A Guide to Doing Statistics in Second Language Research Using R - Rilegato
Libro 25 di 61: Second Language Acquisition Research
Sinossi
This indispensible volume introduces second language scholars to the basics of statistical analysis using the powerful and free computer program R. Assuming no prior knowledge of statistical analysis, Jenifer Larson-Hall explains how to understand the process of statistical testing, how to choose the most useful statistical tests, and how to process experimental data in R. She covers the most common statistical tests in the field of second language research – chi-square, t-tests, correlation, multiple regression, ANOVA and others – and additionally shows how to harness R to do robust statistics for many of these statistical tests. With abundant exercises and valuable graphs depicting real-life data sets, A Guide to Doing Statistics in Second Language Research Using R is essential for any second language scholar working with statistical data.
The present volume is a companion to A Guide to Doing Statistics in Second Language Research Using SPSS, also by Jenifer Larson-Hall.
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Contenuti
Chapter 1: Getting started with R. Chapter 2: Some preliminaries to understanding statistics. Chapter 3: Descriptive statistics. Chapter 4: Changing the way we do statistics: Hypothesis testing, power and effect size. Chapter 5: Choosing a statistical test. Chapter 6: Correlation. Chapter 7: Multiple regression. Chapter 8: Chi-square. Chapter 9: T-tests. Chapter 10: ANOVA. Chapter 11: Factorial ANOVA. Chapter 12: Repeated measures ANOVA. Chapter 13: ANCOVA. Chapter 14: Mixed effects models. Appendix: Doing things in R (A detailed summary of various functions that come in handy when using R)
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