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Reise S.P., Duan N. — Multilevel modeling: methodological advances, issues, and applications
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Название: Multilevel modeling: methodological advances, issues, and applications
Авторы: Reise S.P., Duan N.
Аннотация: Researchers in multilevel modeling (MLM) report on new statistical advances, methodological issues, and applications in MLM, and examine problems that occur when trying to use MLM in applied research in areas such as power, experimental design, and model violations. The book will be of interest to researchers in advanced statistical training and experience in applying MLMs, especially in the areas of education, clinical intervention, psychology, and other behavioral sciences. The book can also be used as a supplement for an introductory graduate course. Reise teaches measurement at the University of California-Los Angeles. Duan teaches psychiatry and biostatistics at the University of California-Los Angeles.
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Рубрика: Математика /Вероятность /Статистика и приложения /
Статус предметного указателя: Готов указатель с номерами страниц
ed2k: ed2k stats
Год издания: 2002
Количество страниц: 314
Добавлена в каталог: 12.06.2005
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Предметный указатель
Hunter, J. E. 92 95 96 98 100 101 106 110
Hutchison, D. 209 211 213 214 216 219 228
Ialongo, N. S. 123 137
Imbens, G. W. 113—115 135—137
Independence assumption 269
Indirect effect 268 275
Inherent hierarchical structure 278
Inskip, H. 27 51
Intent to treat analysis 112
Interdependent effects 256
Intervention noncompliance 112 114
Intraclass correlation 94 140—149 262 268 288 293—296
Intraschool correlation 263
Iteration 249
Iterative deletion of outliers 246 249 252
Iterative detection of outliers 252
Iterative generalized least squares estimation (IGLS) 167 188 262 266
Iterative procedure 217—218 227
Iterative residual deletion 233 246
Iterative residual detection 246
Iterative residual detection, kurtosis 240 249
Ivenward, M. G 230 233 235 244 246 251—254
Iyengar, S. 103 110
Jackson, D. J. 258 279
Jamieson, B. 231 233 236 252 253
Jamshidian, M. 68 69
Jansen, J. 188 207
Jennrich, R. 1 68 69 73 88
Jiang, J. 48 50
Jo, B. 112 114 115 118 123 129 135 137 138
Jones, K. 159 165 178
Jones, W. H. 163 179
Joreskog, K. G. 109 110 257 258 269 273 279 281 283
Kalaian, H. A. 107 110
Kaplan, D. 75 89 154 155 256 281
Karney, B, R. 160 178
Kellam, S. G. 114 118 123 124 129 137 138
Kendall, M. 241 253
Kent, J. T. 266 281
Khoo, S. T. 114 118 129 138
Kiecolt — Glaser, J. K. 74 88
Kiger, G. 171 178
Kim, C. 74 88
Kirby, D. 144 145 147 154
Kish, L. 294 297
Klebe, K. J. 13 15 17 20—22
Kleve, K. J. 21
Kok, G. 144 145 154
Kreft, I. G. 2 22 161 179 285 295 297
Krishnan, T. 117 137
Krommer, A. R. 6 22
Krull, J. L. 154 155 295 297
Kuk, A. 204 207 218 219 227 228
Kyriacou, C. 273 281
Laird. N. M. 26 50 56 68 73 88 117 136
Lakey, B. 159 163 179
Lange, K. 26 50 59 68 69
Langford, I. H. 197 207 229 231 232 235 253 255 271 282
Latent random vectors 54
Latent variable 193 209 216—217 256 268
Latent variable structural equation modeling 74
Latent variable, measurement of 256
Lawley, D. N. 258 281
Leave-one-out analysis 46
Lee, S. Y. 54 59 60 65—67 69
Leppin, A. 158 179
Lesaffre, E. 79 89
Lewis, S. 48 51
Lewis, T. 197 207 229—232 235 252 253 255 271 282
Liao, J. 114 118 129 138 295 296
Light, R. D. 103 111
Likert-type scale 256
Lillard, L. A. 109 111
Lim, N. 27 51
Lin, Y. 123 137
Lindenberger, U. 290 297
Lindstrom, M. J. 2 22 73 88
Link function 185 187 189
Linn, R. L. 283
Little, R. J. A. 26 49 50 113 117 137
Little, T. D. 285 290 297
Liu, C. 43 51
Liu, X. 288 292 295 296 298
Log odds 186 187
logit 185—187
Logit link 185
Logit model 187 194 198 202
Lomax, R. G. 255 283
Longford, N. T. 144 155 165 179 229
Longitudinal data 231
Louis, T. 31 50
MacCallum, R. C. 74 88
Macintyre, S. 233 236 253
MacKinnon, D. P. 154 155 295 297
Maier, H. 290 297
Makov, U. E. 116 138
Malarkey, W. B. 74 88
Marcoulides, G. A. 255 281
Mardia, K. V. 266 281
Marginal quasi-likelihood 144 188
Markov chain Monte Carlo 26 27 31 34 108 204
Markov Chain Monte Carlo, assessing convergence 34 47
Markov Chain Monte Carlo, Gibbs sampling 47
Markov Chain Monte Carlo, implementation 34
Martin, D. 291 297
Masse, L. 144 145 154
Masyn, K. 114 118 129 138
Maximally reliable latent construct 278
Maximum likelihood, estimation 8—10
Maximum likelihood, nonlinear random effects model 143
Maximum likelihood, segmented polynomial model 12—15
Maximum likelihood, three parameter logistic model 17 18
Maxwell, A. E. 258 281
Maxwell, S. E. 140 155
McArdle, J. J. 12 16 21 22 256 281
McCabe, K. M. 159 163 179
McCaffrey, D. F. 286 297
McCormick, J. 273 281
McCullagh, P. 182 207
McDonald, R. P. 53 66 69 257 258 269 281 282
McKinlay, S. M. 291 297
McLachlan, G. J. 80 88 116 117 137 138
Mean and covariance structures 54
Mean score (level 2) 214 216 218—223
Measurement and distributional characteristics of data 278
Measurement error 209—214 216—219 257 259 268
Measurement error adjusting for 209 211 218—219
Measurement error in dependent variable 210
Measurement error variance 210 212 217 260
Measurement error variance, level 2 210 217
Measurement model 256
Mee, R. W. 188 207
Meijer, E. 211 228
Meng, X. 43 47 50
Mengersen, K. L. 108 111
Meorbeek, M. 297
Meredith, W. 74 88
Mermelstein, R. J. 186 207
Meta-analysis 90
Meta-analysis, classical analysis methods 96 97
Meta-analysis, effect size 92
Meta-analysis, fixed effects 95
Meta-analysis, heterogeneous outcomes 91 96
Meta-analysis, homogeneous outcomes 91 96
Meta-analysis, random effects model 90
Meta-analysis, software issues 107—109
Meta-analysis, study vai'iables in meta-analysis methodological 96 101 102 106
Meta-analysis, study variance in meta-analysis between 94 95 99 106
Meta-analysis, theoretical 100 106
Meta-analysis, variance test 107 108
Meta-analysis, within 94
Middlestadt, S. 144 155
Misestimated parameters 269
Missing at random 141
Missing data 140 149—151 153
MLM repeated measures data 140—144
MLM repeated measures data, example 144—149 151—152
MLM repeated measures data, unbalanced designs 149
Modern systems theory 275
Moerbeek, M. 288 292
Monotonicity 115
Moon, G. 159 165 178
Mooney, C. Z. 212 214 216 228
Moos, R. 159 179
Morrell, C. H. 13 22
Mortimer, A. L. 294 296
Morton, S. C. 286 297
Mosteller, F. 26 51
Mulrow, C. 93 110
Multilevel regression model 257 262
Multilevel variance components model 262
Multivariate dependent variable 229
Multivariate test, never-taker 114
Multivariate test, zero kurtosis 259
Multivariate test, zero skewness 259
Murray, D. M. 142 155 156 291 297
Muthen, B. 0 53 55 64 66—71 74 75 77 79—81 87—89 112—114 117 118 137 138 154 155 269 282 295 297
Muthen, L. K. 64 69 80 89 113 117 118 138
Nagin, D. S. 113 138
Nelder, J. A. 182 207
Nodora, J. 144 145 154
Nonlinear functions 143 195 233
Nonlinear multilevel model 3 8
Nonlinear multilevel model, covariates 4 18
Nonlinear multilevel model, examples 11—18
Nonlinear multilevel model, individual coefficients 11
Nonlinear multilevel model, level 2
Nonverbal abilty over the lifespan 11—15
Normal scores 259
Normal scores model 199
Novak, J. 27 51
Nunnally, J. C. 101 111
Observed indicators 258
Observed variable 268
Odds ratios 186
Olkin, I. 90—92 95—97 99 100 106—108 110
One-factor congeneric, measurement model 257 275 278
Optimal design 287—289
Ordered category models 181 195 197
Ordered logit model 187
Ordered probit model 187
Ordered response 185
Organizational psychological research 255
Organizational psychology 256
Oscillation of solutions 218
Overton, R. C. 95 96 111
Oxley, D. 159 179
Pan, H. 210 211 215 218 228 235 253
Panis, C. W. A. 109 111
Parcel, G. S. 144 145 147 154
Payne, R. 273 279
Pearson, J. D. 13 22
Peel, D. 116 138
Penalized quasi-likelihood 143 188
Perl, H. 1 159 180
Perturbation 244 252
Perturbed data 241
Pillemer, D. B. 103 111
Pinheiro, J. C. 2 3 20 22
Plewis, I. 144 156 188 197 199 207 235 253 255 271 280 282
Points scored responses 199
Polychoric correlations 257
Polynomial growth model 246
Polynomial model 233 235 239
Polynomials 190 199 233—235
Poon, W. Y. 69
Population structure 215 227
Posterior predictive model checking 47
Power 269
Power analysis for multilevel studies 293—296
Pratt, J. 273 281
Prior distributions for fixed effects 48
Prior distributions for variance components 48
Probit 185 187 202
Probit link 197
Probit model 187 199 200 202
Production function 196
Program estimates 218 220
Proportional odds 185 193
Pseudo'schools 227
Pupil turnover 219—226
Quasi-likelihood 204
Quasi-likelihood estimation 199
Rabash, J. 211 215 227
Rachman — Moore, D. 51
Racine — Poon, A. 32 46 50 52
Raftery, A. 48 51
Random effects, cross-classified 182 197 199 204
Random effects, weighted 182 197 199
Random elements and errors-in-variables 211
Random elements, conceptualization and bootstrapping 211
Rasbash, J 107 111 143 144 155 156 165 180 188 197 199 204 206—211 215 218 220 228 235 253 255 259 262 263 271 280 282
Rasbash, R. 255 280
Raudenbush, S. W. 1 21 27 30 31 34 46 49 53 70 74 88 91—94 100 106—111 140 141 144 147 148 154 155 159 165 178 180 188 198 199 206 207 255—257 269 279 282 285 288 291 292 295—298
Raw composite scale scores 259
Rebok, G. W. 123 137
Reliability (level 1) 210 215—216 219—223 257
Resampling, residuals 212—213 218 227
Resampling, units 212 215 218 227
Rescaling 202
Residuals 196 234 246 270
Residuals, deflating 214—215
Residuals, inflating 215
Riley, P. J. 171 178
Robust adaptive estimation 33
Rock, D. R. 258 283
Rodrigues, G. 144 155
Roe, D. J. 2 22
Rogosa, D. 229 253
Rohrle, B. 162 180
Rook, K. S. 174 180
Rooney, B. L. 142 156
Rosenberg, M. S. 109 111 162 180
Rosenthal, R. 93 97 111
Rowe, K. J. 255 256 258 263 266 268 275 280 282 283
Rowe, K. S 256 258 275 283
Royston, P. 235 253
Rubin, D. B. 26 31 32 47—51 56 68 113—115 117 135 138 250 253
Rubin’s causal model 114
Sagarin, B. J. 128 139
Sammons, P. 198 199 207
Saner, H. 253
Satorra, A. 75 89
Sayer, A. 229 254
Scale change 193
Scaling 203
Schafer, J. L. 141 155
Schill, T. 159 178
Schluchter, M. D. 73 88
Schmidt, F. L. 92 95 96 98 100 101 106 110
Schnabel, K. U. 297
Schnabel, R. B. 3 9 21
Schnable, K. U. 285
Schools 215
Schumacker, R. E. 255 281 283
Schwarzer, R. 96 102 109 111 158 179
Scoring model 200
Scott, D. J. 108 111
Searle, S. R. 285 298
Seber, G. A. F. 13 22
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