TITLE

APPLICATIONS OF HIERARCHICAL LINEAR MODELS TO MULTI-LEVEL DATA

AUTHOR(S)
Hofmann, David A.; Griffin, Mark
PUB. DATE
August 1992
SOURCE
Academy of Management Best Papers Proceedings;1992, p327
SOURCE TYPE
Conference Proceeding
DOC. TYPE
Proceeding
ABSTRACT
Hierarchical linear models provide a flexible method for investigating multi-level data. This strategy uses statistical summaries of within- unit relationships as dependent variables in between-unit analysis. This paper reviews these procedures and illustrates substantive applications in the areas of individual change and organizational influences on individual attitudes.
ACCESSION #
17516119

 

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