Essential Statistics for Applied Linguistics: Using R or JASP

✍ Scribed by Hanneke Loerts, Wander Lowie, Bregtje Seton

• Publisher: Red Globe Press
• Year: 2020
• Tongue: English
• Leaves: 253
• Edition: 2
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Contents
Preface: How to Use This Book
PART 1
1. Types of Research
1.1 Introduction
1.2 Hypothesis generating vs. hypothesis testing
1.3 Case studies vs. group studies
1.4 Description vs. explanation
1.5 Non-experimental vs. experimental
1.6 Process research vs. product research
1.7 Longitudinal vs. cross-sectional
1.8 Qualitative vs. quantitative
1.9 In-situ/naturalistic research vs. laboratory research
1.10 The approaches taken in this book
2. Systematicity in Statistics: Variables
2.1 Introduction
2.2 Why do we need statistics?
2.3 Variables and operationalization
2.4 Statistical dangers and limitations
3. Descriptive Statistics
3.1 Introduction
3.2 Statistics: Means versus relationships
3.3 Describing datasets: Means and dispersion
3.4 A different view on variability
3.5 Frequency distributions
4. Statistical Logic
4.1 Introduction
4.2 Independent versus dependent variables
4.3 Statistical decisions
4.4 The sample and the population
4.5 Degrees of freedom
4.6 Checking assumptions
4.7 Alpha, beta, and effect sizes
4.8 Significance revisited
4.9 Steps in statistical studies
5. Assessing Relationships and Comparing Groups
5.1 Introduction
5.2 Assessing relationships
5.3 Comparing two groups
6. Simple and Multiple Linear Regression Analyses
6.1 Introduction
6.2 Assessing relationships and simple regression
6.3 Multiple linear regression
6.4 Assumptions for regression and (non-­parametric) alternatives
7. Additional Statistics for Group Comparisons
7.1 Introduction
7.2 Comparing more than two groups: The ANOVA
7.3 Factorial ANOVA
7.4 Alternatives for comparing means in case of assumption violations
7.5 Effect sizes
8. Summary and Concluding Remarks
8.1 Introduction
8.2 Overview and summary of tests
8.3 Additional statistics
8.4 Concluding remarks
PART 2-R: Practicals in R/RStudio
Getting ready to start using R and RStudio
Why use R?
Download and start using R and RStudio
R PRACTICAL 1: Exploring R and RStudio and Entering Variables (Chapter 2)
Part A: Simple calculations, vectors, and scripts
Part B: Installing packages – R Markdown
Part C: Importing and looking at data
R PRACTICAL 2: Descriptive Statistics (Chapter 3)
Part A
Part B
Part C
R PRACTICAL 3: Calculations using R (Chapter 4)
Part A
Part B
R PRACTICAL 4: Inductive Statistics (Chapter 5)
Part A: Reading and listening
Part B: Social class
Part C: Gender and intelligence
Part D: Alpha – This assignment is slightly more advanced
R PRACTICAL 5: Regression/Miscellaneous Assignments (Chapter 5/6)
Part A: Nativeness ratings and self-perceived L2 speaking skills
Part B: Age and writing scores
Part C: Instruction, age, and writing scores – This part is slightly more advanced
R PRACTICAL 6: More Advanced Group Comparisons (Chapter 7)
Part A: Exposure and vocabulary scores
Part B: Instruction and writing scores
Part C: Subtitles and vocabulary learning
R PRACTICAL 7: Exam Practice
PART 2-JASP: Practicals in JASP
Getting ready to start using JASP
Why use JASP?
Download and start using JASP
JASP PRACTICAL 1: Exploring JASP and Entering Variables (Chapter 2)
Part A: Importing and looking at data
Part B: Preparing a data file
JASP PRACTICAL 2: Descriptive Statistics (Chapter 3)
Part A
Part B
Part C
JASP PRACTICAL 3: Calculations using JASP (Chapter 4)
Part A
Part B
JASP PRACTICAL 4: Inductive Statistics (Chapter 5)
Part A: Reading and listening
Part B: Social class
Part C: Gender and intelligence
Part D: Alpha – This assignment is slightly more advanced
JASP PRACTICAL 5: Regression/Miscellaneous Assignments (Chapter 5/6)
Part A: Nativeness ratings and self-perceived L2 speaking skills
Part B: Age and writing scores
JASP PRACTICAL 6: More Advanced Group Comparisons (Chapter 7)
Part A: Exposure and vocabulary scores
Part B: Instruction and writing scores
Part C: Subtitles and Vocabulary Learning
JASP PRACTICAL 7: Exam Practice
References
Index
Packages used in PART 2-R
Functions used in PART 2-R