Statistical Modeling in L3/L<span class='italic'>n</span> Acquisition

doi:10.1017/9781108957823.030

29 - Statistical Modeling in L3/Ln Acquisition

from Part VI - Research Methods in L3/Ln

Published online by Cambridge University Press: 13 July 2023

Guilherme D. Garcia

Edited by

Jennifer Cabrelli ,

Adel Chaouch-Orozco ,

Jorge González Alonso ,

Sergio Miguel Pereira Soares ,

Eloi Puig-Mayenco and

Jason Rothman

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Jennifer Cabrelli: Affiliation:
University of Illinois, Chicago
Adel Chaouch-Orozco: Affiliation:
The Hong Kong Polytechnic University
Jorge González Alonso: Affiliation:
Universidad Nebrija, Spain and UiT, Arctic University of Norway
Sergio Miguel Pereira Soares: Affiliation:
Max Planck Institute for Psycholinguistics
Eloi Puig-Mayenco: Affiliation:
King's College London
Jason Rothman: Affiliation:
UiT, Arctic University of Norway and Universidad Nebrija, Spain

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Summary

This chapter introduces Bayesian data analysis and shows how such an approach can better deal with the intricacies of Ln acquisition data. The data analyzed is simulated based on Rothman’s (2010) study to demonstrate how we can use Bayesian models to estimate variables of interest in R. The chapter discusses (1) how to tackle smaller sample sizes and (2) how to incorporate theoretical principles and assumptions into our statistical analysis. As will be shown, in addition to its general advantages, Bayesian data analysis provides an effective toolset to address both (1) and (2). It also offers a much more nuanced and comprehensive approach to meet the methodological needs in the field.

Type: Chapter
Information: The Cambridge Handbook of Third Language Acquisition , pp. 744 - 770

DOI: https://doi.org/10.1017/9781108957823.030 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2023

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