A guide to doing statistics in second language research using SPSS and R
Author(s)
Bibliographic Information
A guide to doing statistics in second language research using SPSS and R
(Second language acquisition research : theoretical and methodological issues / Susan M. Gass, Jacquelyn Schac[h]ter, series editors, . Monographs on research methodology)
Routledge, 2016
2nd ed
- : hbk
- : pbk
Available at 41 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references (p. [486]-496) and indexes
Description and Table of Contents
Description
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 statistical research, covering the most commonly used tests in second language research, including t-tests, correlation, and ANOVA. A robust accompanying website 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, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics.
For more information and materials, please visit www.routledge.com/cw/larson-hall.
Table of Contents
Part I: Statistical Ideas 1. Getting Started with the Software and Using the Computer for Experimental Details 2. Some Preliminaries to Understanding Statistics 3. Describing Data Numerically and Graphically and Assessing Assumptions for Parametric Tests 4. Changing the Way We Do Statistics: The New Statistics Part II: Statistical Tests 5. Choosing a Statistical Test 6. Finding Relationships Using Correlation: Age of Learning 7. Looking for Groups of Explanatory Variables through Multiple Regression: Predicting Important Factors in First-Grade Reading 8. Looking for Differences between Two Means with T-Tests: Think-Aloud Methodology and Teaching Sarcasm 9. Looking for Group Differences with a One-Way Analysis of Variance (ANOVA): Effects of Planning Time 10. Looking for Group Differences with Factorial Analysis of Variance (ANOVA) When There is More than One Independent Variable: Learning with Music 11. Looking for Group Differences when the Same People Are Tested More than Once: Repeated-Measures ANOVA with Wug Tests and Instruction on French Gender Appendix: Donig Things in R Glossary Bibliography
by "Nielsen BookData"