On the use of multilevel modeling as an alternative to items analysis in psycholinguistic research

The use of multilevel modeling is presented as an alternative to separate item and subject ANOVAs (F1 x F2) in psycholinguistic research. Multilevel modeling is commonly utilized to model variability arising from the nesting of lower level observations within higher level units (e.g., students withi...

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Bibliographic Details
Published in:Behavior research methods Vol. 39; no. 4; pp. 723 - 730
Main Authors: Locker, Jr, Lawrence, Hoffman, Lesa, Bovaird, James A
Format: Journal Article
Language:English
Published: United States Psychonomic Society, Inc 01.11.2007
Subjects:
Computer Modeling and Simulation
Data analysis
Humans
Linguistics
Mathematical models
Measures
Models, Statistical
Phonetics
Psycholinguistics
Psycholinguistics - methods
Psycholinguistics - statistics & numerical data
Psychology
Random effects
Research Design
Research Subjects
Response time
Statistical Analysis
Studies
Vocabulary
ISSN:1554-351X, 1554-3528
Online Access:Get full text
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Summary:The use of multilevel modeling is presented as an alternative to separate item and subject ANOVAs (F1 x F2) in psycholinguistic research. Multilevel modeling is commonly utilized to model variability arising from the nesting of lower level observations within higher level units (e.g., students within schools, repeated measures within individuals). However, multilevel models can also be used when two random factors are crossed at the same level, rather than nested. The current work illustrates the use of the multilevel model for crossed random effects within the context of a psycholinguistic experimental study, in which both subjects and items are modeled as random effects within the same analysis, thus avoiding some of the problems plaguing current approaches.
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ISSN:1554-351X
1554-3528
DOI:10.3758/BF03192962