Mixed-Effects Models for Cognitive Development Researchers

Autor/inn/en	Muradoglu, Melis; Cimpian, Joseph R.; Cimpian, Andrei
Titel	Mixed-Effects Models for Cognitive Development Researchers
Quelle	In: Journal of Cognition and Development, 24 (2023) 3, S.307-340 (34 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Muradoglu, Melis) ORCID (Cimpian, Joseph R.) ORCID (Cimpian, Andrei)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1524-8372
DOI	10.1080/15248372.2023.2176856
Schlagwörter	Cognitive Development; Models; Programming Languages; Psychologists; Scientific Research; Measurement; Troubleshooting; Research Methodology + Suchen Sie Ihr Suchwort? Kognitive Entwicklung; Analogiemodell; Psychologist; Psychologe; Psychologin; Messverfahren; Störfall; Research method; Forschungsmethode
Abstract	Mixed-effects models are an analytic technique for modeling repeated measurement or nested data. This paper explains the logic of mixed-effects modeling and describes two examples of mixed-effects analyses using R. The intended audience of the paper is psychologists who specialize in cognitive development research. Therefore, the concepts and examples covered will focus primarily on repeated-measurement data resulting from studies in which participants respond to multiple items or trials. However, many of the concepts and examples we cover will likely be of use to readers outside this area of psychology. Finally, we discuss recommendations for dealing with practical challenges, suggest approaches for troubleshooting, and provide guidance on reporting results from mixed-effects models. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01