IBM Water System SPSS COMPLEX SAMPLES 19 Manual de usuario Pagina 216
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Chapter 21
Those who drive less frequently show greater support for the bill than those who drive more
frequently.
The coefficients for the variables gender and votelast, in addition to not being statistically
significant, appear to be small compared to other coefficients.
The design effects indicate that some of the standard errors computed for these parameter
estimates are larger than those you would obtain if you used a simple random sample, while
others are smaller. It is vitally important to incorporate the sampling design information in your
analysis because you might otherwise infer, for example, that the coefficient for the third level
of Age category, [agecat=3],issignificantly different from 0!
Classification
Figure 21-9
Categorical variable information
Given the observed data, the “null” model (that is, one without predictors) would classify all
customers into the modal group, Agree. Thus, the null model would be correct 27.3% of the time.
- IBM SPSS Complex Samples 19 1
- Technical support 3
- Customer Service 3
- Training Seminars 3
- Additional Publications 4
- Contents 5
- Part II: Examples 8
- 17 Complex Sample 9
- 18 Complex Samples Ratios 171 10
- Appendices 12
- A Sample Files 258 12
- B Notices 267 12
- Bibliography 269 12
- Index 271 12
- User’s Guide 13
- Procedures 15
- Plan Files 16
- Further Readings 17
- Creating a New Sample Plan 18
- Chapter 2 20
- Figure 2-2 20
- Sampling Wizard: Sample Size 24
- Define Unequal Sizes 25
- Figure 2-6 26
- Sampling Wizard: Plan Summary 27
- Figure 2-8 28
- Figure 2-9 29
- Sampling Wizard: Finish 30
- Analysis 33
- Creating a New Analysis Plan 34
- Chapter 3 36
- Figure 3-3 36
- Complex Samples Plan 42
- Complex Samples Options 46
- Chapter 7 52
- Figure 7-1 52
- Crosstabs d ialog box 52
- E Click Continue 59
- Select a dependent variable 60
- Optionally, you can: 60
- Figure 9-2 61
- Model dialog box 61
- Non-Nested Terms 70
- Chapter 10 74
- Figure 10-6 74
- CUSTOM subcommand) 77
- ODDSRATIOS subcommand) 77
- CRITERIA subcommand) 77
- SAVE subcommand) 77
- PRINT subcommand) 77
- Figure 11-7 85
- Define Event 91
- Predictors 92
- Subgroups 94
- Figure 12-6 95
- Statistics 96
- Hypothesis Te sts 99
- Chapter 12 102
- Figure 12-11 102
- Part II: 106
- Examples 106
- Using the Wizard 107
- Click Next 108
- Select Yes,addstage2now 111
- Chapter 13 114
- Figure 13-7 114
- 241972 as the value 115
- Click Finish 116
- Plan Summary 117
- Sampling Summary 117
- Sample Results 118
- Select Yes,addstage3now 126
- Figure 13-23 129
- first two stages of that plan 131
- file that you c reated 133
- 4231946 as the value 135
- SELECTION with CPS in 136
- Figure 13-39 145
- Figure 13-45 150
- Stage summary 150
- Related Procedures 153
- Complex Samples Analysis 154
- Preparation Wizard 154
- Preparing 157
- Related P 168
- Complex Samples Frequencies 169
- Click Continue 170
- Frequency Table 172
- Frequency by Subpopulation 172
- Complex Samples Descriptives 174
- Univariate Statistics 177
- Complex Samples Crosstabs 179
- Click Statis tics 181
- Crosstabulation 182
- Risk Estimate 183
- Complex Samples Ratios 185
- 1.3 as the test value 187
- Pivoted Ratios Table 188
- Running the Analysis 190
- Click Model 192
- Model Summary 195
- Tests of Model Effects 195
- Parameter Estimates 196
- Estimated Marginal Means 197
- Pseudo R-Squares 204
- Classification 205
- Odds Ratios 207
- Generalized Cumulative Model 218
- Figure 21-14 219
- Click Options 220
- Warnings 221
- Comparing Models 222
- Preparing the Data 224
- TE.DMY(30,6,2006) 225
- Select Days as the unit 229
- Click Define Event 232
- Click the Predictors tab 233
- Click the Statistics tab 234
- Sample Design Information 235
- Test of Proportional Hazards 236
- Click New 237
- Select t_age as a covariate 238
- Click OK 242
- Type 6 asthenumberofgroups 244
- 1 as the numeric expression 257
- Click the Plots tab 266
- Click the Options tab 267
- Pattern Values 270
- Log-Minus-Log Plot 271
- Sample Files 272
- Appendix 281
- Trademarks 282
- Bibliography 283
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