Browsing All Posts filed under »Mixed Effects Modeling«

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

February 7, 2012

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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

From SPSS Switzerland

January 19, 2012

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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. http://www.spss.ch/upload/1107355943_LinearMixedEffectsModelling.pdf

SPSS MIXED

January 12, 2011

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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 || emromesco@gmail.com

Mixed Models with R

September 3, 2010

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http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-mixed-models.pdf  

A mixed model for trend analysis

December 19, 2007

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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

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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 […]