Using IBM SPSS statistics an interactive hands-on approach
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| 020 | |a 9781483383576 |9 978-1-4833-8357-6 | ||
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| 100 | 1 | |a Aldrich, James O. |e Verfasser |0 (DE-588)1054631115 |4 aut | |
| 245 | 1 | 0 | |a Using IBM SPSS statistics |b an interactive hands-on approach |c James O. Aldrich, James B. Cunningham |
| 250 | |a Second edition | ||
| 264 | 1 | |a Los Angeles |b SAGE |c 2016 | |
| 264 | 4 | |c © 2016 | |
| 300 | |a XXIII, 446 Seiten |b Illustrationen | ||
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| 338 | |b nc |2 rdacarrier | ||
| 500 | |a 1. Aufl. u.d.T.: Cunningham, James B.: Using SPSS | ||
| 650 | 0 | 7 | |a IBM SPSS Statistics 22 |0 (DE-588)1047228858 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a IBM SPSS Statistics 22 |0 (DE-588)1047228858 |D s |
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| 700 | 1 | |a Cunningham, James B. |e Verfasser |4 aut | |
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Datensatz im Suchindex
| _version_ | 1819678064697671680 |
|---|---|
| adam_text | Titel: Using IBM SPSS statistics
Autor: Aldrich, James O
Jahr: 2016
Detailed Contents
Preface xv
Acknowledgments xxi
About the Authors xxiii
Chapter 1. First Encounters 1
1.1 Introduction and Objectives 1
1.2 Entering, Analyzing, and Graphing Data 2
1.3 Summary 6
1.4 Review Exercises 7
Chapter 2. Navigating in SPSS 8
2.1 Introduction and Objectives 8
2.2 SPSS Variable View Screen 9
2.3 SPSS Data View Screen 9
2.4 SPSS Main Menu 11
2.5 Data Editor Toolbar 11
2.6 Variable View Screen: A Closer Look 12
2.7 Summary 15
2.8 Review Exercises 16
Chapter 3. Getting Data In and Out of SPSS 17
3.1 Introduction and Objectives 17
3.2 Typing Data Using the Computer Keyboard 18
3.3 Saving Your SPSS Data Files 18
3.4 Saving Your SPSS Output Files 19
3.5 Opening Your Saved SPSS Files 21
3.6 Opening SPSS Sample Files 22
3.7 Copying and Pasting Data to Other Applications 23
3.8 Importing Files From Other Applications 23
3.9 Exporting SPSS Files to Other Applications 24
3.10 Summary 24
3.11 Review Exercises 25
Chapter 4. Levels of Measurement 26
4.1 Introduction and Objectives 26
4.2 Variable View Screen: Measure Column 27
4.3 Variables Measured at the Nominal Level 29
4.4 Variables Measured at the Ordinal Level 30
4.5 Variables Measured at the Scale Level 31
4.6 Using SPSS to Suggest Variable Measurement Levels 32
4.7 Summary 36
4.8 Review Exercises 36
Chapter 5. Entering Variables and Data and Validating Data 38
5.1 Introduction and Objectives 38
5.2 Entering Variables and Assigning Attributes (Properties) 39
5.3 Entering Data for Each Variable 45
5.4 Validating Data for Databases 45
Validation of Nominal and Ordinal Data 47
Validation of Scale Data 49
5.5 Summary 51
5.6 Review Exercises 51
Chapter 6. Working With Data and Variables 53
6.1 Introduction and Objectives 53
6.2 Computing a New Variable 54
6.3 Recoding Scale Data Into a String Variable 56
6.4 Data Transformation 59
6.5 Split Cases for Independent Analysis 60
6.6 Inserting New Variables and Cases Into Existing Databases 6l
6.7 Data View Page: Copy, Cut, and Paste Procedures 62
6.8 Summary 63
6.9 Review Exercises 64
Chapter 7. Using the SPSS Help Menu 65
7.1 Introduction and Objectives 65
7.2 Help Options 66
7.3 Using Help Topics 67
7.4 Using the Help Tutorial 69
7.5 Using Help Case Studies 70
7.6 Getting Help When Using Analyze on the Main Menu 71
7.7 Summary 72
7.8 Review Exercises 72
Chapter 8. Creating Graphs for Nominal and/or Ordinal Data 73
8.1 Introduction and Objectives 73
8.2 A Brief Introduction to the Chart Builder 74
8.3 Using the Chart Builder to Build a Simple 3-D Graph 76
8.4 Building a Population Pyramid 82
8.5 Summary 86
8.6 Review Exercises 86
Chapter 9. Graphs for Continuous Data 88
9-1 Introduction and Objectives 88
9-2 Creating a Histogram 89
9.3 Creating a Boxplot 91
9.4 Creating a Panel Graph 95
9.5 Summary 98
9.6 Review Exercises 99
Chapter 10. Printing Data View, Variable
View, and Output Viewer Screens 100
10.1 Introduction and Objectives 100
10.2 Printing Data From the Variable View Screen 101
Printing a Selected Portion of Your Data 103
10.3 Printing Variable Information From the Output Viewer 104
10.4 Printing Tables From the Output Viewer 105
10.5 Summary 108
10.6 Review Exercises 108
Chapter 11. Basic Descriptive Statistics 110
11.1 Introduction and Objectives 110
11.2 Measures of Central Tendency 111
The Mode 112
The Median 114
The Mean 117
11.3 Measures of Dispersion 118
Range, Mean, Standard Deviation, and Variance 120
The Shape of the Distribution (Skewness) 120
The Shape of the Distribution (Kurtosis) 121
11.4 The Big Question: Are the Data Normally Distributed? 122
11.5 Descriptive Statistics for the Class Survey 125
11.6 Summary 126
11.7 Review Exercises 126
Chapter 12. One-Sample t Test and a Binomial Test of Equality 127
12.1 Introduction and Objectives 127
12.2 Research Scenario and Test Selection 128
12.3 Research Question and Null Hypothesis 129
12.4 Data Input, Analysis, and Interpretation of Output 129
A Word About Confidence Intervals 132
12.5 Nonparametric Test: The Binomial Test of Equality 133
12.6 Summary 137
12.7 Review Exercises 137
Chapter 13. Independent-Samples
t Test and Mann-Whitney C/Test 139
13.1 Introduction and Objectives 139
13-2 Research Scenario and Test Selection 140
13-3 Research Question and Null Hypothesis 141
13-4 Data Input, Analysis, and Interpretation of Output 142
13-5 Nonparametric Test: Mann-Whitney U Test 146
13-6 Summary 148
13-7 Review Exercises 148
Chapter 14. Paired-Samples t Test and Wilcoxon Test 150
14.1 Introduction and Objectives 150
14.2 Research Scenario and Test Selection 152
14.3 Research Question and Null Hypothesis 152
14.4 Data Input, Analysis, and Interpretation of Output 153
14.5 Nonparametric Test: Wilcoxon Signed-Ranks Test 156
14.6 Summary 158
14.7 Review Exercises 159
Chapter 15. One-Way ANOVA and Kruskal-Wallis Test 161
15.1 Introduction and Objectives 161
15.2 Research Scenario and Test Selection 163
15.3 Research Question and Null Hypothesis 164
15.4 Data Input, Analysis, and Interpretation of Output 164
15.5 Nonparametric Test: Kruskal-Wallis Test 170
15.6 Summary 173
15.7 Review Exercises 174
Chapter 16. Two-Way (Factorial) ANOVA 176
16.1 Introduction and Objectives 176
16.2 Research Scenario and Test Selection 178
16.3 Research Question and Null Hypothesis 179
16.4 Data Input, Analysis, and Interpretation of Output 180
16.5 Summary 186
16.6 Review Exercises 186
Chapter 17. One-Way ANOVA Repeated
Measures Test and Friedman Test 189
17.1 Introduction and Objectives 189
17.2 Research Scenario and Test Selection 190
17.3 Research Question and Null Hypothesis 191
17.4 Data Input, Analysis, and Interpretation of Output 192
17.5 Nonparametric Test: Friedman Test 198
17.6 Summary 202
17.7 Review Exercises 202
Chapter 18. Analysis of Covariance 204
18.1 Introduction and Objectives 204
18.2 Research Scenario and Test Selection 205
18.3 Research Question and Null Hypothesis 206
18.4 Data Input, Analysis, and Interpretation of Output 206
Testing for the Homogeneity of Regression Slopes 208
Main Analysis for ANCOVA 211
18.5 Summary 216
18.6 Review Exercises 216
Chapter 19- Pearson s Correlation and Spearman s Correlation 219
I9.I Introduction and Objectives 219
Significance Test 221
192 Research Scenario and Test Selection 222
193 Research Question and Null Hypothesis 223
19.4 Data Input, Analysis, and Interpretation of Output 223
Check for a Linear Relationship Between the Variables 223
Check Both Variables for Normality 225
Calculation of Pearson s Correlation
Coefficient and Test of Significance 227
19.5 Nonparametric Test: Spearman s Correlation Coefficient 228
19.6 Summary 230
19-7 Review Exercises 230
Chapter 20. Single Linear Regression 232
20.1 Introduction and Objectives 232
20.2 Research Scenario and Test Selection 234
20.3 Research Question and Null Hypothesis 234
20.4 Data Input 235
20.5 Data Assumptions (Normality) 236
20.6 Regression and Prediction 238
20.7 Interpretation of Output (Data Assumptions) 240
20.8 Interpretation of Output (Regression and Prediction) 242
Prediction 243
20.9 Research Question Answered 246
20.10 Summary 247
20.11 Review Exercises 247
Chapter 21. Multiple Linear Regression 250
21.1 Introduction and Objectives 250
21.2 Research Scenario and Test Selection 251
21.3 Research Question and Null Hypothesis 252
21.4 Data Input 252
21.5 Data Assumptions (Normality) 254
21.6 Regression and Prediction 257
21.7 Interpretation of Output (Data Assumptions) 259
21.8 Interpretation of Output (Regression and Prediction) 261
Prediction 262
21.9 Research Question Answered 265
21.10 Summary 265
21.11 Review Exercises 266
Chapter 22. Logistic Regression 269
22.1 Introduction and Objectives 269
22.2 Research Scenario and Test Selection 271
22.3 Research Question and Null Hypothesis 272
22.4 Data Input, Analysis, and Interpretation of Output 272
22.5 Summary 282
22.6 Review Exercises 282
Chapter 23. Factor Analysis 286
23.1 Introduction and Objectives 286
23.2 Research Scenario and Test Selection 289
23.3 Research Question and Null Hypothesis 289
23.4 Data Input, Analysis, and Interpretation of Output 289
23.5 Summary 298
23.6 Review Exercises 298
Chapter 24. Chi-Square Goodness of Fit 300
24.1 Introduction and Objectives 300
24.2 Research Scenario and Test Selection: Legacy Dialogs 302
24.3 Research Question and Null Hypothesis: Legacy Dialogs 302
24.4 Data Input, Analysis, and
Interpretation of Output: Legacy Dialogs 303
24.5 Research Scenario and Test Selection: One Sample 305
24.6 Research Question and Null Hypothesis: One Sample 306
24.7 Data Input, Analysis, and Interpretation
of Output: One Sample 306
24.8 Summary 308
24.9 Review Exercises 308
Chapter 25. Chi-Square Test of Independence 310
25.1 Introduction and Objectives 310
252 Research Scenario and Test Selection: Summarized Data 311
25-3 Research Question and Null Hypothesis: Summarized Data 311
25.4 Data Input, Analysis, and
Interpretation of Output: Summarized Data 312
25-5 Research Scenario and Test Selection: Raw Data 315
25.6 Research Question and Null Hypothesis: Raw Data 316
25.7 Data Input, Analysis, and
Interpretation of Output: Raw Data 316
25.8 Summary 320
25.9 Review Exercises 320
Appendix A. Class Survey Database (Entered in Chapter 5) 322
Table A. 1 Variables and Attributes for class_surveyl .sav 322
Table A. 2 Data for class_surveyl .sav 323
Appendix B. Basic Inferential Statistics 325
B.l Introduction 325
B.2 Populations and Samples 326
B.3 Sampling Procedures 326
B.4 Hypothesis Testing 327
B.5 Parametric Statistical Tests 328
B.6 Nonparametric Statistical Tests 329
B.7 Data Transformation 330
B.8 Type I and Type II Errors 330
B.9 Tests of Significance 330
B.10 Practical Significance Versus Statistical Significance 331
B.ll One- and Two-Tailed Tests 331
B.12 Degrees of Freedom 332
Appendix C. Answers to Review Exercises 333
Index 439
|
| any_adam_object | 1 |
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| spellingShingle | Aldrich, James O. Cunningham, James B. Using IBM SPSS statistics an interactive hands-on approach IBM SPSS Statistics 22 (DE-588)1047228858 gnd |
| subject_GND | (DE-588)1047228858 |
| title | Using IBM SPSS statistics an interactive hands-on approach |
| title_auth | Using IBM SPSS statistics an interactive hands-on approach |
| title_exact_search | Using IBM SPSS statistics an interactive hands-on approach |
| title_full | Using IBM SPSS statistics an interactive hands-on approach James O. Aldrich, James B. Cunningham |
| title_fullStr | Using IBM SPSS statistics an interactive hands-on approach James O. Aldrich, James B. Cunningham |
| title_full_unstemmed | Using IBM SPSS statistics an interactive hands-on approach James O. Aldrich, James B. Cunningham |
| title_short | Using IBM SPSS statistics |
| title_sort | using ibm spss statistics an interactive hands on approach |
| title_sub | an interactive hands-on approach |
| topic | IBM SPSS Statistics 22 (DE-588)1047228858 gnd |
| topic_facet | IBM SPSS Statistics 22 |
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