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Record Nr. |
UNINA9910298068203321 |
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Autore |
Dunn John C |
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Titolo |
State-Trace Analysis / / by John C. Dunn, Michael L. Kalish |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (126 pages) |
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Collana |
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Computational Approaches to Cognition and Perception, , 2510-1889 |
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Disciplina |
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Soggetti |
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Cognitive psychology |
Psychology—Methodology |
Psychological measurement |
Psychology, Experimental |
Cognitive Psychology |
Psychological Methods/Evaluation |
Experimental Psychology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Part I: Theory -- Chapter 1. The Logic of State-Trace Analysis -- Chapter 2. Monotonicity -- Chapter 3. Functional Dependence -- Part II: Application -- Chapter 4. Statistical Methodology -- Chapter 5. Mixed Designs with Continuous Dependent Variables -- Chapter 6. Independent Observations with Binary Dependent Variables -- Chapter 7. More Examples -- Part III: Further Topics -- Chapter 8. Bayesian Approaches -- Chapter 9. Final Comments -- Appendix -- References. . |
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Sommario/riassunto |
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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 |
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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. . |
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