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Hox J. — Multilevel analysis: techniques and applications
Hox J. — Multilevel analysis: techniques and applications

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Название: Multilevel analysis: techniques and applications

Автор: Hox J.

Язык: en

Рубрика: Математика/Вероятность/Статистика и приложения/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2002

Количество страниц: 304

Добавлена в каталог: 03.06.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Abrams, K.R.      139 153 291
Acock, A.      226 286
Adams, R.J.      172 281
Adjusted goodness-of-fit index      See Evaluation of SEM fit; AGFI
Afshartous, D.      172 281
Aggregation      2 7
Agresti, A.      107 281
AIC      See Evaluation of multilevel regression fit; Akaike's information criterion
Aiken, L.S.      58 62 281 286
Aitkin, M.      103 107 116 281
Akaike's criterion      See Evaluation of multilevel regression fit
Akaike's information criterion      See Evaluation of multilevel regression fit
Akaike, H.      45 181
Alba, R.D.      8 281
Albert, P.      40 292
Algina, J.      32 281
Alker, H.R.      4 281
AMOS      See computer programs
Ancova      52
Anderson, D.      103 107 116 281
Anderson, J.C.      239 240 283
Andrich, D.      172 281
Ansari, A.      260 281 285
Anscombe, F.J.      26 281
Antczak-Boucoums, A.      152 281
Appelbaum, M.I.      93 94 282
Arbuckle, J.L.      205 226 240 244 263 274 281
Arnold, C.L.      35 281 284
Assumptions, checking normality      23
Atomistic fallacy      4
Autocorrelation      See longitudinal model complex
Autocorrelation plot in MCMC      See MCMC diagnostic
Autoregression      See longitudinal model complex
Balanced data      228 229
Barbosa, M.F.      102 281
Barnett, V.      175 211 281
Baumert J.      226 287
Bayes estimators      See Estimation methods
Bechger, T.M.      73 226 281 285
Beck, N.      201 281
Benichou, J.      197 198 279 283
Bentler, P.M.      226 239 241 260 273 281 282
Berger, M.      173 288 289
Berkey, C.S.      152 153 281
Berkhof, J.      45 281
Bernouilli distribution      See Data dichotomous
Bernstein, I.H.      149 150 166 168 172 288
Between-groups covariance matrix      See Covariance matrix
Bhumirat, C.      110 277 289
BIC      See Schwarz's Bayesian Information Criterion
Biggerstaff, B.J.      154 281
Binary response      See Data dichotomous
Binomial data      See Data proportions
Binomial distribution      See Data proportions
Bithell, J.      204 208 282
Blalock, H.M.      7 138 281
Bock, R.D.      8 107 284 288
Bollen, K.A.      193 231 252 282
Bonett, D.G.      239 281
Bonferroni correction      53
Boomsma, A.      53 282
Booth, J.G.      204 282
Bootstrap      201 207
Bootstrap, bias correction      206 210
Bootstrap, iterated bootstrap      210
Bootstrap, nonparametric      208
Bootstrap, number of iterations      204 206
Bootstrap, parametric      208
Bootstrap, sample size      204 208
Bosker, R.J.      30 34 66 67 68 81 94 135 172 173 177 180 187 189 198 282 291
Bostrom, A.      97 283
Boyd, L.H.      4 282
Brockwell, S.E.      145 282
Browne, M.W.      239 268 282
Browne, W.J.      34 38 43 109 132 137 153 213 172 173 223 260 282 284 289
Bryk, A.S.      8 11 12 22 29 30 33 34 38 40 43 52 54 64 65 69 70 75 86 87 90 91 93 95 96 97 141 142 143 148 149 1532 153 172 203 274 276 277 282 285 289
Bugs      See computer programs BUGS
Burchinal, M.      93 94 282
Burstein, L.      4 290
Burton, P.      40 282
Busing, F.      40 42 43 171 172 282 292
Campanelli, P.      8 124 288
Camstra, A.      53 282
Carlin, B.P.      29 282
Carpenter, J.      204 208 282
Carroli, G.      145 292
Carton, A.      124 289
Casella, G.      38 212 227 282 290
Cattell, R.B.      237 282
Causal analysis      See Structural equation modeling
Centering      54
Centering, grand mean      56
Centering, group mean      58 61
Chan, D.      7 282
Chan, W.      204 292
Chan, W.-S.      74 289
Cheong, Y.F.      22. 33 86 102 110 203 274 289
Chi-square test in meta-analysis      153
Chi-square test in multilevel regression      148 153
Chi-square test in multilevel SEM      See Evaluation of SEM fit
Chinn, S.      6 284
Chou, C.-P.      239 273 282
Cnaan. A.      75 95 282
Cohen, J.      9 179 180 181 187 225 282
Cohen, M.P.      172 173 176 179 282
Cohen, P.      8 225 282
Colditz, G.A.      152 281
Comparative fit index      See Evaluation of SEM fit
Compound symmetry      See Longitudinal model
Computer programs, aML      110 137 201
Computer programs, AMOS      226 251 263
Computer programs, BUGS      154 214
Computer programs, EQS      226 251
Computer programs, GLLAMM      261
Computer programs, HLM      33 34 35 43 91 102 110 137 152 176 201 274
Computer programs, LISREL      226 248 251 260
Computer programs, META      145 155
Computer programs, Mixor / Mixreg      102 110
Computer programs, MLwiN      34 91 102 137 153 176 201 214 220 274
Computer programs, Mplus      226 231 237 248 262
Computer programs, PinT      182 191
Computer programs, PRELIS      102 137
Computer programs, SAS Proc Mixed      34 35 153
Computer programs, SPLIT2      231 237 253
Computer programs, SPSS      35
Computer programs, STATA      261
Computer programs, STREAMS      227 231 249
Confidence interval      18 42 200 212
Confirmatory factor analysis      See Structural equation modeling
Congdon, R.      22. 33 40 43 86 102 110 203 274 289
Constraint      48 160
Contextual variable      See Variable
contrast      46
Convergence      38
Cooper, H.      139 282
Cornell, J.      139 282
Correlation ratio      15
Covariance matrix, between groups      227 228 231 245 251
Covariance matrix, within groups      227 228 231 235 245 251
Covariance structure analysis      See Structural equation modeling
Credibility interval      212
Cronbach, L.J.      7 129 227 282 283
Cross-classification      123 136
Cross-classification at lowest level      128
Cross-classification at second level      124
Cross-level interactions      See Interaction
Cross-validation      53
Cudeck, R.      239 268 282
Data, dichotomous      110 175
Data, event count      122
Data, hierarchical      1
Data, longitudinal      1 73
Data, proportions      103 112 175
Davidian, M.      110 284
Davidson, R.      45 284
Davis, P.      32 283
de Glopper, C.      73 281
de Leeuw, E.D.      8 112 124 141 157 277 283 285 286
de Leeuw, J.      4 11 34 35 38 52 62 92 227 283 286
Decomposition of scores      227
Degrees of freedom      See t-test
Delucchi, K.      97 283
Design effect      5 181 185 187
Deviance      16 43
Deviance, chi-square test on      16 45 48
Deviance, in profile likelihood method      199
Dichotomous data      See Data
DiPrete, T.A.      8 30 74 283
Disaggregation      2 7 227 232
Dispersion parameter      See Extrabinomial variation
Donner, A.      201 292
Draper, D.      34 132 137 153 172 173 233 282 284 289
Dronkers, J.      252 257 280 290
du Toit, M.      102 137 226 260 274 283 286
du Toit, S.      102 137 226 260 274 283 286
Dukes, K.A      35 291
Dummy level      126 158
Dummy variable      56 158
Dumouchel, W.H.      153 154 283
Duncan, S.C.      75 274 283
Duncan, T.E.      72 226 264 283 286
Duval, R.D.      37 204 206 207 288
Earls, T.      166 290
EB      See Empirical Bayes
Ecological correlation      3
Ecological fallacy      3
Ecometrics      See Measurement at
effect size      141 142 177 183
Efron, B.      203 283
Eliason, S.R.      16 37 200 283
Elliot, P.R      226 286
Empirical Bayes      28 172
Engels, E.A      144 283
EQS      See Computer programs
Erbring, L.      7 283
Error bar      See Residuals plots
Error distribution      104
Error of measurement      See Measurement
Ervin, L.H.      201 201 287
Estimation methods, Bayesian      41 153 172 211 220 222 223
Estimation methods, bootstrapping      40 203
Estimation methods, direct SEM      242 245 247
Estimation methods, full maximum likelihood      37 38 46 149 153 160 167 243
Estimation methods, full maximum likelihood in multilevel SEM      229 260
Estimation methods, generalized estimating equations      40 201
Estimation methods, generalized least squares      39
Estimation methods, maximum likelihood      37 197.
Estimation methods, Muthen's limited information likelihood SEM      230 231
Estimation methods, OLS      52
Estimation methods, restricted maximum likelihood      38 46 147 149 153 167 243
Eta      See Correlation ratio
Evaluation of multilevel regression fit, Akaike's information criterion      45
Evaluation of multilevel regression fit, Schwarz's Bayesian Information Criterion      46
Evaluation of SEM fit      238 256 268
Evaluation of SEM fit, chi-square test      238
Evaluation of SEM fit, in multilevel models      240
Evaluation of SEM fit, index AGFI      239
Evaluation of SEM fit, index CFI      239 241
Evaluation of SEM fit, index GFI      239
Evaluation of SEM fit, index NFI      239
Evaluation of SEM fit, index NNFI      239 241
Evaluation of SEM fit, index RMSEA      239 241
Evaluation of SEM fit, index TLI      239 241
Evans, M.      117 283
Explained variance, in longitudinal models      81 91
Explained variance, in multilevel regression      63 70 148
Explained variance, negative $R^2$      66 81 90
Explained variance, Snijders / Bosker estimator      67 70
Explanatory variable      159 165
Extra-binomial variation      108 114 117
Factor analysis      See Structural equation modeling
Faust, K.      130 292
Fears, T.R.      197 198 279 283
Fidell, L.S.      10 15 22 23 26 27 152 197 291
Fielding, A.      122 283
First order approximation      See Quasi-likelihood
Fisher, M.      203 289
Fixed coefficient      173
Flay, B.R.      32 291
Fleiss, J.L      14 291
FML      See estimation methods full
Forristal, J.D.      8 30 283
Fotiu, R.P.      43 283
Francis, B.      103 107 116 281
Gail, M.H.      197 198 279 283
Galtung, J.      2 283
Gange, S.      203 289
Gavin, M.B.      52 285
Gee      See Estimation methods generalized
Gelfland, A.E.      121 291
Gelman, A.      213 283
Generalized estimating equations      See Estimation methods
Generalized least squares      See Estimation methods
Generalized linear model      See GLM
George, E.      212 282
Gerbing, D.W.      239 240 283
GFI      See Evaluation of SEM fit
Gibbons, R.D.      96 102 110 284
Gibbs sampling      See MCMC
Gill, J.      103 283
Glass, G.V.      139 145 283
Gleser, G.C.      124 283
GLM      103 104 105
GLM, multilevel GLM      107
GLS      See Estimation methods generalized
Goldman, N.      109 110 173 290
Goldstein, H.      2 8 9 12 25 26 30 34 40 41 43 48 75 94 96 97 102 107 108 109 124 125 132 137 138 152 153 173 200 201 203 226 227 242 260 281. 284 285 288 289 291 292
Good, P.I.      40 204 208 280 2844
Goodness of fit      See Evaluation of fit
Goodness-of-fit index      See Evaluation of SEM fit GFI
Gordon, I.R.      145 153 282
Green, S.B.      42 284
Greene, W.H      201 284
Groves, R.M      6 173 182 284
Growth curve model      See Longitudinal model latent
Grusky.D.B      8 74 283
Guldemond, H.      180 189 282
Gulliford, M.C.      6 284
Gurrin, L.      40 282
Gustafsson, J.-E.      9 227 231 237 249 252 284
Habekothe, H.T.      135 286
Haight, W.      85 285
Hamagami, F.      226 287
Hancock, G.R.      204 288
Harmer, P.      226 286
Harnqvist, K.      9 227 284
Hartford, A.      110 284
Harwell, M.      43 284
Hastings, N.      117 283
Hays, W.L.      94 205 232 284
Healy, M.J.R.      8 26 30 34 132 137 153 284 289
Heck, R.H.      35 227 248 249 284
Hedeker, D.      32 96 102 110 284 291
Hedges, L.V.      139 141 142 144 145 153 205 282 284
Hermkens, P.L.J.      8 285
Heteroscedastic      14
Hierarchical linear model      See Model
Higgins, J.P.      152 284
Hill, P.W.      138 227 285 288 290
Hinde, J.      102 107 116 281
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