Sampling Bias and the Problem of Generalizability in Applied Linguistics

In this final contribution to the issue, we discuss the important concept of generalizability and how it relates to applied linguists’ ability to serve language learners of all shades and grades. We provide insight into how biased sampling in Applied Linguistics currently is and how such bias may sk...

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Bibliographic Details
Published inAnnual review of applied linguistics Vol. 40; pp. 134 - 142
Main Authors Andringa, Sible, Godfroid, Aline
Format Journal Article
LanguageEnglish
Published New York, USA Cambridge University Press 01.03.2020
Subjects
Applied linguistics
Bias
Demographics
Meta-analysis
Psychology
Reading comprehension
Researchers
Second language learning
Secondary schools
Short Paper
Study abroad
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Summary:In this final contribution to the issue, we discuss the important concept of generalizability and how it relates to applied linguists’ ability to serve language learners of all shades and grades. We provide insight into how biased sampling in Applied Linguistics currently is and how such bias may skew the knowledge that we, applied linguists, are building about second language learning and instruction. For example, our conclusions are often framed as universally-applying, even though the samples that have given rise to them are highly specific and Western, Educated, Industrialized, Rich, and Democratic (WEIRD; Henrich, Heine, & Norenzayan, 2010). We end with a call for research and replication in more diverse contexts and with more diverse samples to promote progress in the field of Applied Linguistics as ARAL celebrates its 40th anniversary.
ISSN:0267-1905
1471-6356
DOI:10.1017/S0267190520000033