PL EN


2010 | 52 | 3 | 229-242
Article title

USING MULTILEVEL MODELLING IN THE ANALYSIS OF EXPERIMENTAL DATA: CUMULATIVE EFFECTS OF STRUCTURAL PRIMING IN CHILDREN

Authors
Title variants
Languages of publication
EN
Abstracts
EN
Multilevel modelling is a flexible alternative to the traditional factorial ANOVA approach in the analysis of experimental data with repeated measures. This article describes a psycholinguistic experiment and provides a detailed account of the data analysis, demonstrating the use of multilevel models to include a continuous predictor and complex assumptions about error variance. The experiment investigated the effects of structural priming on reaction times in a word monitoring task. Pairs of sentences with identical or different syntactic structures were presented to 4- and 5-year-old children, whose task was to respond to a word presented in the second sentence. Multilevel modelling analysis revealed an interaction between the experimental condition and position of the trial within the experiment: the reaction times in the same-structure condition decreased over the course of the experiment, while they increased in the different-structure condition. The analysis demonstrates how can be used multilevel models to detect change in responses over the course of an experimental session.
Year
Volume
52
Issue
3
Pages
229-242
Physical description
Document type
ARTICLE
Contributors
  • Filip Smolik, Psychologicky ustav AV CR, Politickych veznu 7, 110 00, Praha 1, Czech Republic
References
Document Type
Publication order reference
Identifiers
CEJSH db identifier
11SKAAAA093622
YADDA identifier
bwmeta1.element.9f9c97ff-d25a-3384-ac5b-74cbe12c1576
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