外語教育研究統計學教程 (英文) 桂敏 9787307233645 【台灣高等教育出版社】

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書名：外語教育研究統計學教程 (英文)
ISBN：9787307233645
出版社：武漢大學
著編譯者：桂敏
頁數：221頁
所在地：中國大陸 *此為代購商品
書號：1516461
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內容簡介

本教程系統地介紹外語教育研究中常用的統計分析方法。全書共分十二章。前三章介紹統計學的重要術語和概念、常用的描述性統計方法以及正態分佈。第四章講解抽樣分佈和置信區間。第五章至第九章運用外語教育研究中的實例，講解常用的推斷性統計分析方法，包括t檢驗、相關分析、回歸分析、卡方檢驗、方差分析等，並介紹如何運用SPSS統計分析軟體，進行每一種統計分析的操作步驟。第十章介紹功效分析（Power Analysis）。它是推斷性統計分析的必要組成部分。第十一章講解兩種非參數檢驗方法。最後一章以如何為自己的研究問題選擇合適的研究方法為導向，對全書內容進行總結。

目錄

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 10 Using 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 hoc multiple comparison tests
9 5 Effect size indexes
9 6 Summary
Chapter 10 Power analysis
10 1 Power and types of power analyses
10 2 Functions of power analyses
10 3 Ways to improve power
10 4 Using SPSS to conduct a post hoc 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 5 Using 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
Append
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