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Studia Psychologica Vol.52, No.3, p.229-242, 2010 |
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Title: USING MULTILEVEL MODELING IN THE ANALYSIS OF EXPERIMENTAL DATA: CUMULATIVE EFFECTS OF STRUCTURAL PRIMING IN CHILDREN | ||
Author: Filip SMOLÍK | ||
Abstract: Multilevel modeling 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 modeling 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 multilevel models can be used to detect change in responses over the course of an experimental session. |
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Keywords: syntactic priming, word monitoring, multilevel models, reaction time | ||
Year: 2010, Volume: 52, Issue: 3 | Page From: 229, Page To: 242 | |
doi:10.4149/studphys_2010_03_229 |
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21.00 €
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