Multilevel Analysis/Hierarchical Linear Modeling
Edpsych/Psych/Stat 587
C.J. Anderson
Fall 2017

Last revised: Decmeber 12, 2017

  • General Information
  • Announcements
  • Course Resources (computing mostly)
  • Lecture notes
  • Computer Lab
  • Homework
  • Examples of Papers that Use Multilevel Models
  • Example analyses
  • Handy program and links

  • Questions or problems regarding this site should be sent to cja@illinois.edu.


      General Information :

    Announcements: Lectures Notes: (I up-date these throughout the semester)

  • Longitudinal Data and HLM. Note that data in this lecture and next is from data from Hedeker web-site and web-site for Hedeker & Gibbons book on longitudinal data analysis.

  • Serial Correlation..
    Computer Lab Sessions: Bring laptop

  • Homework


    Examples of Papers that Use Multilevel Models


    Example SAS Programs (ascii/text format): Examples from Snijders & Bosker using SAS
    • MLbook.sas. Create SAS data for examples in Chapters 4 and 5.
    • Ch4_examples.sas. Example 2-level analyses from Chapter 4 (random intercept models).
    • Ch5_examples.sas. Example 2-level analyses from Chapter 5 (random intercept and slopes).
    • Ch12_examples.sas. Examples analyses from Chapter 12 (longitudinal data analysis), including creating sas dataset.
  • Examples from Chapter 4 of Kreft & de Leeuw (provided and written by Carol Nickerson):
    • School23.sas. SAS code that creates data set and fits models reported in Kreft & de Leeuw.
    • school23.dat. Raw data file that is used as input to school23.sas.
    Handy Programs and Links:
    • Ones specific to multilevel modeling:
    • General ones:
      • CIforP.f: A FORTRAN program that computes large sample confidence intervals for a proportion.
      • pvalue.f: A FORTRAN program that computes p-values and (bonferroni) critical values for the standard normal, chi-squared, t, and F distributions (and for correlations). For users of PC type computers, pvalue.exe is an executable (i.e. already compiled) program.