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Larson-Hall / Nicklin

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

Medium: Buch
ISBN: 978-1-032-49211-7
Verlag: Taylor & Francis Ltd
Erscheinungstermin: 05.03.2027
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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.

Produkteigenschaften

  • Artikelnummer: 9781032492117
  • Medium: Buch
  • ISBN: 978-1-032-49211-7
  • Verlag: Taylor & Francis Ltd
  • Erscheinungstermin: 05.03.2027
  • Sprache(n): Englisch
  • Auflage: 3. Auflage 2027
  • Serie: Second Language Acquisition Research Series
  • Produktform: Gebunden
  • Seiten: 622
  • Format (B x H): 178 x 254 mm
  • Ausgabetyp: Kein, Unbekannt
  • Vorauflage: 978-1-138-02456-4

Themen

Autoren/Hrsg.

Autoren

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