Advanced Statistics for Environment‐ Behavior Research: Multi-level Modeling and Structural Equation Modeling

Donald W. Hine, Victor Corral-Verdugo, Navjot Bhullar, Martha Frias-Armenta

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Scopus citations


This chapter serves as a conceptual introduction to two advanced statistical procedures that are becoming increasingly influential in environment‐behavior research: multi‐level modeling and structural equation modeling. The chapter is intended for researchers and graduate students who have a basic background in statistics but are not familiar with more advanced approaches to multivariate modeling. The chapter is organized into two parts. The first part focuses on multi‐level modeling, introducing basic principles and highlighting practical issues associated with designing studies and conducting analyses. The second part focuses on structural equation modeling and follows a similar format.
Original languageSpanish (Mexico)
Title of host publicationResearch methods for environmental psychology
Number of pages20
ISBN (Electronic)9781119162124
ISBN (Print)9781119162124
StatePublished - 2016

Publication series

NameResearch methods for environmental psychology

Bibliographical note

Publisher Copyright:
© 2016 John Wiley & Sons, Ltd. All rights reserved.


  • Advanced statistical procedures
  • Confirmatory factor analysis
  • Environment-behavior research
  • Multi-level modeling
  • Path analysis
  • Structural equation modeling

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