2016
DOI: 10.1017/s027226311600022x
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L1 Explicit Instruction Can Improve L2 Online and Offline Performance

Abstract: Article:McManus, Kevin orcid.org/0000-0002-7855-6733 and Marsden, Emma orcid.org/0000-0003-4086-5765 (2017) L1 explicit instruction can improve L2 online and offline performance. Studies in Second Language Acquisition. pp. 459-492. ISSN 1470459-492. ISSN -1545 https://doi.org/10.1017/S027226311600022X eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloa… Show more

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Cited by 70 publications
(135 citation statements)
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“…4 Based on Plonsky and Oswald (), effect sizes for within‐group comparisons (e.g., grammar + pronunciation group at pretest vs. posttest) were considered large when d > 1.40, medium when d = 1.00, and small when d < 0.60, and effect sizes for between‐group comparisons (e.g., grammar + pronunciation vs. grammar‐only group at pretest) were considered large when d > 1.00, medium when d = 0.70, and small when d < 0.40. Adjusted effect sizes to account for any baseline differences between the two groups on the pretest are also reported for all between‐group comparisons (see McManus & Marsden, , for similar procedures). In interpreting all effect sizes reported here, it is important to note that in the context of textual IE studies, both within‐ and between‐group effect sizes are usually small, with Lee and Huang () reporting an average within‐group effect size of d = 0.55 when comparing pretest to posttest results, and average between‐group effect sizes ranging from d = 0.22 to d = −0.13 for posttest and delayed posttest measures between groups receiving textual IE and groups receiving an unenhanced input flood (p. 307; see Alsadhan, , for similar findings for textual IE).…”
Section: Methodsmentioning
confidence: 99%
“…4 Based on Plonsky and Oswald (), effect sizes for within‐group comparisons (e.g., grammar + pronunciation group at pretest vs. posttest) were considered large when d > 1.40, medium when d = 1.00, and small when d < 0.60, and effect sizes for between‐group comparisons (e.g., grammar + pronunciation vs. grammar‐only group at pretest) were considered large when d > 1.00, medium when d = 0.70, and small when d < 0.40. Adjusted effect sizes to account for any baseline differences between the two groups on the pretest are also reported for all between‐group comparisons (see McManus & Marsden, , for similar procedures). In interpreting all effect sizes reported here, it is important to note that in the context of textual IE studies, both within‐ and between‐group effect sizes are usually small, with Lee and Huang () reporting an average within‐group effect size of d = 0.55 when comparing pretest to posttest results, and average between‐group effect sizes ranging from d = 0.22 to d = −0.13 for posttest and delayed posttest measures between groups receiving textual IE and groups receiving an unenhanced input flood (p. 307; see Alsadhan, , for similar findings for textual IE).…”
Section: Methodsmentioning
confidence: 99%
“…Another controversial line of inquiry is related to the role of explicit information in the first and second language (McManus & Marsden, 2017) and in PI. To investigate any possible effect of EI in PI, for instance, VanPatten and Oik-VOLUmE 34, iSSUE 2, 2017 kenon (1996) carried out a study that compared learners receiving PI+EI (full PI), PI-EI (structured input only), and EI only.…”
Section: Processing Instruction and Explicit Informationmentioning
confidence: 99%
“…In contrast, intentional learning entails deliberate effort on the part of the learner to commit novel information to memory, with explicit (conscious) knowledge a likely outcome (Hulstijn, 2005; Leow and Zamora, 2017). Studies that directly compare incidental and intentional learning of language typically find an advantage for the latter, for both vocabulary (e.g., Sonbul and Schmitt, 2013; Bordag et al, 2016; Khezrlou et al, 2017) and grammar (e.g., de Graaff, 1997; Tagarelli et al, 2011, 2015, 2016; Denhovska and Serratrice, 2017; McManus and Marsden, 2017). …”
Section: Introductionmentioning
confidence: 99%