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Titlebook: State-Trace Analysis; John C. Dunn,Michael L. Kalish Book 2018 Springer International Publishing AG, part of Springer Nature 2018 State-tr

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发表于 2025-3-21 17:16:47 | 显示全部楼层 |阅读模式
书目名称State-Trace Analysis
编辑John C. Dunn,Michael L. Kalish
视频video
概述Provides a comprehensive overview of State-Trace Analysis.Discusses the mathematical foundations of State-Trace.Offers detailed instructions on how to perform State-Trace Analysis
丛书名称Computational Approaches to Cognition and Perception
图书封面Titlebook: State-Trace Analysis;  John C. Dunn,Michael L. Kalish Book 2018 Springer International Publishing AG, part of Springer Nature 2018 State-tr
描述.This book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs.  The book offers instructions on how to perform state-trace analysis using the authors‘ own publicly-available software in both Matlab and R. ..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. .
出版日期Book 2018
关键词State-trace analysis; Coupled monotonic regression; Functional dissociation; Dimensional theory; Reverse
版次1
doihttps://doi.org/10.1007/978-3-319-73129-2
isbn_softcover978-3-319-73128-5
isbn_ebook978-3-319-73129-2Series ISSN 2510-1889 Series E-ISSN 2510-1897
issn_series 2510-1889
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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2510-1889 on how to perform State-Trace Analysis.This book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs.  The book offers instructions on how to perform state-trace analysis usin
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Functional Dissociation implications of this logic in the context of an illustrative experiment. The results of the experiment reveal both interactions and double dissociation in the context of a one-dimensional state-trace. This shows the importance of replacing linearity with monotonicity in diagnosing the latent structure.
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Final Commentsent variables. Second, we discuss the question of characterizing the latent variables revealed by STA or SDA. Third, we discuss the question of model complexity—where low-dimensional models are necessarily nested in higher-dimensional models.
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Monotonicityon on the form of the output mapping. We argue that monotonicity is the weakest sufficient constraint. First, monotonicity strikes an appropriate balance between generality on the one hand and tractability on the other hand. Second, while it may be desirable to adopt a more restrictive assumption th
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