APPLICATIONS OF HIERARCHICAL LINEAR MODELS TO MULTI-LEVEL DATA.

1 August 1992

journal article
Published by Academy of Management in Academy of Management Proceedings

Vol. 1992 (1) , 327-331
https://doi.org/10.5465/ambpp.1992.17516119

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.

Keywords

FLEXIBLE
ILLUSTRATES
SUBSTANTIVE
PROCEDURES
SUMMARIES
ATTITUDES
LEVEL DATA
HIERARCHICAL LINEAR MODELS

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