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El. knyga: Essential Statistics for Applied Linguistics: Using R or JASP

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Hanneke Loerts (University of Groningen, ADUARD, The Netherlands), Wander Lowie (University of Groningen, Groningen), Bregtje Seton (University of Groningen, Groningen)

Formatas: EPUB+DRM
Išleidimo metai: 06-Feb-2020
Leidėjas: Bloomsbury Academic
Kalba: eng
ISBN-13: 9781352007824

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Formatas: EPUB+DRM
Išleidimo metai: 06-Feb-2020
Leidėjas: Bloomsbury Academic
Kalba: eng
ISBN-13: 9781352007824

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Assuming no prior knowledge, this text provides a concise, practical and accessible introduction to using, analysing and interpreting statistics and methodologies in empirical work using R or JASP. It takes an activity-based approach, in which students are first stimulated to consider a problem or question and find their own solution before the conventional way of solving that problem or question is introduced. 'How To' guides on R and JASP, which take students step-by-step through statistical analyses and practical assignments, are available on the book's companion website. This book will be an invaluable resource for undergraduate and postgraduate students of applied linguistics.

New to this Edition: - Now focuses on R and JASP, two increasingly popular open source softwares used by linguists - 'How To' guides to help students strengthen their understanding and apply what they have learnt available on a companion site - Contains more comprehensive coverage of effect sizes, basic methods, regression theory, relationship studies and non-parametric tests

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/essential-statistics-for-applied-linguistics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Recenzijos

An excellent step-by-step introduction to both statistics and statistical software packages, this new edition has been thoroughly revised and substantially augmented, providing detailed guidance for not one but two open access software packages. New sections on linear regression and effect sizes make this edition even more immediately useful for both staff and students. * Gabriel Ozon, University of Sheffield, UK * This revised edition deserves to be on the bedside table of every applied linguist: it is enlightening and practical, and reading it is hugely rewarding! * Jean-Marc Dewaele, Birkbeck University of London, UK *

Preface: How to Use This Book

PART 1 Types of Research

(124)

1.1 Introduction

(1)

1.2 Hypothesis generating vs. hypothesis testing

(3)

1.3 Case studies vs. group studies

(1)

1.4 Description vs. explanation

(1)

1.5 Non-experimental vs. experimental

(2)

1.6 Process research vs. product research

(1)

1.7 Longitudinal vs. cross-sectional

(2)

1.8 Qualitative vs. quantitative

(1)

1.9 In-situ/naturalistic research vs. laboratory research

(3)

1.10 The approaches taken in this book

(1)

2 Systematicity in Statistics: Variables

(8)

2.1 Introduction

(1)

2.2 Why do we need statistics?

(1)

2.3 Variables and operationalization

(3)

2.4 Statistical dangers and limitations

(3)

3 Descriptive Statistics

(16)

3.1 Introduction

(1)

3.2 Statistics: Means versus relationships

(2)

3.3 Describing datasets: Means and dispersion

(6)

3.4 A different view on variability

(2)

3.5 Frequency distributions

(6)

4 Statistical Logic

(20)

4.1 Introduction

(1)

4.2 Independent versus dependent variables

(2)

4.3 Statistical decisions

(7)

4.4 The sample and the population

(3)

4.5 Degrees of freedom

(1)

4.6 Checking assumptions

(2)

4.7 Alpha, beta, and effect sizes

(2)

4.8 Significance revisited

(1)

4.9 Steps in statistical studies

(3)

5 Assessing Relationships and Comparing Groups

(17)

5.1 Introduction

(1)

5.2 Assessing relationships

(10)

5.3 Comparing two groups

(7)

6 Simple and Multiple Linear Regression Analyses

(15)

6.1 introduction

(1)

6.2 Assessing relationships and simple regression

(8)

6.3 Multiple linear regression

(4)

6.4 Assumptions for regression and (non-parametric) alternatives

(3)

7 Additional Statistics for Group Comparisons

(16)

7.1 Introduction

(1)

7.2 Comparing more than two groups: The ANOVA

(5)

7.3 Factorial ANOVA

101

(6)

7.4 Alternatives for comparing means in case of assumption violations

107

(2)

7.5 Effect sizes

109

(2)

8 Summary and Concluding Remarks

111

(16)

8.1 Introduction

111

(1)

8.2 Overview and summary of tests

111

(7)

8.3 Additional statistics

118

(4)

8.4 Concluding remarks

122

(5)

PART 2-R Practicals in R/RStudio

127

(68)

Getting ready to start using R and RStudio

129

(3)

Why use R?

129

(1)

Download and start using Rand RStudio

130

(2)

R Practical 2 Exploring R and RStudio and Entering Variables (Chapter 2)

132

(14)

Part A Simple calculations, vectors, and scripts

132

(5)

Part B Installing packages -- R Markdown

137

(3)

Part C Importing and looking at data

140

(6)

R Practical 2 Descriptive Statistics (Chapter 3)

146

(8)

Part A

146

(4)

Part B

150

(1)

Part C

151

(3)

R Practical 3 Calculations using R (Chapter 4)

154

(8)

Part A

154

(7)

Part B

161

(1)

R Practical 4 Inductive Statistics (Chapter 5)

162

(11)

Part A Reading and listening

152

(3)

Part B Social class

155

(2)

Part C Gender and intelligence

157

(14)

Part D Alpha -- This assignment is slightly more advanced

171

(2)

R Practical 5 Regression/Miscellaneous Assignments (Chapter 5/6)

173

(8)

Part A Nativeness ratings and self-perceived L2 speaking skills

173

(1)

Part B Age and writing scores

174

(3)

Part C Instruction, age, and writing scores -- This part is slightly more advanced

177

(4)

R Practical 6 More Advanced Group Comparisons (Chapter 7)

181

(10)

Part A Exposure and vocabulary scores

131

(51)

Part B Instruction and writing scores

182

(3)

Part C Subtitles and vocabulary learning

185

(6)

R Practical 7 Exam Practice

191

(4)

PART 2-JASP Practicals in JASP

195

(44)

Getting ready to start using JASP

197

(3)

Why use JASP?

197

(1)

Download and start using JASP

197

(3)

JASP Practical 1 Exploring JASP and Entering Variables (Chapter 2)

200

(3)

Part A Importing and looking at data

200

(2)

Part B Preparing a data file

202

(1)

JASP Practical 2 Descriptive Statistics (Chapter 3)

203

(5)

Part A

203

(3)

Part B

206

(1)

Part C

206

(2)

JASP Practical 3 Calculations using JASP (Chapter 4)

208

(7)

Part A

208

(6)

Part B

214

(1)

JASP Practical 4 Inductive Statistics (Chapter 5)

215

(9)

Part A Reading and listening

215

(2)

Part B Social class

217

(2)

Part C Gender and intelligence

219

(4)

Part D Alpha -- This assignment is slightly more advanced

223

(1)

JASP Practical 5 Regression/Miscellaneous Assignments (Chapter 5/6)

224

(4)

Part A Nativeness ratings and self-perceived L2 speaking skills

224

(1)

Part B Age and writing scores

225

(3)

JASP Practical 6 More Advanced Group Comparisons (Chapter 7)

228

(8)

Part A Exposure and vocabulary scores

228

(1)

Part B Instruction and writing scores

229

(3)

Part C Subtitles and Vocabulary Learning

232

(4)

JASP Practical 7 Exam Practice

236

(3)

References

239

(3)

Index

242

(4)

Packages used in 2-R

246

(1)

Functions used in 2-R

247

Hanneke Loerts is Assistant Professor in the Department of Minorities and Multilingualism at the University of Groningen, The Netherlands, where she teaches courses on research methodology, psycho- and neurolinguistics.

Wander Lowie is Professor in Applied Linguistics at the University of Groningen, The Netherlands. His publications include Second Language Acquisition: An Advanced Resource Book, A Dynamic Approach to Second Language Development: Methods and Techniques and Twenty Years of Research into Bilingualism: From Structure to Chaos.

Bregtje Seton is Study Advisor and Lecturer at the University of Groningen, The Netherlands, and teacher trainer at NHL Stenden University of Applied Sciences. She teaches courses on applied linguistics, including language acquisition and attrition.

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Raktažodžiai:

Linguistics - Statistical methods

El. knyga: Essential Statistics for Applied Linguistics: Using R or JASP

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