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

3. Auflage 2026
ISBN: 978-1-032-46678-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 622 Seiten, Format (B × H): 178 mm x 254 mm

Reihe: Second Language Acquisition Research Series

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.

Zielgruppe

Postgraduate, Professional Practice & Development, and Undergraduate Advanced

Autoren/Hrsg.

Larson-Hall, Jenifer

Nicklin, Christopher

Fachgebiete

• Geisteswissenschaften Sprachwissenschaft Sprachwissenschaften
• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden
• Sozialwissenschaften Pädagogik Pädagogik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

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

Über Autor(innen)

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.