Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Acknowledgments; Part I Statistical Ideas; 1 Getting Started with the Software and Using the Computer for Experimental Details; 1.1 Getting Started with SPSS; 1.1.1 Opening a Data File; 1.1.2 Entering Your Own Data; 1.1.3 Application Activity for Getting Started with SPSS; 1.1.4 Importing Data into SPSS; 1.1.5 Saving Your Work in SPSS; 1.1.6 Application Activities for Importing and Saving Files; 1.2 Getting Started with R; 1.2.1 Downloading and Installing R; 1.2.2 Customizing R in Windows.
1.2.3 Loading Packages and R Commander1.2.4 A List of All the R Packages Used in this Book; 1.3 Working with Data in R and R Commander; 1.3.1 Entering Your Own Data; 1.3.2 Importing Files into R through R Commander; 1.3.3 Viewing Entered Data; 1.3.4 Saving Data and Reading It Back In; 1.3.5 Saving Graphics Files; 1.3.6 Closing R and R Commander; 1.3.7 Application Activities Practicing Entering Data into R; 1.4 Understanding the R Environment; 1.4.1 Using R as a Calculator; 1.4.2 Using R as a Calculator Practice Activities; 1.4.3 Objects in R; 1.4.4 Creating Objects in R Practice Activities.
1.4.5 Types of Data in R1.4.6 Types of Data Practice Activities; 1.4.7 Functions in R; 1.4.8 Functions in R Practice Activities; 1.4.9 The R Workspace; 1.4.10 Specifying Variables within a Data Set, and Attaching and Detaching Data Sets; 1.5 Missing Data; 1.5.1 Missing Data and Multiple Imputation in SPSS; 1.5.2 Missing Data Application Activity in SPSS; 1.5.3 Missing Data and Multiple Imputation in R; 1.5.4 Missing Data Application Activity in R; 1.6 Getting Help; 1.6.1 Getting Help with SPSS; 1.6.2 Getting Help with R; 1.7 Summary; 2 Some Preliminaries to Understanding Statistics.
2.1 Variables2.1.1 Levels of Measurement of Variables; 2.1.2 Application Activity: Practice in Identifying Levels of Measurement; 2.1.3 Dependent and Independent Variables; 2.1.4 Application Activities: Practice in Identifying Variables; 2.1.5 Summary of Variables; 2.1.6 Fixed versus Random Effects (Advanced Topic); 2.2 Understanding Hidden Assumptions about How Statistical Testing Works; 2.2.1 Hypothesis Testing; 2.2.2 Application Activities: Creating Null Hypotheses; 2.2.3 Who Gets Tested? Populations versus Samples and Inferential Statistics; 2.2.4 What Does a P-Value Mean?
2.2.5 Effect Sizes2.2.6 Understanding Statistical Reporting; 2.2.7 Application Activities: Understanding Statistical Reporting; 2.2.8 The Inner Workings of Statistical Testing; 2.2.9 Application Activity: The Inner Workings of Statistical Testing; 2.2.10 Summary of Hidden Assumptions; 2.3 Parametric and Non-Parametric Statistics; 2.3.1 Why Robust Statistics?; 2.4 Summary; 3 Describing Data Numerically and Graphically and Assessing Assumptions for Parametric Tests; 3.1 Numerical Summaries of Data; 3.1.1 The Mean, Median and Mode; 3.1.2 Standard Deviation, Variance and Standard Error.
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A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition is the only text available that demonstrates how to use SPSS and R as specifically related to applied linguistics and SLA research. This new edition is up-to-date with the most recent version of the SPSS software and now also includes coverage of R, a software program increasingly used by researchers in this field. Supported by a number of pedagogical features, including tip boxes and practice activities, and a wealth of screenshots, this book takes readers through each step of performing and understanding.
Guide to doing statistics in second language research using SPSS and R.
9781138024564
SPSS (Computer file)
SPSS (Computer file)
SPSS (Computer file)
R (Computer program language)
Second language acquisition-- Research.
Second language acquisition-- Statistical methods.
FOREIGN LANGUAGE STUDY-- Multi-Language Phrasebooks.
LANGUAGE ARTS & DISCIPLINES-- Alphabets & Writing Systems.
LANGUAGE ARTS & DISCIPLINES-- Grammar & Punctuation.
LANGUAGE ARTS & DISCIPLINES-- Linguistics-- General.
LANGUAGE ARTS & DISCIPLINES-- Readers.
LANGUAGE ARTS & DISCIPLINES-- Spelling.
R (Computer program language)
Second language acquisition-- Research.
Second language acquisition-- Statistical methods.