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This introduction to visualization techniques and statistical
models for second language research focuses on three types of data
(continuous, binary, and scalar), helping readers to understand
regression models fully and to apply them in their work. Garcia
offers advanced coverage of Bayesian analysis, simulated data,
exercises, implementable script code, and practical guidance on the
latest R software packages. The book, also demonstrating the
benefits to the L2 field of this type of statistical work, is a
resource for graduate students and researchers in second language
acquisition, applied linguistics, and corpus linguistics who are
interested in quantitative data analysis.
This introduction to visualization techniques and statistical
models for second language research focuses on three types of data
(continuous, binary, and scalar), helping readers to understand
regression models fully and to apply them in their work. Garcia
offers advanced coverage of Bayesian analysis, simulated data,
exercises, implementable script code, and practical guidance on the
latest R software packages. The book, also demonstrating the
benefits to the L2 field of this type of statistical work, is a
resource for graduate students and researchers in second language
acquisition, applied linguistics, and corpus linguistics who are
interested in quantitative data analysis.
|
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