Index_C

C

Canonical correlation, 154, 158

Cases

concordant, 77 “78

definition of, 18

discordant, 78

tied, 78 “79, 120

valid, 22

Causal models, 176 “180

CDF, see Cumulative distribution function (CDF)

Cells , 34, 236 “237

Central Limit Theorem (CLT), 45, 47, 266 “267

Central tendency, 30, 185 “186

Centroid, 130

CFI, 164

Characteristic root, 134

Characteristic vector, 134

Charts, see Plots

Chi-square

fit measure, 112 “114, 160 “161

in hypothesis-testing process, 65

likelihood -ratio, 160 “161

for measures of association, 73 “78, 81

in Monte Carlo simulation, 327

noncentrality measure, 161 “162

normed, 165

sample size , 161

Classification analysis, 109, 155 “156, 266 “267

CLT, 45, 47, 266 “267

Cluster analysis, 109, 155 “156, 266 “267

Cochran Q test, 115

Coding schemes, 16 “24

Coefficients

beta, 146

contingency, 75

correlation, see Correlation

eta, 80

normalized, 75

Pearson's r, 79 “80, 84 “88, 126 “127

phi, 75

Spearman rank, 127 “128

uncertainty, 80

Coincident indicator, 178 “179

Combinations, 226, 230

Comparative fit index (CFI), 164

Complementary events, 213 “214

Complementary set, 198

Concordant cases, 77 “78

Conditional probability, 209 “210

Confidence interval

as cumulative probability, 249

definition of, 48 “49

in regression, 96

size of, 51

Confirmatory factor analysis, 157

Conformability, 290

Conjoint analysis, 153 “154

Constant-elasticity multiplicative model, 178

Contingency coefficient, 75

Contingency table, 113

Continuity correction, 264 “265

Continuous distribution, 247

Continuous probability, 193

Continuous random variables , 245 “247

Control group , 13

Control variable, 83

Corner point, 299 “300

Correlation

assumptions for, 87

bivariate, 84

canonical, 154, 158

vs. chi-square test, 114

vs. covariance, 83 “84

cross-validation index for fit, 163

definition of, 84 “87

example of, 292 “293

Galton's rank order, 127

for linear dependence, 293

for measurement error check, 98

of multiple coefficients, 88 “89

one-tailed tests, 87

Pearson's r, 79 “80, 84 “88, 126 “127

in regression, 91 “97

RMSR for fit, 162

significance level, 87

spurious , 180

techniques for, 125 “126

two-tailed tests, 87

Correlogram, 172

Counting rules, 225 “226

Covariance

Box's M test, 142

cross-validation index for fit, 163

definition of, 83 “84

RMSR for fit, 162

Covariance structure analysis, 157

Cramer's V, 75

Cross-classification table, 34 “35, 73 “74

Cross-tabulation table, 34 “35, 73 “74

Cross-validation index, 162 “163

Cumulative distribution function (CDF)

vs. cumulative frequency function, 190 “191

definition of, 191 “192

discrete, 240 “243

in Kolmogorov-Smirnov test, 116

for normal distribution, 254 “259

of random variables, 245 “251

Cumulative frequency function, 190 “191