Using multilevel modeling in the analysis of experimental data: cumulative effects of structural priming in children

0350592 - PSÚ 2011 RIV SK eng J - Článek v odborném periodiku
Smolík, Filip
Using multilevel modeling in the analysis of experimental data: cumulative effects of structural priming in children.
Studia Psychologica. Roč. 52, č. 3 (2010), s. 229-242. ISSN 0039-3320
Výzkumný záměr: CEZ:AV0Z70250504
Klíčová slova: sentence production * syntactic persistence * language production
Kód oboru RIV: AN - Psychologie
Impakt faktor: 0.254, rok: 2010

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 valiance 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.
Trvalý link: http://hdl.handle.net/11104/0190553