Multilevel modeling for psychologists

StatusPost-Print
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Authors
Nezlek, John
Monograph
APA handbook of research methods in psychology: Data analysis and research publication
Monograph (alternative title)
Editor
Cooper, H., Coutanche, M. N., McMullen, L. M., Panter, A. T., Rindskopf, D., & Sher, K. J.
Date
2023
Place of publication
Washington, DC
Publisher
American Psychological Association
Journal title
APA handbook of research methods in psychology: Data analysis and research publication (Vol. 3) (2nd ed.).
Volume
3
Pages
219-242
DOI
ISSN
ISBN
1433841355
1433841363
9781433841354
9781433841361
eISBN
Series
APA handbooks in psychology
Series number
3
ISSN of series
Weblink
https://psycnet.apa.org/PsycBOOKS/toc/17322
Access date
2024-02-03
Remarks
Abstract PL
Abstract EN
This chapter provides an introduction to multilevel modeling (MLM) that can serve as a basis or starting point for reading and writing articles. It explains the basics of multilevel analysis and increases readers' awareness of the multilevel perspective so that they might recognize the multilevel features of the data they have collected and formulate research questions that might involve multilevel data. The chapter provides a rationale for MLM, why it is necessary, its advantages over other techniques, and so forth. It describes the basic structure of univariate multilevel analyses: the nature of the models and the types of parameters they can estimate, and how to conduct multilevel analyses, including different aspects of analyses such as centering, modeling error, weighted analyses, and categorical independent and dependent measures. The chapter also offers suggestions about how to interpret the results of analyses and how to report results in papers. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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Institute of psychology
Instytut Psychologii
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https://share.swps.edu.pl/handle/swps/486
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post-print / Author's Accepted Manuscript (AAM)
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closedaccess
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