Browsing All Posts filed under »Mixed Effects Modeling«

Reference for Use of Linear Mixed Models for Cross-over (Counter-balanced) designs

February 7, 2012


Check Chapter 8 of: Berger, M.P.F., & Wong, W.K. (2009). An introduction to optimal designs for social and biomedical research. Chichester, UK: Wiley. Alternative Link Advertisements

From SPSS Switzerland

January 19, 2012


A little nugget I found doing a search on “interpretation of rho in AR1″…(NOTE it opens a .pdf file on a new window). Technical Report : Linear mixed effects modeling in SPSS® An Introduction to the MIXED Procedure.


January 12, 2011


Links to the materials for the workshop at the Ministry of Children and Youth Services 12 Jan 2011 MIXED EFFECTS MODELING USING SPSS <- Handout SLIDES Mixed effects modeling using spss <- SLIDES Datasets glm_example.sav BrykRauden_HighSchool&Beyond.sav wide.sav long.sav dep.sav E.M. Romero Escobar ||

Mixed Models with R

September 3, 2010


A mixed model for trend analysis

December 19, 2007


I am working on my first application of PROC MIXED on actual data. I offered to help a professor with trend analysis for a longitudinal study on utterances of infants/toddlers from different linguistic and geographic groups. The n for each group is different and there is attrition at each step. I asked her and her […]

Why Mixed Reviews…

March 9, 2007


Back in 2007, when I started learning Mixed Effect Modeling using SAS PROC MIXED I kept repeating in my head the phrase “mixed reviews”, as that was what I felt to write about using multilevel modeling for clustered data. I am still using mixed effects (a.k.a., HLM or multilevel modeling) to analyse data, particularly longitudinal […]