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外语教育研究统计学教程(英文)
作者:桂敏 主编 版次:1-1 开本:16 页数:221 千字数:293 装帧方式:平装
ISBN 978-7-307-23364-5 出版时间:2022-11-03 印刷时间:2022-11-03 定价:¥39.8元 浏览量: 购买图书
本教程系统地介绍外语教育研究中常用的统计分析方法。全书共分十二章。前三章介绍统计学的重要术语和概念、常用的描述性统计方法以及正态分布。第四章讲解抽样分布和置信区间。第五章至第九章运用外语教育研究中的实例,讲解常用的推断性统计分析方法,包括t检验、相关分析、回归分析、卡方检验、方差分析等,并介绍如何运用SPSS统计分析软件,进行每一种统计分析的操作步骤。第十章介绍功效分析(Power Analysis)。它是推断性统计分析的必要组成部分。第十一章讲解两种非参数检验方法。最后一章以如何为自己的研究问题选择合适的研究方法为导向,对全书内容进行总结。

Contents

Chapter 1 Introduction

1.1 Sample questions in foreign language education

1.2 Basic terms

1.3 Scales of measurement

1.4 Types of data .

1.5 Descriptive statistics and inferential statistics

1.6 Summary

 

Chapter 2 Examining data

2. 1 Frequency distributions

2.2 Measures of central tendency

2.3 Measures of variability

2.4 Using the SPSS software program to manage and examine a dataset

2.5 Summary

 

Chapter 3 Z scores and the normal distribution

3.1 The z score

3.2 Characteristics of z scores

3.3 Computation of z scores with SPSS

3.4 Empirical and theoretical frequency distributions

3.5 The normal distribution table

3.6 Summary

 

Chapter 4 Sampling distributions and confidence intervals

4.1 Sampling methods

4.2 The sampling distribution

4.3 Central Limit Theorem

4.4 Calculating the standard error of the sampling distribution of means

4.5 Calculating the proportion of sample means above or below a certain point

4.6 Confidence intervals about a population mean

4.7 The t distribution

4.8 Summary

 

Chapter 5 Hypothesis testing: One -sample designs

5.1 Procedure of the one -sample t test

5.2 The meaning of p

5.3 Effect size index

5.4 Use the SPSS software program to run the one-sample t test

5.5 Summary

 

Chapter 6 Hypothesis testing: Two-samples designs

6.1 Independent-samples designs and paired-samples designs

6.2 The t test for independent-samples designs

6.3 Assumptions of the independent-samples t test

6.4 Using SPSS to run the t-test for independent-samples designs

6.5 Calculation of effect sizes for independent-samples designs

6.6 The t test for related-samples designs

6.7 Using SPSS to run the t-test for related-samples designs

6.8 Calculation of effect sizes for two related-samples designs

6.9 Summary

 

Chapter 7 Correlation and regression

7.1 Correlation

7.2 The correlation coefficient

7.3 Effect sizes of correlation coefficients

7.4 Assumptions for the Pearson product-moment correlation (r)

7.5 Using SPSS to compute a Pearson correlation(r)

7.6 Using correlation coefficients to calculate coefficient of determination

7.7 Other kinds of correlation coefficients

7.8 Bivariate regression

7.9 A least squares regression line

7. 10Using SPSS for bivariate regression analysis

7.11 Multiple regression

7. 12 Using SPSS for multiple regression analysis

7.13 Summary

 

Chapter 8 Chi square tests

8.1 The chi square distribution

8.2 The use of chi square tests

8.3 Compute chi square values and examine the effect size

8.4 Chi square effect size coefficients

8.5 Using SPSS to conduct chi square tests of independence

8.6 Using SPSS to conduct chi square tests of goodness-of-fit

8.7 Summary

 

Chapter 9 One way analysis of variance ( ANOVA )

9.1 The rationale of ANOVA

9.2 The F distribution

9.3 Using SPSS to conduct ANOVA

9.4 Post hoe multiple comparison tests

9.5 Effect size indexes

9.6 Summary

 

Chapter 10 Power analysis

10. 1 Power and types of power analyses

10.2Functions of power analyses

10.3 Ways to improve power

10.4 Using SPSS to conduct a post hoe power analysis

10.5 Summary

 

Chapter 11 Two nonparametric tests

11.1 Comparison of nonparametric to parametric tests

11.2 The Mann-Whitney U test ....

11.3 Using SPSS to conduct Mann-Whitney U tests

11.4 The Wilcoxon matched-pairs signed-ranks test ......

11.5Using SPSS to conduct Wilcoxon matched-pairs signed-ranks tests

11.6 Summary

 

Chapter 12 Selecting appropriate statistical methods

12. 1 Selection of appropriate descriptive statistical methods

12.2 Selection of appropriate inferential statistical methods

 

Appendix A Answers to exercises

Appendix B |Quick reference guide to frequently asked questions

Appendix C Glossary

Appendix D The normal distribution table

Appendix E The T distribution table

Appendix F Critical values for the Fm statistic

Appendix G Critical values for Pearson product-moment correlation coefficients, r*

Appendix H Chi square distribution table'

Appendix I The F distribution table °

Appendix J Power tables

Appendix K Sample size tables

Appendix L Critical values for the Mann-Whitney U test"

Appendix M Critical values for the Wilcoxon matched-pairs signed-ranks T test"

 

References

桂敏,武汉大学外国语言文学学院副教授,1995年毕业于武汉大学英文系,获得学士学位。2004年毕业于美国得克萨斯大学奥斯汀分校外语教育专业,取得硕士学位; 2008年继续在得克萨斯大学奥斯汀分校学习,于2011年获得博士学位。2012年以来,为外国语言学及应用语言学专业研究生开设统计学及研究方法等课程。研究兴趣包括外语教育和语言测试。相关研究成果发表在System, Language Assessment Quarterly, Computer Assisted Language Learning, Language and Intercultural Communication, 以及Reading in a Foreign Language 等期刊上。