A handful of critical choices in multilevel modelling

• Autores: Leonardo Grilli, Carla Rampichini
• Localización: BEIO, Boletín de Estadística e Investigación Operativa, ISSN 1889-3805, Vol. 34, Nº. 1, 2018, págs. 7-24
• Idioma: inglés
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• Referencias bibliográficas
  • [1] Achen, C. H. (2005). Two-step hierarchical estimation: Beyond regressionanalysis.Political Analysis,13, 447–456.
  • [2] Asparouhov, T. (2006). General Multi-Level Modeling with SamplingWeights.Communications in Statistics - Theory and Methods,35, 439–460.
  • [3] Bartolucci, F., Pennoni, F., Vittadini, G. (2011). Assessment of SchoolPerformance Through a Multilevel Latent Markov Rasch Model.Journalof...
  • [4] Bell, B. A., Morgan, G. B., Schoeneberger, J. A., Kromrey, J. D., Ferron,J. M. (2012). How low can you go? An investigation of the influence...
  • [5] Bell, A., Jones, K., Fairbrother, M. (2017). Understanding andmisunderstanding group mean centering: a commentary on Kelleyet...
  • [6] Bell, A., Jones, K. (2015). Explaining Fixed Effects: Random EffectsModeling of Time-Series Cross-Sectional and Panel Data.Political...
  • [7] Besag, J., York, J., Molli ́e, A. (1991). Bayesian image restoration, withtwo applications in spatial statistics.Annals of the Institute...
  • [8] Browne, W.J., Draper, D. (2006). A comparison of Bayesian andlikelihood-based methods for fitting multilevel models,Bayesian...
  • [9] Browne, W., Goldstein, H., Rasbash, J. (2001). Multiple membershipmultiple classification (MMMC) models,Statistical Modelling,1, 103–124.
  • [10] Browne, W., Goldstein, H. (2010). MCMC Sampling for a Multilevel ModelWith Nonindependent Residuals Within and Between Cluster Units.Journalof...
  • [11] Bryan, M.L., Jenkins, S.P. (2015). Multilevel Modelling of Country Effects:A Cautionary Tale.European Sociological Review,32, 3–22.
  • [12] Cameron, A. C., Miller, D.L. (2015). A Practitioner’s Guide toCluster-Robust Inference,Journal of Human Resources,31, 317–372.
  • [13] Carpenter, J., Kenward, M. (2013).Multiple imputation and its application.Chichester, United Kingdom: John Wiley & Sons, Ltd.
  • [14] Castellano, K., Rabe-Hesketh, S., Skrondal, A. (2014). Composition,context, and endogeneity in school and teacher comparisons.Journal...
  • [15] DiPrete, T.A., Forristal, J.D. (1994). Multilevel Models: Methods andSubstance,Annual Review of Sociology,20, 331–357.
  • [16] Drikvandi, R., Verbeke, G., Molenberghs, G. (2017). DiagnosingMisspecification of the Random-Effects Distribution in Mixed Models.Biometrika,73,...
  • [17] Ebbes, P., Bockenholt, U., Wedel, M. (2004). Regressor and random-effectsdependencies in multilevel models.Statistica Neerlandica,58,...
  • [18] Elff, M., Heisig, J.P., Schaeffer, M., Shikano, S. (2016). No Need toTurn Bayesian in Multilevel Analysis with Few Clusters: How FrequentistMethods...
  • [19] Enders, C.K., Tofighi, D. (2007). Centering Predictor Variables inCross-Sectional Multilevel Models: A New Look at an Old...
  • [20] Enders, C.K., Keller, B.T., Levy, R. (2017) A FullyConditional Specification Approach to Multilevel Imputation ...
  • [21] Erler, N.S., Rizopoulos, D., van Rosmalen, J., Jaddoe, V.W.V., Franco,O.H., Lesaffre, E. (2016). Dealing with missing covariates in epidemiologicstudies:...
  • [22] Gelman, A. (2006). Prior distributions for variance parameters inhierarchical models (Comment on Article by Browne and Draper).BayesianAnalysis,1,...
  • [23] Goldstein, H. (2011).Multilevel Statistical Models. 4th edition. John Wiley& Sons.
  • [24] Goldstein, H., Burgess, S., McConnell, B. (2007). Modelling the effect ofpupil mobility on school differences in educational achievement,Journal...
  • [25] Goldstein, H., Carpenter, J. R., Browne, W. J. (2014). Fitting multilevelmultivariate models with missing data in responses and covariates...
  • [26] Grilli, L., Metelli, S., Rampichini, C. (2015). Bayesian estimation withINLA for logistic multilevel models.Journal of Statistical Computation...
  • [27] Grilli, L., Rampichini, C. (2009). Multilevel models for the evaluation ofeducational institutions: a review. In: Monari P., Bini M.,...
  • [28] Grilli, L., Rampichini, C. (2011). The role of sample cluster means inmultilevel models: a view on endogeneity and measurement error...
  • [29] Grilli, L., Rampichini, C. (2015). Specification of random effects inmultilevel models: a review.Quality & Quantity,49, 967–97
  • [30] Grilli, L., Pennoni, F., Rampichini, C., Romeo, I. (2016). Exploiting TIMSSand PIRLS combined data: multivariate multilevel modelling...
  • [31] Grund, S., Ludtke, O., Robitzsch, A. (2018). Multiple Imputation ofMissing Data for Multilevel Models Simulations and Recommendations,Organizational...
  • [32] Hedeker, D., Mermelstein, R.J., Demirtas, H. (2012). Modelingbetween-subject and within-subject variances in ecological momentaryassessment...
  • [33] Heinzl, F., Tutz, G. (2013). Clustering in linear mixed models withapproximate Dirichlet process mixtures using EM algorithm.StatisticalModelling,13,...
  • [34] Hox, J.J., Moerbeek, M., van de Schoot, R. (2017).Multilevel Analysis:Techniques and Applications, Third Edition. Routledge.
  • [35] Kelley, J., Evans, M.D.R., Lowman, J., Lykes, V. (2017).Group-mean-centering independent variables in multilevel ...
  • [36] Kim, J.S., Frees, E.W. (2007). Multilevel Modeling with Correlated Effects.Psychometrika,72, 505–533.
  • [37] Leckie, G. (2009). The complexity of school and neighbourhood effectsand movements of pupils on school differences in models of educationalachievement,Journal...
  • [38] Seaman, S., Galati, J., Jackson, D., Carlin, J. (2013). What Is Meant by“Missing at Random”?Statistical Science,28, 257–268.
  • [39] Lukociene, O., Varriale, R., Vermunt, J.K. (2010). The simultaneousdecision(s) about the number of lower- and higher-level classes in...
  • [40] Luo, W., Kwok, O. (2012). The Consequences of Ignoring Individuals’Mobility in Multilevel Growth Models: A Monte Carlo Study.Journal...
  • [41] McNeish, D. M. (2014). Modeling Sparsely Clustered Data: Design-Based,Model-Based, and Single-Level Methods.Psychological Methods,19,552–563.
  • [42] McNeish, D. M. (2017). Small Sample Methods for Multilevel Modeling:A Colloquial Elucidation of REML and the Kenward-Roger Correction,Multivariate...
  • [43] McNeish, D.M., Stapleton, L.M. (2016). Modeling Clustered Data withVery Few Clusters,Multivariate Behavioral Research,51, 495–518.
  • [44] McNeish, D., Stapleton, L. M., Silverman, R. D. (2017). On the unnecessaryubiquity of hierarchical linear modeling.Psychological Methods,22,...
  • [45] Mistler, S. A., Enders, C. K. (2016). A comparison of joint model and fullyconditional specification imputation for multilevel missing...
  • [46] Moerbeek, M., Teerenstra, S. (2016).Power Analysis of Trials withMultilevel Data. CRC Press.
  • [47] Muth ́en, B. (2004). Latent variable analysis: Growth mixture modeling andrelated techniques for longitudinal data. In: Kaplan D. (ed.)Handbook...
  • [48] Paccagnella, O. (2006). Centering or not centering in multilevel models. TheRole of the Group Mean and the Assessment of Group Effects.EvaluationReview,30,...
  • [49] Palardy, G., Vermunt, J.K. (2010). Multilevel growth mixture models forclassifying groups.Journal of Educational and Behavioral Statistics,35,532–565.
  • [50] Rabe-Hesketh, S., Skrondal, A. (2006). Multilevel modeling of complexsurvey data.Journal of the Royal Statistical Society Series A,169,...
  • [51] Rabe-Hesketh, S., Skrondal, A. (2012).Multilevel and LongitudinalModeling Using Stata, Third Edition. Stata Press.
  • [52] Rao, J.N.K. (2003).Small area estimation. LinkHoboken (N.J.): JohnWiley & sons.
  • [53] Raudenbush, S.W., Bryk, A.S. (2002).Hierarchical Linear Models:Applications and Data Analysis Methods. Sage.
  • [54] Sani, C., Grilli, L. (2011). Differential variability of test scores amongschools: a multilevel analysis of the fifth-grade Invalsi...
  • [55] Schmidt-Catran, A.W., Fairbrother, M. (2016). The Random Effects inMultilevel Models: Getting Them Wrong and Getting Them Right.EuropeanSociological...
  • [56] Schoeneberger, J. A. (2016). The impact of sample size and otherfactors when estimating multilevel logistic models.Journal of ExperimentalEducation,84,...
  • [57] Snijders, T.A.B., Berkhof, J. (2008). Diagnostic checks for multilevelmodels, in Jan de Leeuw and Erik Meijer (Eds.),Handbook of MultilevelAnalysis,...
  • [58] Snijders, T.A.B., Bosker, R.J. (2012).Multilevel Analysis: an Introductionto Basic and Advanced Multilevel Modelling. 2nd edition. Sage.
  • [59] Skrondal, A., Rabe-Hesketh, S. (2008). Multilevel and Related ModelsforLongitudinal Data, in J. de Leeuw, E. Meijer (eds.),Handbook of...
  • [60] Skrondal, A., Rabe-Hesketh, S. (2014). Protective estimation ofmixed-effects logistic regression when data are not missing at...
  • [61] Stapleton, L.M., Kang, Y. (2016). Design Effects of Multilevel EstimatesFrom National Probability Samples.Sociological Methods &...
  • [62] Stegmueller, D. (2013). How Many Countries for Multilevel Modeling?AComparison of Frequentist and Bayesian Approaches.American Journal...
  • [63] Tranmer, M., Steel, D. G. (2001). Ignoring a Level in a Multilevel Model:Evidence from UK Census Data,Environment and Planning A,33,...
  • [64] Tranmer, M., Steel, D., Browne, W.J. (2014). Multiple-membershipmultiple-classification models for social network and group dependences.Journal...
  • [65] Tranmer, M., Pallotti, F., Lomi, A. (2016). The embeddedness oforganizational performance: Multiple Membership Multiple ClassificationModels...
  • [66] Tutz, G., Oelker, M.-R. (2016). Modelling Clustered Heterogeneity: FixedEffects, Random Effects and Mixtures.International Statistical...
  • [67] van Buuren, S. (2012).Flexible Imputation of Missing Data. Chapman &Hall/CRC
  • [68] Vermunt, J.K. (2003). Multilevel latent class models.Sociologicalmethodology,33, 213–239.
  • [69] Vidotto, D., Kaptein, M. C., Vermunt, J. K. (2015). Multiple imputation ofmissing categorical data using latent class models: State of...
  • [70] Wolff Smith, L. J., Beretvas, S. N. (2014). The impact of using incorrectweights with the multiple membership random effects model.Methodology,10,...
  • [71] Wooldridge, J.M., (2010).Econometric Analysis of Cross Section and PanelData, second edition. MIT Press.