State-Trace Analysis / Computational Approaches to Cognition and Perception (PDF)
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The book begins by discussing the general framework for thinking about the relationships between independent variables, latent variables, and dependent variables. Subsequent chapters provide a software package that can be used to fit state-trace models as well as additional designs and examples. The book concludes with a discussion on potential extensions of STA and additional aspects of its application.
State-Trace Analysis will be of interest to researchers and graduate students working in experimental, applied, and cognitive psychology.
Michael L. Kalish, M.S., Ph.D., is a Professor in the Department of Psychology at Syracuse University. He has published in numerous journals, including: Psychological Review, Cognitive Science, and several sections of the Journal of Experimental Psychology. Dr. Kalish's research involves describing the cognitive mechanisms responsible for the nature of human learning and memory, with a particular focus on categorization and dimensional attention.
- Autoren: John C. Dunn , Michael L. Kalish
- 2018, 1st ed. 2018, 123 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319731297
- ISBN-13: 9783319731292
- Erscheinungsdatum: 08.02.2018
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- Dateiformat: PDF
- Grösse: 1.90 MB
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