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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
Secrest, D. 6 22
Seltzer, M. 25—29 31—33 38 41 43 46 48 49 51 144 154
Sensitivity 233
Sensitivity analysis 25
Sex 219—225
Shapiro, M. F. 286 297
Shedden, K. 79 80 89 114 118 138
Simon, H. 283
Simple random resampling (SRR) 215—216 219
SIMU (MLn command) 213 218
Singer, J. D. 103 111
Singer, J. E. 159 179
skewness 240
Smiley. P. 28—30 47 51
Smith, A. F. M. 32 46 50 52 116 138 305
Smith, H. 212 228 266 279
Smith, J. L. 15 17 20 22
Smith, S. M. 286 297
Snijders, T. A. B. 91 111 160 180 287 288 298
Sobel, M. E. 75 88
Social relationships 157
Solman, R. 273 281
Sommer, G. 180
Sorboin, D. 109 110 257 258 269 273 279 281
Spiegelhalter, D. J. 27 32 43 50 51 111 156 196 207
Spisic, D. 79 80 89
Spreen, M. 180
St Clair. P. A. 286 297
Stable unit treatment value (SUTVA) 114
Statistical conclusion validity 268
Steiger, J. H. 257 283
Stern, H. 32 50
Stewart, M. B. 181 208
Stoolmiller, M. 64 68
Stroud, A. H. 6 22
Structural equation model 259
Stuart, A. 241 253
Tanner, M. A. 32 51 52 117 138
Taylor, J. 26 50
Tebow, J. F. 286 297
Thomas, A. 27 32 43 51 144 156
Thomas, H. 198 206
Thomas, S. L. 55 69
Thompson, C. 12 21
Thurn, Y. M. 74 89
Tiao, G. 31 32 49
Tisak. J. 74 88
Titterington, D. M. 116 138
Tolsdorf, C. C. 159 180
Topping, M. E. 294 296
Total effect 268 275
Transactional process 158
Transactional theory 176
Transforming degrees of freedom parameters 43
Treating degress of freedom parameters as unknowns 33 41—45
Treatment contrast 246
Trickctt, E. J. 159 180
Tukey. J. 26 51
Tuning parameter 249 250
Tweedie, R. L. 108 111
Ueberhuber, C. W. 6 22
Validity 257 269
Van der Boek, C. J. 253
van der Leeden, R. 22 144 154 228
Variance component analysis 187 190 203
Variance components model 273
Variance known 92
Variance known model 94
Vaux, A. 158 159 178 180
Verbeke, G. 79 89
Vevea. J. L. 95 110
Vines. K. 34 49
Vonesh, E. F. 2 20 22
Wacliwiw, M. A. 228
Wakefield, J. 52
Wald test 148
Walker, S. 2 22
Wallius, E. 273 279
Wang, C. P. 114 118 129 138
Wang, S. 123 137
Ware, J. H. 73 88 229 254
Waternaux, C. 295 297
Wearing, A. J. 256 280
Weighted least squares 257
Weil, M. 147 154
Werthamer, L. 123 124 137 138
Werts, C. E. 283
West, M. 26 52
West, P. 232 233 236 253 254
West, S. G. 128 139
Wheeler, L. 124 138
Whitehead, J. 188 199 206
Wild, C. J. 13 22
Wiliams, D. A. 208
Willet, J. B. 103 111 254
Williams, L. J. 283
Wolfe, R. 27 51
Wong, W. H. 26 32 51 52
Woodhouse, G. 107 111 144 156 165 180 188 196 197 199 207—211 215 218 228 235 253 255 259 271 280 282 284
work environment 278
Wothke, W. 257 279
Wright, D. 189 204 208
Wu, C. F. J. 68 70
Wyke, S. 233 236 253
Yang, C. C. 114 118 129 138
Yang, M. 107 110 144 156 165 178 180 186 188 189 193 196—199 204 206—211 215 218 228 235 253 255 259 271 280 282
Yau, L. 113 137
Yung, Y. F. 55 67 70
Zhou, X. H. 115 135 136
Zucker, D. M. 285 298
Zwaagstra, R. 160 180
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