LEADER 03569nam 22006015 450 001 9910298068203321 005 20200704090146.0 010 $a3-319-73129-7 024 7 $a10.1007/978-3-319-73129-2 035 $a(CKB)3840000000347694 035 $a(MiAaPQ)EBC5287224 035 $a(DE-He213)978-3-319-73129-2 035 $a(EXLCZ)993840000000347694 100 $a20180208d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aState-Trace Analysis /$fby John C. Dunn, Michael L. Kalish 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (126 pages) 225 1 $aComputational Approaches to Cognition and Perception,$x2510-1889 311 $a3-319-73128-9 320 $aIncludes bibliographical references and index. 327 $aPart 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. . 330 $aThis book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs.  The book offers instructions on how to perform state-trace analysis using the authors' own publicly-available software in both Matlab and R.  The book begins by discussing the general framework for thinking about the relationships between independent variables, latent variables, and dependent variables. Subsequent chapters provide a software package that can be used to fit state-trace models as well as additional designs and examples. The book concludes with a discussion on potential extensions of STA and additional aspects of its application.  State-Trace Analysis will be of interest to researchers and graduate students working in experimental, applied, and cognitive psychology. . 410 0$aComputational Approaches to Cognition and Perception,$x2510-1889 606 $aCognitive psychology 606 $aPsychology?Methodology 606 $aPsychological measurement 606 $aPsychology, Experimental 606 $aCognitive Psychology$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20060 606 $aPsychological Methods/Evaluation$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20040 606 $aExperimental Psychology$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20190 615 0$aCognitive psychology. 615 0$aPsychology?Methodology. 615 0$aPsychological measurement. 615 0$aPsychology, Experimental. 615 14$aCognitive Psychology. 615 24$aPsychological Methods/Evaluation. 615 24$aExperimental Psychology. 676 $a153.124 700 $aDunn$b John C$4aut$4http://id.loc.gov/vocabulary/relators/aut$0766439 702 $aKalish$b Michael L$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298068203321 996 $aState-Trace Analysis$92025619 997 $aUNINA