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008			190405s2019 gw a s |||| 0|eng d
020			_a9783030125080
024	7		_a10.1007/978-3-030-12508-0 _2doi
040			_aES-MaUEC _bspa _dES-MaUEC
050		4	_aQA278.3 _b2019 EB
100	1		_aWestland, J. Christopher _eautor _0(orcid)0000-0003-2224-4543 _4aut _4http://id.loc.gov/vocabulary/relators/aut _933131
245	1	0	_aStructural Equation Models : _bFrom Paths to Networks _cby J. Christopher Westland.
250			_a2nd ed. 2019.
264		1	_aCham _bSpringer International Publishing _bImprint: Springer _c2019.
300			_a1 recurso en línea (IX, 149 páginas) _b36 ilustraciones,18 ilustraciones a color
347			_atext file _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4182 _v22
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aChapter1. An Introduction to Structural Equation Models -- Chapter2. Partial Least Squares Path Analysis -- Chapter3. Full-information Covariance SEM -- Chapter4. Systems of Regression Equations -- Chapter5. Data Collection, Control and Sample Size -- Chapter6. Survey and Questionnaire Data -- Chapter7. Research Structure and Paradigms -- Chapter8. Frontiers in Latent Variable Analysis.
520	3		_aThis new edition surveys the full range of available structural equation modeling (SEM) methodologies. The book has been updated throughout to reflect the arrival of new software packages, which have made analysis much easier than in the past. Applications in a broad range of disciplines are discussed, particularly in the social sciences where many key concepts are not directly observable. This book presents SEM's development in its proper historical context-essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that are growing in importance. SEM's ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.
650		7	_aModelos de ecuaciones estructurales _9671237 _2embne
776	0	8	_iPrinted edition: _z9783030125073
776	0	8	_iPrinted edition: _z9783030125097
776	0	8	_iPrinted edition: _z9783030125103
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-12508-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b11/2019 _cm _dz _ea _feng _ggw _h0