Hlm: Hierarchical Linear Models

Gerri Henderson, Northwestern University, USA
Adam Duhachek, Indiana University, USA
Jim Oakley, University of North Carolina, USA
Steve Hoeffler, Steve Posavac, Simona Botti, Katherine A. Burson, Pankaj Aggarwal, Vanderbilt University, USA; Vanderbilt University, USA; London Business School, UK; University of Michigan, USA; University of Toronto, Canada
HLM, or Hierarchical Linear Models, are a technique that marketing scholars might hear more and more about, e.g., through their Org Science colleagues, and might also increasingly find useful in their own research. The models are primarily intended to help meld together data that represent different units of analysis, usually individuals and groups. The concepts aren't that difficult, and there is some choice among software. Come to expand your geekness.
[ to cite ]:
Gerri Henderson, Adam Duhachek, Jim Oakley, and Steve Hoeffler, Steve Posavac, Simona Botti, Katherine A. Burson, Pankaj Aggarwal (2009) ,"Hlm: Hierarchical Linear Models", in NA - Advances in Consumer Research Volume 36, eds. Ann L. McGill and Sharon Shavitt, Duluth, MN : Association for Consumer Research, Pages: 816-816.