Variability and individual differences in L2 sociolinguistic evaluations: The GROUP, the INDIVIDUAL and the HOMOGENEOUS ENSEMBLE
This study is the first to investigate subject-level variability in sociolinguistic evaluative judgements by 30 adult L2 German learners and explore whether the observed variability is characterizable as a function of individual differences in proficiency, exposure, and motivation. Because group-lev...
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Published in | Studies in second language acquisition Vol. 45; no. 5; pp. 1186 - 1209 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York, USA
Cambridge University Press
01.12.2023
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Subjects | |
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Abstract | This study is the first to investigate subject-level variability in sociolinguistic evaluative judgements by 30 adult L2 German learners and explore whether the observed variability is characterizable as a function of individual differences in proficiency, exposure, and motivation. Because group-level estimates did not paint an accurate picture of the individual, we propose methods capable of integrating population-level estimates with person- and ensemble-centered approaches so as to reconcile generalizability and individuality. Using random effects from Bayesian mixed-effects models, we found that global subject-level variability in evaluative judgements was not predicted by individual differences. By building homogeneous ensembles (i.e., subgroups of individuals with similar evaluative judgements), however, it was possible to assess whether ensembles were characteristic of certain levels of individual differences. This ensemble-centered approach presents an innovative way to address the group-to-individual generalizability issue in cross-sectional data and transcend individual variability in order to make tentative generalizations of individual cases to wider populations. |
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AbstractList | This study is the first to investigate subject-level variability in sociolinguistic evaluative judgements by 30 adult L2 German learners and explore whether the observed variability is characterizable as a function of individual differences in proficiency, exposure, and motivation. Because group-level estimates did not paint an accurate picture of the individual, we propose methods capable of integrating population-level estimates with person- and ensemble-centered approaches so as to reconcile generalizability and individuality. Using random effects from Bayesian mixed-effects models, we found that global subject-level variability in evaluative judgements was not predicted by individual differences. By building homogeneous ensembles (i.e., subgroups of individuals with similar evaluative judgements), however, it was possible to assess whether ensembles were characteristic of certain levels of individual differences. This ensemble-centered approach presents an innovative way to address the
group-to-individual generalizability
issue in cross-sectional data and transcend individual variability in order to make tentative generalizations of individual cases to wider populations. This study is the first to investigate subject-level variability in sociolinguistic evaluative judgements by 30 adult L2 German learners and explore whether the observed variability is characterizable as a function of individual differences in proficiency, exposure, and motivation. Because group-level estimates did not paint an accurate picture of the individual, we propose methods capable of integrating population-level estimates with person- and ensemble-centered approaches so as to reconcile generalizability and individuality. Using random effects from Bayesian mixed-effects models, we found that global subject-level variability in evaluative judgements was not predicted by individual differences. By building homogeneous ensembles (i.e., subgroups of individuals with similar evaluative judgements), however, it was possible to assess whether ensembles were characteristic of certain levels of individual differences. This ensemble-centered approach presents an innovative way to address the group-to-individual generalizability issue in cross-sectional data and transcend individual variability in order to make tentative generalizations of individual cases to wider populations. |
Author | Pfenninger, Simone E. Wirtz, Mason A. |
Author_xml | – sequence: 1 givenname: Mason A. orcidid: 0000-0002-9408-1993 surname: Wirtz fullname: Wirtz, Mason A. organization: 1University of Salzburg, Department of German Language and Literatures, Salzburg, Austria – sequence: 2 givenname: Simone E. orcidid: 0000-0002-0433-4812 surname: Pfenninger fullname: Pfenninger, Simone E. email: simone.pfenninger@es.uzh.ch organization: 2University of Zurich, English Department, Zurich, Switzerland |
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Copyright | The Author(s), 2023. Published by Cambridge University Press The Author(s), 2023. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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SubjectTerms | Dialect Studies Dialects Estimates German as a second language German language Heterogeneous Grouping Individual differences Intelligence Language Language Proficiency Language Variation Learning Processes Motivation Native Speakers Predictor Variables Second language learning Sociolinguistics Stimuli Verbal Stimuli |
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Title | Variability and individual differences in L2 sociolinguistic evaluations: The GROUP, the INDIVIDUAL and the HOMOGENEOUS ENSEMBLE |
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