|
|
 |
| Àâòîðèçàöèÿ |
|
|
|
| Ïîèñê ïî óêàçàòåëÿì |
|
|
|
|
|
|
|
 |
|
|
|
| Harris R.J. — A primer of multivariate statistic |
|
|
|
| Ïðåäìåòíûé óêàçàòåëü |
Optimization,  and 22 177
Optimization, calculus and 50 502—503 541
Optimization, canonical weights and 35 268—269
Optimization, chance factors and 160—161 165
Optimization, criteria for 12 444
Optimization, discriminant function and 253
Optimization, Fratio and 552—553
Optimization, Manova and 22 25 219—220
Optimization, matrix calculus and 502—503 541
Optimization, minres method and 43
Optimization, multiple regression and 48—54
Optimization, of polynomial functions 482—486
Optimization, PCA and 34 319—320
Optimization, with constraints 485—486
Ordinal scale 444—449
Organismic variables 76
Origin, change of 175
Orthogonality 320 324—327 333—334 353t 355 373 378—381
Orthogonality, correlation and 320 327 378—381
Orthogonality, of PCs 320 324—327 333 351 378—381
Orthogonality, rotations and 334 378—381 408
Orthogonality, transformations and 356
Ottaway, S.A. 217
Outcome variables / measures 11—12 15 16t 21—22 25 27—28 31—32 35 38—40 55 215t 248t.
Outcome variables / measures, competitive outcomes 210
Outcome variables / measures, games and 215t 248t
Outcome variables / measures, linearly related 165—170
Outcome variables / measures, outcomes-allocation condition 111 156 162 177
Outcome variables / measures, vector of 24 25 27
Outcome-allocation conditions 162 177 179 181
Outliers 78 121—122
Outliers, elimination of 121—122
Outliers, robustness and 121—122
Overall, J.E. 115 235 479
Overlap, of variables 153
p values, p as indication of Pr (successful exact replication) 4
p values, p/2 as upper bound on Pr (reject  in wrong direction) 2
p values, vs. confidence intervals 2
Packages See specific programs techniques
Pain 256
Papageorgis, D. 243
Parallelism 174—175 177 181 185 189 207 224—225 227—228 252.
Parallelism, hypothesis of 174 224—225
Parallelism, test for 177—180 145 224 252
Parameters, irrelevant 72—74 542
Parametric statistics 25n
Paranoia 226
Parkinson, A. 227
Partitioned-U procedure 234—237 278 304
Partitioned-U procedure, robustness of 232
Partitioning 214 234—237 328 333—334 339
Partitioning, additive 80
Partitioning, lambda analysis and 234—237 418
Partitioning, of matrices 503—506
Partitioning, partitioned-U procedure 234—237 278 304
Partitioning, path analysis / SEM and 478
Partitioning, summary table for 67
PASCAL computer language 390
Pass-fail scale 446
Path analysis 34—35 122—136 149—154 480
Path analysis, coefficients, estimating and testing 126—128
Path analysis, condition 9, 9', and 10 tests of validity 126 438
Path analysis, decomposition of correlations via 128—129
Path analysis, examples of 130—135 464—468
Path analysis, identity of models differing only in direction of an arrow 34—35
Path analysis, path diagrams 34—35 131 134
Path analysis, preconditions for validity of 124—125
Path analysis, recursive models 34 122
Path analysis, references 136 479
Path analysis, terminology 123—124
Pattern coefficients 397 409 415
Pattern matrix 321 330 340 378
Paulus, D. 136
Payoffs, in games 80 336—338
PCA See Principal component analysis
Peakedness See Kurtosis
Pearson product-moment correlation, r 13 16t 28—32 35 45 61 63 68 268 444—447.
Pearson product-moment correlation, r, alternatives to 445—447
Pearson product-moment correlation, r, canonical correlation 268
Pearson product-moment correlation, r, critical values for 30 446t
Pearson product-moment correlation, r, heuristic survey of 14—45 16t
Pearson product-moment correlation, r, maximum 317
Pearson product-moment correlation, r, robustness of 445
Pearson product-moment correlation, r, two-sample t 549—550
Personality traits 68
PFA See Principal factor analysis
Phi coeficient 30 444 445
Phobic controls 256
Pieper, S. 430
Piliai, K.C.S. 25 232 257 280
Pillai test 232 280 557—559
Polynomials, extrema of 482—486
Polynomials, models for 336
Polynomials, roots of 509
Polynomials, uncorrelated 409
Pooled estimate 18
Population, covariance of 78
Population, means 211 213 215 217 220—222 231 243 255 262
Population, normal 212
Population, prediction equation 45
Population, regression equations for 59—77
Population, roots 235—237 260
Population, variance of 148
Post hoc tests 105 213—215 155
Postmultiplication 105
Pothoff, R.F. 455
Power law 59
Pratt, J.W. 75
Predictors 4 10—11 13 16t 32—34 37 39 55 58 536—538
Predictors, best choice of 108
Predictors, curve-fitting and 78
Predictors, effect-coded 106
Predictors, in MRA 536—538
Predictors, linear combinations of 551
Predictors, overlap among 147
Predictors, RSQUARE 0
Predictors, subsets of 96. See also PROC
Prentice-Dunn, S. 44
Press, S.J. 3 479
Price, J.M. 40
Price, R.B. 122
Principal component analysis (PCA) 16t 40—42 122 169 285 318—393.
Principal component analysis (PCA), canned programs for 325—326 338—340
Principal component analysis (PCA), communalities and 566
Principal component analysis (PCA), reproducibility property 329 369
Principal component analysis (PCA), scalar formulae for 322—325
Principal component analysis (PCA), vs. factor analysis 40 318—320 326 416—421
Principal component(s) 40—41 46 169 318—393 560—562.
Principal factor analysis (PFA) 43 44
Principal factor analysis (PFA), communalities in 400
Principal factor analysis (PFA), equivalence to PCA in equal-communalities case 417
Principal factor analysis (PFA), PCA and 404 416—419 424
Principal factor analysis, additional unique properties (AUPs) 326—327
Principal factor analysis, as preliminary to other analyses 334—338 344—348
Principal factor analysis, computational convenience of 334—335 345—346 371
Principal factor analysis, correlation-based 325 352 354—355
Principal factor analysis, covariance-based 352—354
Principal factor analysis, definition of 319—327 381
Principal factor analysis, eigenvalues and 320 383
Principal factor analysis, interpretation of 327—334 341—344 348—351 354 360 368 372—378
Principal factor analysis, latent variables and 318 334—335 348 355—359
Principal factor analysis, linear dependence and 335—338
Principal factor analysis, orthogonality of 333 562
Principal factor analysis, principal, not principle components 319
Principal factor analysis, rotation of 336 343 356—381 365t 367t 369t
Principal factor analysis, significance tests for 351—355
Principal factor analysis, uses of 333—351
Principal, not principle components 319
Prisoner's Dilemma game 248 262 282—284 297 299 308 336
Prizes, division of 157t
| PROC CALIS 433—442
PROC FACTOR program 315
PROC GLM program 183 188 297 459
PROC MATRIX program 162—163 181 299—301
PROC RSQUARE program 76
Profile analysis 173—182 229—231 449—450
Profile analysis, Anova and 175
Profile analysis, inappropriate 209
Profile analysis, multiple 229—231
Profile analysis, repeated-measure 188—189 189t
Profile analysis, simple 224
Programs for critical values 532
Programs for discriminant analysis 182—184
Programs for factor analysis 325—326 338—340 421—442
Programs for Manova 232 246 250 256 257—262
Programs for matrix operations 342 487—513
Programs for multiple regression 76 77 80 89—90 93 95—105
Programs for PCA 325—326 338—340
Programs, canned See Canned programs
Programs, computer See also program by name
Programs, interpretive problems 51—52
Programs, Pearson r and 445
Programs, PFA with 310
Programs, point-and-click operation of 102—103 259—260 326 339 422—423
Programs, supplementary computations needed 259
Programs, syntax window, use of 101—102 325 329 421—422
Programs, test problems 313
Proof, definition of 54 57
Pruzek, R.M. 410 417 459
Pugh, R.C. 148
Quade, D. 8
Quartimax procedures 361—366 364t 365t
R See Pearson r
R-derived matrix 325 352 354—355
Rabinowitz, S.N. 410 417
Randomness 1 3 11
Randomness, random number generator 327
Randomness, sampling and 210 451
Randomness, statistical control and 10—11
Rank, characteristic roots and 508
Rank, communality and 302—304
Rank, of matrix 71—72
Rank, rank-order correlations 30 444
Rao's F approximation 252
Rao, C.R. 252
Rating scale responses, and pairwise preference 5
Raw scores 32 272 489
Rawlings, R.R. 116
Recording system 36
Redundancy 36 281 293—295
Redundancy, as averaged multiple Rs 294
Redundancy, coefficients of 281 293—295
Regression analysis See also Multiple
Regression analysis, bivariate 15 28—31
Regression analysis, coefficients of See Regression coefficients
Regression analysis, computer programs for 96—105
Regression analysis, equations for 29 32
Regression analysis, multiple correlation and 16t 31—34
Regression analysis, raw score 185
Regression analysis, raw score, REGRESSION program 76 78 315
Regression analysis, regression variates 69
Regression analysis, stepwise 116
Regression coefficients 58
Regression coefficients, confidence intervals around 80
Regression coefficients, correlation-based formulae 81
Regression coefficients, for z scores 279
Regression coefficients, linear combinations of 80
Regression coefficients, significance tests of 80
Regression coefficients, unbiased estimators of 85
Regression coefficients, vector of 106
Reising, J. 239
Reliability 280. See also Error
Reliability, as upper bound on communality 401
Reliability, coefficient of 239
Reliability, computer program for 411
Reliability, estimates of 443 401
Reliability, theory of 420
Religion 275
Repeated battery analysis 252—253 256 284—288 419
Repeated battery analysis, Canona 284—288
Repeated measures design 22—23 27 252—257
Repeated measures design, and 188—189
Repeated measures design, conservative tests of overall 190
Repeated measures design, F tests for 192
Repeated measures design, Manova and 252—257
Repeated measures design, univariate approach to, inappropriateness of 252
Replication of Deutsch study See Prisoner's Dilemma
Reproduced correlation matrix 466 470 477
Research process 1 3
Residuals 235 403
Residuals, correlation between 280
Residuals, matrix of 510
Residuals, random 62
Response profile 24 45 47
Response vectors 155 159 161 173 177 201
Ridge regression 122
Robustness of 188
Robustness of gcr test 232 237—238 452
Robustness of multiple regression analysis 68—69
Robustness of multivariate tests 452—453
Robustness of significance tests 444 452
Robustness of Student's t test 188
Robustness, of Wilks'lambda 232
Robustness, sample size needed for 63—65 188
Robustness, simplified coefficients and 237—238
Robustness, under violation of assumptions 445—453
Robustness, unequal-n exception to 450
Rogan, J.C. 190 252
Rogers, R.W. 44
Roll, S. 23 33
Roots See Eigenvalues
Rosenberg, S. 5
Rotation, basic formulae for 358—360
Rotation, by graphical methods 358 360 362 382
Rotation, criteria for 360—366
Rotation, least-squares method 365
Rotation, oblique 300 409 425
Rotation, of canonical variates 281 288—290
Rotation, of loadings 564—565
Rotation, of principal components 327 336 343 356—381 365t 367t 369t
Rotation, of reference frame 43 358—360
Rotation, of scoring-coefficient matrix 415—416
Rotation, orthoblique 424
Rotation, quartimax rotation 269—274 364t 365t 361—365
Rotation, uncorrelated-components vs. orthogonal-profiles 327 378—381
Rotation, varimax criterion for 362
Rounding error See Error roundoff
Row operations 496—501
Row vector 488
Roy's root criterion 558 559.
Roy's test 415. See also Greatest characteristic root
Roy's union-intersection principle 7 96 156—158 221 234 238 232
Roy, S.N. 156 221 280 450 455
Rozeboom, W.W. 122
Ryan, T.A. 170
Safety engineering 87
Sahai, H. 153
Salkind, N.J. 0
Sample size, criteria for fraction of expected difference significant (FEDS) procedure 6 7—9
Sample size, criteria for fraction of expected difference significant (FEDS) procedure, “Magic fraction” 9
Sample size, criteria for minimally important difference significant (MIDS) criterion 6 7—9
Sample sizes See Robustness sample
Sampling, central limit theorem 18 211
Sampling, cluster sampling 452
Sampling, covariance and 51 261—262
Sampling, population parameters and 59—77 210—211
Sampling, principal component analysis and 334 336
Sampling, sample means 15 18 20 29 49 155—156 210
Sampling, small samples 165 179 186
Sampling, space 57
|
|
|
| Ðåêëàìà |
|
|
|
|
|
Î ïðîåêòå