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

Lawrence Locker, Lesa Huffman, James A. Bovaird

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

The use of multilevel modeling is presented as an alternative to separate item and subject ANOVAs (F1 × 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.

Original languageEnglish (US)
Pages (from-to)723-730
Number of pages8
JournalBehavior Research Methods
Volume39
Issue number4
DOIs
StatePublished - Nov 2007

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Psychology (miscellaneous)
  • Psychology(all)

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