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Mazgutova, D and Mccray, G (2023) An exploratory analysis of revision behavior development of L2 writers on an intensive English for academic purposes program using Bayesian methods. Frontiers in Communication, 7.
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Abstract
<jats:p>Revision is a fundamental part of the writing process and is particularly important in the production of high-quality academic writing. This study is an <jats:italic>exploratory</jats:italic> examination of changes in revision behavior, as measured by keystroke logging software, at the beginning (T1) and end (T2) of a one-month intensive English for Academic Purposes (EAP) course on <jats:italic>n</jats:italic> = 39 undergraduate and postgraduate students. Bayes Factors (BFs) are utilized as measures of strength of evidence for changes in behavior. In this paper, we examine the application of a Bayesian Hypothesis Testing (BHT) approach and its implications specifically for exploratory studies, i.e., studies with relatively small samples intended to search data for emergent patterns. The results show that, in most cases, we have moderate evidence against any change in behavior over time. Based on this evidence, we conclude that the experimental parameters of further exploratory work into the development of revisions should be modified to maximize the chance of finding patterns in the data from which to generate any confirmatory hypotheses.</jats:p>
Item Type: | Article |
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Additional Information: | © 2023 Mazgutova and McCray. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Uncontrolled Keywords: | writing, emerging technologies, digital writing, writing development, teaching and learning writing, Bayesian, exploratory studies, study design |
Subjects: | R Medicine > R Medicine (General) |
Divisions: | Faculty of Medicine and Health Sciences > School of Medicine |
Depositing User: | Symplectic |
Date Deposited: | 29 Mar 2023 08:04 |
Last Modified: | 29 Mar 2023 08:04 |
URI: | https://eprints.keele.ac.uk/id/eprint/12088 |