Statistical modelling in L3/Ln acquisition
Guilherme D. Garcia · 2022
This chapter introduces Bayesian data analysis and shows how such an approach can better deal with the intricacies of L n acquisition data. The data analyzed is simulated based on Rothman (2010) to demonstrate how we can use Bayesian models to estimate variables of interest in R. The chapter discusses (a) how to tackle smaller sample sizes and (b) 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 (a) and (b). It also offers a much more nuanced and comprehensive approach to meet the methodological needs in the field. All files and code used are available at OSF.