IBM SPSS COMPLEX SAMPLES 19 Water System User Manual


 
273
Index
iterations
in Complex Samp
les Logistic Regression, 62
in Complex Samples Ordinal Regression, 72
least signicant difference
in Complex Samples, 49, 59, 69
in Complex Samples Cox Regression, 85
legal notices, 267
likelihood convergence
in Complex Samples Logistic Regression, 62
in Complex Samples Ordinal Regression, 72
log-minus-log plot
in Co mplex Samples Cox Regression, 257
marginal means
in GLM Univariate, 183
martingale residuals
in Complex Samples Cox Regression, 86
mean
in Co mplex Samples Descriptives, 34, 163
measure of size
in Sampling Wizard, 8
missing values
in Complex Samples, 31, 40
in Complex Samples Descriptives, 35
in Complex Samples General Line ar Model, 52
in Complex Samples Logistic Regression, 62
in Complex Samples Ordinal Regression, 72
in Complex Samples Ratios, 44
Murthy’s sampling method
in Sampling Wizard, 8
Newton-Raphso n method
in Complex Samples Ordinal Regression, 72
odds ratios
in Complex Samples Crosstabs, 39, 165
in Complex Samples Logistic Regression, 60, 193
in Complex Samples Ordinal Re gression, 70, 203
parameter convergence
in Complex Samples Logistic Regression, 62
in Complex Samples Ordinal Regression, 72
parameter estimates
in Complex Samples Cox Reg
ression, 82
in Complex Samples General Linear Model, 48, 182
in Complex Samples Logistic Regression, 57, 192
in Complex Samples Ordinal Re gression, 68, 201
piecewise-constant, time-dependent predictors
in Co mplex Samples Cox Regression, 226
plan le, 2
polynomial contrasts
in Complex Samples General Line ar Model, 50
population size
in C omplex Samples Crosstabs, 3 9
in Complex Samples Descriptives, 34
in Complex Samp
les Freque ncies, 30, 158
in Complex Samples Ratios, 43
in Sampling Wizard, 12
PPS sampling
in Sampling Wiz ard, 8
predicted categories
in Com p lex Samp
les Log istic Regression, 61
in Com plex Samples Ordinal Regression, 71
predicted probability
in Com plex Samples Logistic Regression, 61
in Com plex Samples Ordinal Regression, 71
predicted values
in Complex Sampl
es General Linear Model, 51
predictor patterns
in Complex Samples Cox Regression, 256
proportional hazards test
in Complex Samples Cox Regression, 222
pseudo R
2
statistics
in Complex Sampl
es Logistic Re gression, 57, 190
in Complex Sample s Ordinal Regression, 68, 200, 208
public data
in Analysis Preparation Wizard, 1 4 0
in Complex S amples Descriptives, 160
R
2
statistic
in Complex Sa mples General Linear Model, 48, 181
ratios
in Complex Samples Ratios, 174
reference category
in Complex Samples General Linear Model, 50
in Com plex Samples Logistic Regression, 55
relative risk
in Complex Samples Crosstabs, 39, 165, 169–170
repeated contrasts
in Complex Samples General Linear Model, 50
residuals
in Complex Samples Crosstabs, 39
in Complex Samples General Linear Model, 51
response probabilities
in Com plex Samples Ordinal Regression, 66
risk difference
in Complex Samples Crosstabs, 39
row percentages
in Complex Samples Crosstabs, 39
Sampford’s sampling meth
od
in Sampling Wiz ard, 8
sample design information
in Complex Samples Cox Regression, 82, 221, 254
sample les
location, 258
sample plan, 4
sample proportion
in Sampling Wizard, 12
sample size
in Sampling Wizard, 10 , 12