A Tutorial for Analyzing Human Reaction Times: How to Filter Data, Manage Missing Values, and Choose a Statistical Model

Autor/inn/en	Lachaud, Christian Michel; Renaud, Olivier
Titel	A Tutorial for Analyzing Human Reaction Times: How to Filter Data, Manage Missing Values, and Choose a Statistical Model
Quelle	In: Applied Psycholinguistics, 32 (2011) 2, S.389-416 (28 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0142-7164
DOI	10.1017/S0142716410000457
Schlagwörter	Reaction Time; Researchers; Statistical Analysis; Psychology; Research Methodology; Comparative Analysis; Benchmarking; Robustness (Statistics) + Suchen Sie Ihr Suchwort? Reaktionsvermögen; Researcher; Forscher; Statistische Analyse; Psychologie; Research method; Forschungsmethode; Widerstandsfähigkeit
Abstract	This tutorial for the statistical processing of reaction times collected through a repeated-measure design is addressed to researchers in psychology. It aims at making explicit some important methodological issues, at orienting researchers to the existing solutions, and at providing them some evaluation tools for choosing the most robust and precise way to analyze their data. The methodological issues we tackle concern data filtering, missing values management, and statistical modeling (F1, F2, F1 + F2, quasi-F, mixed-effects models with hierarchical, or with crossed factors). For each issue, references and remedy suggestions are given. In addition, modeling techniques are compared on real data and a benchmark is given for estimating the precision and robustness of each technique. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10