Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd Edition)

REFERENCES

• Asparouhov , T. 2006 . General multilevel modeling with sampling weights . Communications in Statistics: Theory and Methods , 35 : 439 – 460 .
   Web of Science ®Google Scholar
• Bates , D. M. 2010 . lme4: Mixed-effects modeling with R Retrieved from http://lme4.r-forge.r-project.org/book/
   Google Scholar
• Borsboom , D. , Mellenbergh , G. J. and Van Heerden , J. 2003 . The theoretical status of latent variables . Psychological Review , 110 : 203 – 219 .
   PubMed Web of Science ®Google Scholar
• Browne , W. J. , Lahi , M. G. and Parker , R. M. A. 2009 . A guide to sample size calculations for random effects models via simulation and the MLPowSim software package. Bristol , , UK : University of Bristol. .
   Google Scholar
• Bryk , A. S. , Raudenbush , S. W. and Congdon , R. T. 1996 . HLM: Hierarchical linear modeling with the HLM/2L and HLM/3L programs. Chicago , IL : Scientific Software International. .
   Google Scholar
• Curran , P. J. and Bauer , D. J. 2011 . The disaggregation of within-person and between-person effects in longitudinal models of change . Annual Review of Psychology , 62 : 583 – 619 .
   PubMed Web of Science ®Google Scholar
• Hedeker , D. and Gibbons , R. D. 1996a . MIXOR: A computer program for mixed-effects ordinal regression analysis . Computer Methods and Programs in Biomedicine , 49 : 157 – 176 .
   PubMed Web of Science ®Google Scholar
• Hedeker , D. and Gibbons , R. D. 1996b . MIXREG: A computer program for mixed-effects regression analysis with autocorrelated errors . Computer Methods and Programs in Biomedicine , 49 : 229 – 252 .
   PubMed Web of Science ®Google Scholar
• Hedeker , D. and Gibbons , R. D. 2006 . Longitudinal data analysis. New York , NY : Wiley. .
   Google Scholar
• Hofer , S. and Sliwinski , M. 2001 . Understanding ageing: An evaluation of research designs for assessing the interdependence of age-related changes . Gerontology. , 47 : 341 – 352 .
   PubMed Web of Science ®Google Scholar
• Hoffman , L. and Stawski , R. 2009 . Persons as contexts: Evaluating between-person and within-person effects in longitudinal analysis . Research in Human Development , 6 : 97 – 120 .
   Web of Science ®Google Scholar
• Jackman , S. 2009 . “ Bayesian analysis of choice making. ” . In Bayesian analysis for the social sciences. Chichester , , UK : Wiley. .
   Google Scholar
• Little , R. J. A. and Rubin , D. B. 2002 . Statistical analysis with missing data, , 2nd ed. New York , NY : Wiley. .
   Google Scholar
• Lunn , D. J. , Thomas , A. , Best , N. and Spiegelhalter , D. 2000 . WinBUGS—A Bayesian modeling framework: Concepts, structure, and extensibility . Statistics and Computing , 10 : 325 – 337 .
   Web of Science ®Google Scholar
• Mehta , P. D. and West , S. G. 2000 . Putting the individual back into individual growth curves . Psychological Methods , 5 : 23 – 43 .
   PubMed Web of Science ®Google Scholar
• Miyazaki , Y. and Raudenbush , S. W. 2000 . A test for linkage of multiple cohorts from an accelerated longitudinal design . Psychological Methods , 5 : 44 – 63 .
   PubMed Web of Science ®Google Scholar
• Molenaar , P. C. M. 2004 . A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever . Measurement , 2 : 201 – 218 .
   Google Scholar
• Muthén , L. K. and Muthén , B. O. 2010 . Mplususer's guide, , 6th ed. Los Angeles , CA : Muthén and Muthén. .
   Google Scholar
• Pfeffermann , D. 1993 . The role of sampling weights when modeling survey data . International Statistical Review , 61 : 317 – 337 .
   Web of Science ®Google Scholar
• Pfefferman , D. , Skinner , C. J. , Holmes , D. J. , Goldstein , H. and Rasbash , J. 1998 . Weighting for unequal selection probabilities in multilevel models . Journal of Royal Statistical Society, Series B , 60 : 23 – 40 .
   Google Scholar
• Pinheiro , J. C. and Bates , D. M. 1995 . Approximations to the log-likelihood function in nonlinear mixed-effects models . Journal of Computational and Graphical Statistics , 4 : 12 – 35 .
   Google Scholar
• Rabash , J. and Woodhouse , G. 1995 . MLn: Command references. London , , UK : Multilevel Models Project, Institute of Education, University of London. .
   Google Scholar
• Raghunathan , T. E. , Lepkowski , J. M. , van Hoewyk , J. and Solenberger , P. 2001 . A multivariate technique for multiply imputing missing values using a series of regression models . Survey Methodology , 27 : 85 – 96 .
   Google Scholar
• Raudenbush , S. W. and Bryk , A. S. 2002 . Hierarchical linear models: Applications and data analysis methods, , 2nd ed. Newbury Park , CA : Sage. .
   Google Scholar
• Robinson , W. S. 1950 . Ecological correlations and the behavior of individuals . American Sociological Review , 15 : 351 – 357 .
   Web of Science ®Google Scholar
• Schafer , J. L. 1997 . Analysis of incomplete multivariate data. London , , UK : Chapman & Hall. .
   Google Scholar
• Schafer , J. L. and Graham , J. W. 2002 . Missing data: Our view of the state of the art . Psychological Methods , 7 : 147 – 177 .
   PubMed Web of Science ®Google Scholar
• Singer , J. D. and Willett , J. B. 2003 . Applied longitudinal data analysis: Modeling change and event occurrence. New York , NY : Oxford University Press. .
   Google Scholar
• Sliwinski , M. , Hoffman , L. and Hofer , S. 2010 . Evaluating convergence of within-person change and between-person age differences in age-heterogeneous longitudinal studies . Research on Human Development , 7 : 45 – 60 .
   PubMed Web of Science ®Google Scholar
• Snijders , T. A. B. and Bosker , R. J. 1993 . Standard errors and sample sizes for two-level models . Sociological Methods and Research , 22 : 342 – 363 .
   Google Scholar
• Spybrook , J. , Raudenbush , S. W. , Congdon , R. and Martinez , A. 2009 . Optimal design for longitudinal multilevel research: Documentation for the Optimal Design software, version 2.0. Ann Arbor , MI : University of Michigan. .
   Google Scholar
• Vermunt , J. K. and Magidson , J. 2005a . Latent GOLD 4.0 user's guide. Belmont , MA : Statistical Innovations. .
   Google Scholar
• Vermunt , J. K. and Magidson , J. 2005b . Technical guide for Latent GOLD 4.0: Basic and advanced. Belmont , MA : Statistical Innovations. .
   Google Scholar
• Walls , T. A. and Schafer , J. L. 2006 . Models for intensive longitudinal data. New York , NY : Oxford University Press. .
   Google Scholar