The DOI matches its Crossref record.
A Theory‐Based Approach to the Measurement of Foreign Language Learning Ability: The Canal‐F Theory and Test
Abstract
This article presents a rationale, description, and partial construct validation of a new theory of foreign language aptitude: CANAL‐F—Cognitive Ability for Novelty in Acquisition of Language (Foreign). The theory was applied and implemented in a test of foreign language aptitude (CANAL‐FT). Three unique features differentiate the new test from many existing tests of FL aptitude. The CANAL‐FT is grounded in cognitive theory, dynamic rather than static, and simulation‐based. This article outlines the CANAL‐F theory and details of its instrumentation through the test (CANAL‐FT), discusses the psychometric properties of the CANAL‐FT, and presents the first construct‐validation data on the theory and test.
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Citations
Cited by
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Dörnyei, Z., & Skehan, P. (2003) · The Handbook of Second Language Acquisition · doi:10.1002/9780470756492.ch18 · Cited by 563
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Abrahamsson, N., & Hyltenstam, K. (2008) · Studies in Second Language Acquisition · doi:10.1017/s027226310808073x · Cited by 446
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Juffs, A., & Harrington, M. (2011) · Language Teaching · doi:10.1017/s0261444810000509 · Cited by 249
Foreign language aptitude theory: Yesterday, today and tomorrow
Wen, Z. (., Biedroń, A., & Skehan, P. (2017) · Language Teaching · doi:10.1017/s0261444816000276 · Cited by 248
Individual Differences and the Ergodicity Problem
Lowie, W. M., & Verspoor, M. H. (2019) · Language Learning · doi:10.1111/lang.12324 · Cited by 244
The role of task complexity, modality, and aptitude in narrative task performance
Kormos, J., & Trebits, A. (2012) · Language Learning · doi:10.1111/j.1467-9922.2012.00695.x · Cited by 173
SPARKS, R. L., PATTON, J., GANSCHOW, L., & HUMBACH, N. (2009) · Applied Psycholinguistics · doi:10.1017/s0142716409990099 · Cited by 158
Individual Differences in Second Language Learning
Ellis, R. (2004) · The Handbook of Applied Linguistics · doi:10.1002/9780470757000.ch21 · Cited by 126
New conceptualizations of linguistic giftedness.
Biedroń, A., & Pawlak, M. (2016) · Language Teaching · doi:10.1017/s0261444815000439 · Cited by 70
Aptitudes, abilities, contexts, and practice
Robinson, P. (2007) · Practice in a Second Language · doi:10.1017/cbo9780511667275.015 · Cited by 69
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Rogers, V., Meara, P., Barnett-Legh, T., Curry, C., & Davie, E. (2017) · Journal of the European Second Language Association · doi:10.22599/jesla.24 · Cited by 57
LANGUAGE APTITUDE AND GRAMMATICAL DIFFICULTY: An EFL Classroom-Based Study
Yalçın, Ş., & Spada, N. (2016) · Studies in Second Language Acquisition · doi:10.1017/s0272263115000509 · Cited by 47
Foreign language aptitude, acquisitional sequences, and psycholinguistic processes
Skehan, P. (2016) · Bilingual Processing and Acquisition · doi:10.1075/bpa.3.02ske · Cited by 44
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Robinson, P. (2012) · Second Language Learning and Teaching · doi:10.1007/978-3-642-20850-8_4 · Cited by 39
Neurology of foreign language aptitude
Biedroń, A. (2015) · Studies in Second Language Learning and Teaching · doi:10.14746/ssllt.2015.5.1.2 · Cited by 16
Sixty years of second language aptitude research: A systematic quantitative literature review
Chalmers, J., Eisenchlas, S. A., Munro, A., & Schalley, A. C. (2021) · Language and Linguistics Compass · doi:10.1111/lnc3.12440 · Cited by 12
Moskovsky, C., Alshahrani, M., Ratcheva, S., & Paolini, S. (2015) · Arab World English Journal · doi:10.24093/awej/vol6no1.1 · Cited by 6
Metadata
- Authors
- Grigornko, E. L., Sternberg, R. J., & Ehrman, M. E.
- Venue
- The Modern Language Journal
- Publisher
- Wiley
- Published
- 2000-09
- Volume
- 84
- Issue
- 3
- Pages
- 390-405
- ISSN
- 0026-7902 (ISSN-L)
- 1540-4781
- OpenAlex
- W2097942542
- Cited by
- 241
- References
- 0
- FWCI
- 14.82
- Type
- journal article
- Language
- en
- Open access
- closed
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