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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081740%3A_____%2F10%3A00350592" target="_blank" >RIV/68081740:_____/10:00350592 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Using multilevel modeling in the analysis of experimental data: cumulative effects of structural priming in children
Original language description
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.
Czech name
—
Czech description
—

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AN - Psychology
OECD FORD branch
—

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)