Journal article
The Robustness and Applicability of Speed-Accuracy Decomposition, a Technique for Measuring Partial Information
Psychological methods, v 2(1), pp 95-120
01 Mar 1997
Abstract
Speed-accuracy decomposition (SAD) is a relatively new technique for studying the time course of information processing. It uses information on both the temporal distributions and the accuracies of participants' responses to two types of trials to derive an estimate of the amount of partial information available to participants at specific points in processing. As a new technique, its range of applicability and robustness have not yet been fully determined. Simulations are reported here that investigate these issues, with simulated data sets, SAD analysis of same, and comparison of the SAD analysis results to the parameters used to generate the data. In general, SAD appears to be reasonably robust against certain violations of assumptions and a variety of unusual data patterns. It is recommended that future SAD studies be accompanied by simulations based on observed parameters to better understand the data obtained.
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Details
- Title
- The Robustness and Applicability of Speed-Accuracy Decomposition, a Technique for Measuring Partial Information
- Creators
- Roderick W Smith - Department of Psychology, University of Colorado at BoulderJohn Kounios - University of PennsylvaniaLee Osterhout - University of Washington
- Publication Details
- Psychological methods, v 2(1), pp 95-120
- Publisher
- American Psychological Association
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:A1997WN67600006
- Scopus ID
- 2-s2.0-0346674090
- Other Identifier
- 991020548385904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Psychology, Multidisciplinary