Guide to Doing Statistics in Second Language Research Using SPSS, JASP, and R

AvJenifer Larson-Hall,Christopher Nicklin

Häftad, Engelska, 2027

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A Guide to Doing Statistics in Second Language Research Using SPSS and R 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 has been thoroughly updated with the most recent developments in SPSS and R, and now also includes JASP, a software program that harnesses the power of R with a point-and-click interface.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 statistical research, covering the most commonly used tests in second language research, including t-tests, correlation, multiple regression, and ANOVA. The third edition also provides an introduction to linear mixed-effects modelling and programming with artificial intelligence. Extensive online material covers additional tests of interest to students and researchers, taking them step-by-step through carrying out these tests themselves.In this comprehensive and hands-on volume, Larson-Hall and Nicklin equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statistical research effectively using SPSS, JASP, and R, ideal for graduate students and researchers in SLA, social sciences, and applied linguistics.

Produktinformation

Utgivningsdatum:2027-02-26
Mått:178 x 254 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Second Language Acquisition Research Series
Antal sidor:622
Upplaga:3
Förlag:Taylor & Francis Ltd
ISBN:9781032466781

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Jenifer Larson-Hall is a Professor of Second Language Acquisition in the Faculty of Foreign Languages at the University of Kitakyushu, Japan. She is the author of books on second language acquisition and creator of five bilingual children. She is currently pursuing research on Language Attrition.Christopher Nicklin is Assistant Professor and Academic Coordinator of the Graduate School of Education at Temple University Japan. His research interests focus on the intersection between research methodology, psycholinguistics, and vocabulary acquisition.

Recensioner i media

"Written in an accessible, down-to-earth style, this book remains a true masterpiece for those who conduct statistical analyses in second language acquisition and related fields. This third edition is even more comprehensive, with the addition of JASP as an intuitive bridge to R, timely guidance on using AI for programming, and coverage of linear mixed-effects models. I recommend this book to both novice and experienced researchers as a trusted companion on their research journey".Atsushi Mizumoto, Kansai University, Japan

Innehållsförteckning

Part I: Statistical Ideas 1. Getting Started with the Software 2. Some Preliminaries to Understanding Statistics 3. Describing Data Numerically and Graphically and Assessing Assumptions for Parametric Tests 4. The "Old" Statistics: Fundamentals of Null-Hypothesis Significance Testing 5. The "New" Statistics: Confidence Intervals, Effect Sizes, and precision for Sample Size Determination 6. Using AI Tools to Learn About Statistics Part II: Statistical Tests 7. Finding Relationships Using Correlation: Age of Learning 8. Looking for Groups of Explanatory Variables through Multiple Regression: Predicting Important Factors in First-Grade Reading 9. Looking for Differences between Two Means with T-Tests: Think-Aloud Methodology and Teaching Sarcasm 10. Looking for Group Differences with a One-Way Analysis of Variance: Effects of Planning Time on Essay Writing 11. Looking for Group Differences with Factorial Analysis of Variance When There is More than One Independent Variable: Learning with Music and Pictures 12. Looking for Group Differences when the Same People Are Tested More than Once: Repeated-Measures Analysis of Variance with Wug Tests and Instruction on French Gender 13. Accoutning for Differences between People and Items with Linear Mixed-Effects Models