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Autor/inn/enDomingue, Benjamin W.; Kanopka, Klint; Stenhaug, Ben; Sulik, Michael J.; Beverly, Tanesia; Brinkhuis, Matthieu; Circi, Ruhan; Faul, Jessica; Liao, Dandan; McCandliss, Bruce; Obradovic, Jelena; Piech, Chris; Porter, Tenelle; Soland, James; Weeks, Jon; Wise, Steven L.; Yeatman, Jason
TitelSpeed-Accuracy Trade-Off? Not so Fast: Marginal Changes in Speed Have Inconsistent Relationships with Accuracy in Real-World Settings
QuelleIn: Journal of Educational and Behavioral Statistics, 47 (2022) 5, S.576-602 (27 Seiten)Infoseite zur Zeitschrift
PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit 
ZusatzinformationORCID (Domingue, Benjamin W.)
ORCID (Brinkhuis, Matthieu)
ORCID (Soland, James)
Weitere Informationen
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1076-9986
DOI10.3102/10769986221099906
SchlagwörterAccuracy; Reaction Time; Task Analysis; College Entrance Examinations; Correlation; Test Items; Item Analysis; Predictor Variables; Observation; Cognitive Ability; SAT (College Admission Test)
AbstractThe speed-accuracy trade-off (SAT) suggests that time constraints reduce response accuracy. Its relevance in observational settings--where response time (RT) may not be constrained but respondent speed may still vary--is unclear. Using 29 data sets containing data from cognitive tasks, we use a flexible method for identification of the SAT (which we test in extensive simulation studies) to probe whether the SAT holds. We find inconsistent relationships between time and accuracy; marginal increases in time use for an individual do not necessarily predict increases in accuracy. Additionally, the speed-accuracy relationship may depend on the underlying difficulty of the interaction. We also consider the analysis of items and individuals; of particular interest is the observation that respondents who exhibit more within-person variation in response speed are typically of lower ability. We further find that RT is typically a weak predictor of response accuracy. Our findings document a range of empirical phenomena that should inform future modeling of RTs collected in observational settings. [This work was co-written by the Project iLEAD Consortium.] (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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