Reliability and Feasibility of Linear Mixed Models in Fully Crossed Experimental Designs

Scandola, M. and Tidoni, E. orcid.org/0000-0001-9079-2862 (2024) Reliability and Feasibility of Linear Mixed Models in Fully Crossed Experimental Designs. Advances in Methods and Practices in Psychological Science, 7 (1). ISSN 2515-2459

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Item Type: Article
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© The Author(s) 2024. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY-NC 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: linear mixed models; model reduction; random effects; Type I error inflation; complex random intercepts
Dates:
  • Published: January 2024
  • Published (online): 9 February 2024
  • Accepted: 10 October 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 29 May 2024 14:09
Last Modified: 29 May 2024 14:09
Status: Published
Publisher: SAGE Publications
Identification Number: 10.1177/25152459231214454
Open Archives Initiative ID (OAI ID):

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