An Introduction to Hierarchical Linear Modeling for Marketing Researchers

@inproceedings{Wech2004AnIT,
  title={An Introduction to Hierarchical Linear Modeling for Marketing Researchers},
  author={Barbara Wech and A L Heck},
  year={2004}
}
Organizations are hierarchical in nature. Specifically, individuals in the workplace are entrenched in work groups, which are entrenched in departments, which are entrenched in organizations, which are entrenched in the larger environment. Hence, hierarchical linear modeling (HLM) is a statistical technique available to researchers that is ideally suited for the study of cross-level issues. The purpose of this article is to provide marketing researchers with an overview and detailed description… CONTINUE READING

From This Paper

Topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-7 OF 7 REFERENCES

Centering decisions in hierarchical linear models: Implications for research in organizations

  • DA Hofmann, MB Gavin
  • Journal of Management,
  • 1998
Highly Influential
3 Excerpts

Cross-functional product development teams, creativity, and the innovativeness of new consumer products

  • R Sethi, DC Smith, CW Park
  • Journal of Marketing Research,
  • 2001

New product quality and product development teams

  • R Sethi
  • Journal of Marketing,
  • 2000
1 Excerpt

An overview of the logic and rationale of hierarchical linear models

  • DA Hofmann
  • Journal of Management
  • 1997
2 Excerpts

The effect of different forms of centering in Hierarchical Linear Models

  • I GGKreft, J de Leeuw, LS Aiken
  • Multivariate Behavioral Research,
  • 1995

Methodology for cross- level organizational research

  • AS Bryk, SW Raudenbush
  • Psychological Bulletin,
  • 1989
2 Excerpts

Similar Papers

Loading similar papers…