Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18470
Title: Advanced Statistics for Environment Behavior Research: Multi-level Modeling and Structural Equation Modeling
Contributor(s): Hine, Don W  (author)orcid ; Corral-Verdugo, Victor (author); Bhullar, Navjot  (author)orcid ; Frias-Armenta, Maria (author)
Publication Date: 2016
Handle Link: https://hdl.handle.net/1959.11/18470
Abstract: 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.
Publication Type: Book Chapter
Source of Publication: Research Methods for Environmental Psychology, p. 369-388
Publisher: John Wiley & Sons Ltd
Place of Publication: Chichester, United Kingdom
ISBN: 9781118795385
9781118795330
9781118795415
9781118795453
Fields of Research (FoR) 2008: 170110 Psychological Methodology, Design and Analysis
170113 Social and Community Psychology
Fields of Research (FoR) 2020: 520105 Psychological methodology, design and analysis
Socio-Economic Objective (SEO) 2008: 970117 Expanding Knowledge in Psychology and Cognitive Sciences
969999 Environment not elsewhere classified
Socio-Economic Objective (SEO) 2020: 280121 Expanding knowledge in psychology
HERDC Category Description: B1 Chapter in a Scholarly Book
Publisher/associated links: http://trove.nla.gov.au/version/217167258
Editor: Editor(s): Robert Gifford
Appears in Collections:Book Chapter

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