|
|
ix | |
Preface |
|
xiii | |
Getting Started |
|
1 | (4) |
|
|
2 | (2) |
|
SPSS Full and Grad Pack Versions: What Is the Difference? |
|
|
4 | (1) |
|
Watch Screencasts from SAGE Edge |
|
|
4 | (1) |
|
|
5 | (16) |
|
|
5 | (3) |
|
Setting Options for Variable Lists |
|
|
8 | (1) |
|
A Closer Look: Variables Utility |
|
|
9 | (1) |
|
|
10 | (1) |
|
A Closer Look: Keyboard Shortcuts |
|
|
11 | (2) |
|
Selecting, Printing, and Saving Output |
|
|
13 | (1) |
|
How to Format an SPSS Table |
|
|
14 | (2) |
|
Saving Commands in Syntax Files |
|
|
16 | (1) |
|
|
17 | (2) |
|
|
19 | (2) |
|
|
21 | (24) |
|
How SPSS Stores Information about Variables |
|
|
21 | (1) |
|
Interpreting Measures of Central Tendency and Variation |
|
|
22 | (1) |
|
Describing Nominal Variables |
|
|
23 | (2) |
|
A Closer Look: Weighting the GSS and NES Datasets |
|
|
25 | (1) |
|
Describing Ordinal Variables |
|
|
26 | (3) |
|
A Closer Look: Analyzing Two Variables at Once |
|
|
29 | (1) |
|
Using the Chart Editor to Modify Graphics |
|
|
29 | (2) |
|
Describing Interval Variables |
|
|
31 | (5) |
|
Obtaining Case-level Information with Case Summaries |
|
|
36 | (3) |
|
|
39 | (6) |
|
|
45 | (26) |
|
Creating Indicator Variables |
|
|
46 | (4) |
|
A Closer Look: Creating Multiple Dummy Variables |
|
|
50 | (1) |
|
Working with Variable Labels |
|
|
51 | (1) |
|
Recoding Interval-level Variables into Simplified Categories |
|
|
52 | (3) |
|
Simplifying an Internal-level Variable with Visual Binning |
|
|
55 | (4) |
|
Centering or Standardizing a Numeric Variable |
|
|
59 | (3) |
|
Using Compute to Create an Additive Index |
|
|
62 | (5) |
|
|
67 | (4) |
|
|
71 | (24) |
|
Cross-tabulation Analysis |
|
|
71 | (3) |
|
Visualizing Cross-tabulation Analysis with a Bar Chart |
|
|
74 | (5) |
|
|
79 | (2) |
|
Visualizing Mean Comparison Analysis with a Line Chart |
|
|
81 | (2) |
|
Creating a Box Plot to Make Comparisons |
|
|
83 | (4) |
|
|
87 | (8) |
|
5 Making Controlled Comparisons |
|
|
95 | (28) |
|
Cross-tabulation Analysis with a Control Variable |
|
|
95 | (6) |
|
Graphing Controlled Comparisons with Categorical Dependent Variables |
|
|
101 | (3) |
|
Mean Comparison Analysis with a Control Variable |
|
|
104 | (7) |
|
Example of an Interaction Relationship |
|
|
106 | (3) |
|
Example of an Additive Relationship |
|
|
109 | (2) |
|
Visualizing Controlled Mean Comparisons |
|
|
111 | (4) |
|
|
115 | (8) |
|
6 Making Inferences about Sample Means |
|
|
123 | (22) |
|
Finding the 95% Confidence Interval of a Sample Mean |
|
|
124 | (1) |
|
A Closer Look: Treating Census as a Sample |
|
|
125 | (3) |
|
Testing a Hypothetical Claim about the Population Mean |
|
|
128 | (3) |
|
Inferences about the Difference between Two Sample Means |
|
|
131 | (3) |
|
Visualizing Mean Comparisons with Error Bars |
|
|
134 | (2) |
|
Making Inferences about Sample Proportions |
|
|
136 | (5) |
|
|
141 | (4) |
|
7 Chi-square and Measures of Association |
|
|
145 | (24) |
|
Analyzing an Ordinal-level Relationship |
|
|
146 | (4) |
|
A Closer Look: Reporting and Interpreting Results |
|
|
150 | (1) |
|
Analyzing an Ordinal-level Relationship with a Control Variable |
|
|
151 | (4) |
|
Analyzing a Nominal-level Relationship |
|
|
155 | (3) |
|
Analyzing a Nominal-level Relationship with a Control Variable |
|
|
158 | (5) |
|
|
163 | (6) |
|
8 Correlation and Linear Regression |
|
|
169 | (22) |
|
|
170 | (2) |
|
|
172 | (3) |
|
A Closer Look: R-Squared and Adjusted R-Squared: What's the Difference? |
|
|
175 | (1) |
|
Creating Scatterplots for Bivariate Regression Analysis |
|
|
176 | (4) |
|
|
180 | (2) |
|
A Closer Look: Reporting Regression Results in Tables |
|
|
182 | (1) |
|
Visualizing Multiple Regression Analysis with Bubble Plots |
|
|
183 | (2) |
|
|
185 | (6) |
|
9 Dummy Variables and Interaction Effects |
|
|
191 | (22) |
|
Regression with Multiple Dummy Variables |
|
|
191 | (6) |
|
A Closer Look: Changing the Reference Category |
|
|
197 | (1) |
|
Interaction Effects in Multiple Regression |
|
|
198 | (5) |
|
A Closer Look: What Are Standardized Regression Coefficients? |
|
|
203 | (1) |
|
Graphing Linear Prediction Lines for Interaction Relationships |
|
|
204 | (3) |
|
|
207 | (6) |
|
|
213 | (32) |
|
Thinking about Odds, Logged Odds, and Probabilities |
|
|
213 | (2) |
|
Estimating Logistic Regression Models |
|
|
215 | (6) |
|
Logistic Regression with Multiple Independent Variables |
|
|
221 | (3) |
|
Graphing Predicted Probabilities with One Independent Variable |
|
|
224 | (4) |
|
Graphing Predicted Probabilities with Multiple Independent Variables |
|
|
228 | (11) |
|
Marginal Effects at the Means |
|
|
229 | (4) |
|
Marginal Effects at Representative Values |
|
|
233 | (6) |
|
|
239 | (6) |
|
11 Doing Your Own Political Analysis |
|
|
245 | (16) |
|
|
245 | (4) |
|
Political Knowledge and Interest |
|
|
246 | (1) |
|
Self-Interest and Policy Preferences |
|
|
246 | (1) |
|
Economic Performance and Election Outcomes |
|
|
247 | (1) |
|
Electoral Turnout in Comparative Perspective |
|
|
247 | (1) |
|
Interviewer Effects on Public Opinion Surveys |
|
|
248 | (1) |
|
|
248 | (1) |
|
|
249 | (1) |
|
|
249 | (5) |
|
|
249 | (1) |
|
Other Supported Data Types |
|
|
250 | (1) |
|
|
250 | (4) |
|
|
254 | (1) |
|
|
254 | (5) |
|
|
257 | (1) |
|
|
257 | (1) |
|
Data, Hypotheses, and Analysis |
|
|
258 | (1) |
|
Conclusions and Implications |
|
|
258 | (1) |
|
|
259 | (2) |
Appendix, Table A-1 Variables in the GSS Dataset in Alphabetical Order |
|
261 | (7) |
Appendix, Table A-2 Variables in the NES Dataset in Alphabetical Order |
|
268 | (4) |
Appendix, Table A-3 Variables in the States Dataset by Topic |
|
272 | (6) |
Appendix, Table A-4 Variables in the World Dataset by Topic |
|
278 | |