, 14, 25–38.
Article Google Scholar
Hinkle, D. E., Wiersma, W., & Jurs, S. G. (2003). Applied statistics for the behavioral sciences (5th ed.). Houghton Mifflin.
Google Scholar
Holmes, J., Gathercole, S. E., & Dunning, D. L. (2009). Adaptive training leads to sustained enhancement of poor working memory in children. Developmental Science, 12(4), F9–F15. https://doi.org/10.1111/j.1467-7687.2009.00848.x
Article Google Scholar
Hoover, W. A., & Gough, P. B. (1990). The simple view of reading. Reading and Writing: An Interdisciplinary Journal, 2, 127–160. https://doi.org/10.1007/BF00401799
Article Google Scholar
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Article Google Scholar
Jeon, E. H., & Yamashita, J. (2014). L2 reading comprehension and its correlates: A meta-analysis. Language Learning, 64(1), 160–212. https://doi.org/10.1111/lang.12034
Article Google Scholar
Joh, J., & Plakans, L. (2017). Working memory in L2 reading comprehension: The influence of prior knowledge. System, 70, 107–120. https://doi.org/10.1016/j.system.2017.07.007
Article Google Scholar
Kahane, H. (1992). Logic and Contemporary Rhetoric. Wadsworth.
Google Scholar
Kass, R. E., & Raftery, A. E. (1995). Bayes factors. Journal of the American Statistical Association, 90(430), 773–795.
Article Google Scholar
Khalifa, H., & Weir, C. J. (2009). Examining reading: Research and practice in assessing second language reading. Studies in Language Testing, vol. 29. Cambridge, UK: UCLES/Cambridge University Press.
Khemlani, S., & Johnson-Laird, P. N. (2012). Theories of the syllogism: A meta-analysis. Psychological Bulletin, 138(3), 427–457. https://doi.org/10.1037/a0026841
Article Google Scholar
Kim, Y., Payant, C., & Pearson, P. (2014). The intersection of task-based interaction, task complexity, and working memory. Studies in Second Language Acquisition, 37(3), 549–581. https://doi.org/10.1017/S0272263114000618
Article Google Scholar
Kim, Y. S. G. (2017). Why the simple view of reading is not simplistic: Unpacking component skills of reading using a direct and indirect effect model of reading (DIER). Scientific Studies of Reading, 21(4), 310–333. https://doi.org/10.1080/10888438.2017.1291643
Article Google Scholar
Kintsch, W. (1998). Comprehension: A paradigm for cognition. Cambridge University Press.
Google Scholar
Kline, R. B. (2015). The mediation myth. Basic and Applied Social Psychology, 37(4), 202–213. https://doi.org/10.1080/01973533.2015.1049349
Article Google Scholar
Koda, K. (2005). Insights into second language reading. Cambridge University Press.
Book Google Scholar
Korkmaz, S., Göksülük, D., & Zararsiz, G. (2014). MVN: An R package for assessing multivariate normality. R JOURNAL, 6(2), 151–162.
Article Google Scholar
Kormos, J., & Sáfár, A. (2008). Phonological short-term memory, working memory and foreign language performance in intensive language learning. Bilingualism, 11(2), 261–271. https://doi.org/10.1017/S1366728908003416
Article Google Scholar
Leeser, M. J. (2007). Learner-based factors in L2 reading comprehension and processing grammatical form: Topic familiarity and working memory. Language Learning, 57(2), 229–270. https://doi.org/10.1111/j.1467-9922.2007.00408.x
Article Google Scholar
Lervåg, A., & Aukrust, V. G. (2010). Vocabulary knowledge is a critical determinant of the difference in reading comprehension growth between first and second language learners. Journal of Child Psychology and Psychiatry, 51, 612–620. https://doi.org/10.1111/j.1469-7610.2009.02185.x
Article Google Scholar
Linck, J. A., Osthus, P., Koeth, J. T., & Bunting, M. F. (2014). Working memory and second language comprehension and production: A meta-analysis. Psychonomic Bulletin & Review, 21(4), 861–883. https://doi.org/10.3758/s13423-013-0565-2
Article Google Scholar
MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593–614. https://doi.org/10.1146/annurev.psych.58.110405.085542
Article Google Scholar
Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57(3), 519–530. https://doi.org/10.1093/biomet/57.3.519
Article Google Scholar
Mathôt, S., Schreij, D., & Theeuwes, J. (2012). OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314–324. https://doi.org/10.3758/s13428-011-0168-7
Article Google Scholar
May, S. (2014). The multilingual turn: Implications for SLA, TESOL, and bilingual education. Routledge.
Google Scholar
Michel, M., Kormos, J., Brunfaut, T., & Ratajczak, M. (2019). The role of working memory in young second language learners’ written performances. Journal of Second Language Writing, 45, 31–45. https://doi.org/10.1016/j.jslw.2019.03.002
Article Google Scholar
Norman, G. R., & Streiner, D. L. (2003). Path analysis and structural equation modeling. PDQ Statistics (3rd edn., pp. 156–176). London: BC Decker Inc.
Papp, S., & Rixon, S. (2018). Examining young learners: Research and practice in assessing the English of school-age learners. UCLES/Cambridge University Press.
Google Scholar
Park, G.-P. (2004). Comparison of L2 listening and reading comprehension by university students learning english in Korea. Foreign Language Annals, 37(3), 448–458. https://doi.org/10.1111/j.1944-9720.2004.tb02702.x
Article Google Scholar
Park, J. K. (2009). ‘English fever’in South Korea: Its history and symptoms. English Today, 25(1), 50–57. https://doi.org/10.1017/S026607840900008X
Article Google Scholar
Payne, T. W., Kalibatseva, Z., & Jungers, M. K. (2009). Does domain experience compensate for working memory capacity in second language reading comprehension? Learning and Individual Differences, 19(1), 119–123. https://doi.org/10.1016/j.lindif.2008.05.003
Article Google Scholar
Perfetti, C., Landi, N., & Oakhill, J. (2005). The acquisition of reading comprehension skill. In M. J. Snowling & C. Hulme (Eds.), The science of reading: A handbook (pp. 227–247). Blackwell.
Chapter Google Scholar
Rosenshine, B. (1980). Skills hierarchies in reading comprehension. In R. J. Spiro, B. C. Bruce, & W. F. Brewer (Eds.), Theoretical issues in reading comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence, and education (pp. 535–554). Lawrence Erlbaum.
Google Scholar
Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. R package version .5–22. Retrieved September 24, 2016 from the comprehensive R archive network website: https://cran.r-project.org/web/packages/lavaan/index.html
Satorra, A., & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (Eds.), Latent variables analysis: Applications for developmental research (pp. 399–419). Sage Publications Inc.
Google Scholar
Schneider, W., Eschman, A., & Zuccolotto, A. (2002). E-Prime: User's guide. Psychology Software Incorporated.
Segers, E., & Verhoeven, L. (2016). How logical reasoning mediates the relation between lexical quality and reading comprehension. Reading and Writing, 29(4), 577–590. https://doi.org/10.1007/s11145-015-9613-9
Article Google Scholar
So, Y., Wolf, M. K., Hauck, M. C., Mollaun, P., Rybinski, P., Tumposky, D., & Wang, L. (2015). TOEFL Junior design framework (TOEFL Junior Research Report No. TOEFL JR-02). Princeton, NJ: Educational Testing Service.
Stæhr, L. S. (2008). Vocabulary size and the skills of listening, reading and writing. Language Learning Journal, 36(2), 139–152. https://doi.org/10.1080/09571730802389975
Article Google Scholar
Stanovich, K. E., & West, R. F. (2000). Individual differences in reasoning: Implications for the rationality debate? Behavioral and Brain Sciences, 23(5), 645–665. https://doi.org/10.1017/S0140525X00003435
Article Google Scholar
Tabachnick, B., & Fidell, L. (2007). Using Multivariate Statistics. Pearson Education Inc.
Google Scholar
Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
Article Google Scholar
Tompkins, V., Guo, Y., & Justice, L. M. (2013). Inference generation, story comprehension, and language in the preschool years. Reading and Writing: An Interdisciplinary Journal, 26, 403–429. https://doi.org/10.1007/s11145-012-9374-7
Article Google Scholar
van Gelderen, A., Schoonen, R., de Glopper, K., Hulstijn, J., Simis, A., Snellings, P., & Stevenson, M. (2004). Linguistic knowledge, processing speed, and metacognitive knowledge in first- and second-language reading comprehension: A componential analysis. Journal of Educational Psychology, 96(1), 19–30. https://doi.org/10.1037/0022-0663.96.1.19
Article Google Scholar
van Steensel, R., Oostdam, R., & van Gelderen, A. (2012). Assessing reading comprehension in adolescent low achievers: Subskills identification and task specificity. Language Testing, 30(1), 3–21. https://doi.org/10.1177/0265532212440950
Article Google Scholar
van Steensel, R., Oostdam, R., van Gelderen, A., & van Schooten, E. (2016). The role of word decoding, vocabulary knowledge and meta-cognitive knowledge in monolingual and bilingual low-achieving adolescents’ reading comprehension. Journal of Research in Reading, 39(3), 312–329. https://doi.org/10.1111/1467-9817.12042
Article Google Scholar
Williams, J. N. (2012). Working memory and SLA. In S. Gass & A. Mackey (Eds.), Handbook of second language acquisition (pp. 427–441). Routledge.
Google Scholar
Wright, C. (2015). Working memory and L2 development across the lifespan: A commentary. In Z. E. Wen, M. B. Mota, & A. McNeill (Eds.), Working memory in second language acquisition and processing (pp. 285–298). Multilingual Matters.
Chapter Google Scholar

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Acknowledgements

This research was funded by Educational Testing Service (ETS) under a Committee of Examiners and the Test of English as a Foreign Language Young Students research grant. ETS does not discount or endorse the methodology, results, implications, or opinions presented by the researcher. This work was partially supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number 20K13119.

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Nagoya University of Commerce and Business, Sagamine-4-4 Komenokicho, Nisshin, Aichi, 470-0193, Japan
Minkyung Kim

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Kim, M. Exploring literal and inferential reading comprehension among L2 adolescent learners: the roles of working memory capacity, syllogistic inference, and L2 linguistic knowledge. Read Writ (2022). https://doi.org/10.1007/s11145-022-10320-3

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Accepted: 20 May 2022
Published: 27 June 2022
DOI: https://doi.org/10.1007/s11145-022-10320-3

Keywords

Second language reading comprehension
Working memory capacity
Syllogistic inferencing
Linguistic knowledge