【SAGE出品】Statistical Methods for Practice and Research

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收藏 2013-03-10

书名：Statistical Methods for Practice and Research: A Guide to Data Analysis Using SPSS（2nd Edition）
作者：Ajai S Gaur, Sanjaya S Gaur
出版商：SAGE Publications
出版年：2009-4
页数： 172
ISBN： 8132101006
定价：$ 37.29

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Contents

Preface 11
Acknowledgements 13
1. Introduction to SPSS 15
1.1 Starting SPSS 15
1.2 SPSS Main Menus 16
1.3 Working with the Data Editor 18
1.4 SPSS Viewer 22
1.5 Importing and Exporting Data 24
2. Basic Statistical Concepts 28
2.1 Research in Behavioral Sciences 28
2.1.1 Qualitative Research 28
2.1.2 Quantitative Research 29
2.2 Types of Variables 30
2.2.1 Qualitative Variables 30
2.2.2 Quantitative Variables 31
2.3 Reliability and Validity 31
2.3.1 Assessing Reliability 32
2.3.2 Assessing Validity 32
2.4 Hypothesis Testing 33
2.4.1 Type I and Type II Errors 35
2.4.2 Significance Level ( p- value) 35
2.4.3 One-Tailed and Two-Tailed Tests 35
3. Summarizing Data: Descriptive Statistics 37
3.1 Basic Concepts 37
3.1.1 Measures of Central Tendency 38
3.1.2 Measures of Variability 38
3.1.3 Percentiles, Quartiles, and Interquartile Range 39
3.1.4 Skewness 39
3.1.5 Kurtosis 40
3.2 Using SPSS 40
3.2.1 Descriptive Statistics 41
3.2.2 Frequencies 44
3.2.3 Tables 49
4. Comparing Means: One or Two Samples  t- Tests 52
4.1 Basic Concepts 52
4.1.1 t- test and  z -test 52
4.1.2 One Sample t -test 53
4.1.3 Independent Samples  t -test 53
4.1.4 Dependent (Paired) Samples  t-test 54
4.2 Using SPSS 54
4.2.1 One Sample t -test 54
4.2.2 Independent Samples  t -test 58
4.2.3 Dependent Samples t-test 63
5. Comparing Means: Analysis of Variance 67
5.1 Basic Concepts 67
5.1.1 ANOVA Procedure 67
5.1.2 Factors and Covariates 68
5.1.3 Between, Within, and Mixed (Between-Within) Designs 69
5.1.4 Main Effects and Interactions 69
5.1.5 Post-Hoc Multiple Comparisons 70
5.1.6 Contrast Analysis 70
5.2 Using SPSS 70
5.2.1 One-Way Between-Groups ANOVA 71
5.2.2 Unplanned and Planned Comparisons 78
5.2.3 Two-Way Between-Groups ANOVA 85
6. Chi-Square Test of Independence for Discrete Data 91
6.1 Basic Concepts 91
6.1.1 Chi-Square Test of Independence 92
6.1.2 Contingency Tables 93
6.2 Using SPSS 93
7.1 Basic Concepts 99
7.1.1 Correlation Coefficient 99
7.1.2 Nature of Variables 100
7.1.3 Bivariate/Partial Correlation 100
7.2 Using SPSS 101
7.2.1 Bivariate Correlation 103
7.2.2 Partial Correlation 105
8. Multiple Regression 108
8.1 Basic Concepts 108
8.1.1 Regression Coefficient 108
8.1.2 R Values 109
8.1.3 Design Issues 109
8.1.4 Multiple Regression Types 110
8.2 Using SPSS 110
8.2.1 Standard Multiple Regression 111
8.2.2 Hierarchical Regression 117
9. Logistic Regression 121
9.1 Basic Concepts 121
9.1.1 Logistic Regression Coefficients 121
9.1.2 Fit Indices 122
9.1.3 Design Issues 122
9.1.4 Logistic Regression Types 122
9.2 Using SPSS 123
10. Data Reduction and Scale Reliability: Factor Analysis 131
10.1 Basic Concepts 131
10.1.1 Factor and Component 131
10.1.2 Exploratory and Confirmatory Factor Analysis 132
10.1.3 Extraction 132
10.1.4 Factor Loadings 132
10.1.5 Rotation 133
10.1.6 Communalities 133
10.1.7 Eigenvalue and Scree Plot 133
10.1.8 Scale Reliability 134
10.1.9 Sample Size Considerations 134
10.2 Using SPSS 134
10.2.1 Factor Analysis 134
10.2.2 Scale Reliability 145
11. Advanced Data Handling in SPSS 152
11.1 Sorting Cases 152
11.2 Merging Files 154
11.3 Aggregating Cases 157
11.4 Splitting Files 160
11.5 Selecting Cases 162
11.6 Recoding Values 164
11.7 Computing New Variables 168
Bibliography 170
About the Authors 171