References

Logo influence.ME

  • Bates, D., Maechler, M., and Dai, B. (2008). lme4: Linear mixed-effects models using S4 classes. R package version 0.999375-28.
  • Belsley, D.A., Kuh, E. & Welsch, R.E. (1980). Regression Diagnostics. Identifying Influential Data and Source of Collinearity. Wiley.
  • Cook, R. D. (1977). Detection of influential observation in linear regression. Technometrics, 19(1):15–18.
  • Kreft, I. and De Leeuw, J. (1998). Introducing Multilevel Modelling. Sage Publications.
  • Langford, I. H. and Lewis, T. (1998). Outliers in multilevel data. Journal of the Royal Statistical Society: Series A (Statistics in Society), 161:121–160.
  • Meer, T. Van der, Te Grotenhuis, M. & Pelzer, B. Inluential cases in multi-level modeling. A methodological comment on ’National context, religiosity, and volunteering’ by Ruiter and De Graaf. Current status: Accepted for publication in the American Sociological Review.
  • Snijders, T.A. & Bosker, R.J. (1999). Multilevel Analysis, an introduction to basic and advanced multilevel modeling. Sage.