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Part of
Critical Reflections on Data in Second Language Acquisition
Edited by Aarnes Gudmestad and Amanda Edmonds
[Language Learning & Language Teaching 51] 2018
► pp. 63–88

Chapter 3
Data analysis and sampling

Methodological issues concerning proficiency in SLA research

| University of Nevada , Reno
This chapter addresses the construct of second-language (L2) proficiency as it pertains to L2 data analysis. In L2 studies, a common practice is to group participants into proficiency categories (i.e., groups such as ‘intermediate’ or ‘advanced’; a practice known as dichotomization). Nevertheless, I argue that, for theoretical and empirical reasons, proficiency should be analyzed as a true continuous variable. Theoretically, we conceptualize adult L2 acquisition as a continuous process driven by basic learning mechanisms that may be constrained by underlying principles. Empirically, I present evidence illustrating how creating categorical groups by carving up a continuous dependent measure is statistically inappropriate. Finally, I address the importance of sampling practices and why it is preferable to include participants from a broad proficiency spectrum.
Keywords: L2 proficiency, dichotomization, data analysis, quantitative research methods
Article outline
  • Introduction
  • Background
    • The construct of L2 proficiency
    • The measurement of L2 proficiency in empirical studies
  • Issues in data analysis: Dichotomizing proficiency
  • Data sampling and proficiency
  • Conclusion
  • Acknowledgements
  • Notes
  • References
Published online: 10 September 2018
DOI logo
https://doi.org/10.1075/lllt.51.04lea
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