Multilevel Analysis, TT 2012

This is website http://www.stats.ox.ac.uk/~snijders/mulev_course.htm.

The course Multilevel Analysis in the Department of Politics and International Relations, University of Oxford, is taught by Tom Snijders.

This website contains materials for the course.

This course is part of the methodology courses offered at the Department of Politics and International Relations of the University of Oxford, and also available to students from other departments. The course is part of the teaching within the Centre for Research Methods in the Social Sciences.

All papers to which links are included in this page, are intended only for personal use by participants in this course.

Meetings

Location: Manor Road Building.

Course Material

  1. The course will be based on
    Tom Snijders & Roel Bosker, Multilevel Analysis: An Introduction to Basic and Applied Multilevel Analysis. 2nd edition. Sage, 2012.
    All participants are requested to have available a copy of this book (2nd edition!).
     At the first meeting, the choice of chapters to be treated will be decided, depending on the interest of the participants.
    Note the website associated to this textbook, with data sets, software scripts, and further material.
  2. slides - handout (updated May 14).
    This is further specified in the lectures.
  3. Presentation from the Centre for Multilevel Modelling, University of Bristol, about three-level models.

Background material

    Tutorials:

  1. A non-technical introduction (not a single formula) to the ideas of multilevel modeling:
    Craig Duncan, Kelvyn Jones, & Graham Moon, Context, composition, and heterogeneity: Using multilevel models in health research, Social Science and Medicine, 46 (1998), 97-117.
  2. Tutorial with examples in R, using nlme and lme4:
    Daniel B. Wright1 and Kamala London, Multilevel modelling: Beyond the basic applications, British Journal of Mathematical and Statistical Psychology, 62 (2009), 439-456.
  3. Hugo Quene and Huub van den Bergh, On multi-level modeling of data from repeated measures designs: a tutorial. Speech Communication, 43 (2004) 103-121.

    4. Some examples of applications of multilevel analysis:

  4. A. Gelman, B. Shor, J. Bafumi, D. Park. Rich state, poor state, red state, blue state: what's the matter with Connecticut? Quart. J. Polit. Sci.,2 (2007), 345-367.
  5. Leonardo Grilli and Carla Rampichini, A multilevel multinomial logit model for the analysis of graduates' skills, Statistical Methods and Applications, 16 (2007), 381-393.
  6. Mark Levels, Jaap Dronkers, and Gerbert Kraaykamp, Immigrant Children's Educational Achievement in Western Countries: Origin, Destination, and Community Effects on Mathematical Performance, American Sociological Review, 73 (2008), 835-853.
  7. Miranda J. Lubbers, Margaretha P.C. Van Der Werf, Tom A.B. Snijders, Bert P.M. Creemers, and Hans Kuyper, The impact of peer relations on academic progress in junior high. Journal of School Psychology, 44 (2006), 491-512.
    (Uses multilevel multinomial logistic regression.)
  8. Dietrich Oberwittler, A Multilevel Analysis of Neighbourhood Contextual Effects on Serious Juvenile Offending; The Role of Subcultural Values and Social Disorganization, European Journal of Criminology, 1 (2004), 201-235.
    See also the correction note to this article in European Journal of Criminology, 2 (2005), 93-97.
  9. Nigel Rice, Roy Carr-Hill, Paul Dixon and Matthew Sutton, The Influence of Households on Drinking Behaviour: A Multilevel Analysis. Social Science and Medicine, 46, 971-979, (1998).
  10. Marcel Simard and Alain Marchand, A multilevel analysis of organisational factors related to the taking of safety initiatives by work groups. Safety Science, 21 (1995), 13-129.
  11. Robert M. Kunovich, Social structural position and prejudice: an exploration of cross-national differences in regression slopes. Social Science Research , 33 (2004), 20-44.