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007			cr nn nnnaamaa
008			180208s2018 gw | o |||| 0|eng d
020			_a9783319731292
024	7		_a10.1007/978-3-319-73129-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aBF201 _b2018 EB
100	1		_aDunn, John C. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/275563877 _9673745
245	1	0	_aState-Trace Analysis / _cJohn C. Dunn, Michael L. Kalish.
250			_aFirst edition 2018
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIII, 123 páginas) _b37 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aComputational Approaches to Cognition and Perception _x2510-1889
490	0		_aBehavioral Science and Psychology (Springer-41168)
505	0		_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. .
520			_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. .
988			_aSpringer_Psychology_2018
650		7	_aPsicología cognitiva _2embne _9413149
650		7	_aPsicometría _2embne _9139907
700	1		_aKalish, Michael L. _4aut _4http://id.loc.gov/vocabulary/relators/aut _9674066
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9783319731285
776	0	8	_iPrinted edition: _z9783319731308
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-73129-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _eo _zSI