Statistical Methodology for the Analysis of Repeated Duration Data in Behavioral Studies

Autor/inn/en	Letué, Frédérique; Martinez, Marie-José; Samson, Adeline; Vilain, Anne; Vilain, Coriandre
Titel	Statistical Methodology for the Analysis of Repeated Duration Data in Behavioral Studies
Quelle	In: Journal of Speech, Language, and Hearing Research, 61 (2018) 3, S.561-582 (22 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1092-4388
DOI	10.1044/2017_JSLHR-S-17-0135
Schlagwörter	Behavioral Science Research; Research Methodology; Statistical Analysis; Repetition; Mixed Methods Research; Models; Goodness of Fit; Simulation; Statistical Data; Graphs; Speech; Nonverbal Communication + Suchen Sie Ihr Suchwort? Research method; Forschungsmethode; Statistische Analyse; Wiederholung; Analogiemodell; Simulation program; Simulationsprogramm; Grafische Darstellung; Speaking; Sprechen; Non-verbal communication; Nonverbale Kommunikation
Abstract	Purpose: Repeated duration data are frequently used in behavioral studies. Classical linear or log-linear mixed models are often inadequate to analyze such data, because they usually consist of nonnegative and skew-distributed variables. Therefore, we recommend use of a statistical methodology specific to duration data. Method: We propose a methodology based on Cox mixed models and written under the R language. This semiparametric model is indeed flexible enough to fit duration data. To compare log-linear and Cox mixed models in terms of goodness-of-fit on real data sets, we also provide a procedure based on simulations and quantile-quantile plots. Results: We present two examples from a data set of speech and gesture interactions, which illustrate the limitations of linear and log-linear mixed models, as compared to Cox models. The linear models are not validated on our data, whereas Cox models are. Moreover, in the second example, the Cox model exhibits a significant effect that the linear model does not. Conclusions: We provide methods to select the best-fitting models for repeated duration data and to compare statistical methodologies. In this study, we show that Cox models are best suited to the analysis of our data set. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01