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001			9780203701133
003			FlBoTFG
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006			m o d
007			cr cnu---unuuu
008			210208t20212021flua fo 000 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781351329729 _qelectronic book
020			_a1351329723 _qelectronic book
020			_a9780203701133 _qelectronic book
020			_a0203701135 _qelectronic book
020			_a9781351329705 _qelectronic book _qMobipocket
020			_a1351329707 _qelectronic book _qMobipocket
020			_a9781351329712 _qelectronic book _qEPUB
020			_a1351329715 _qelectronic book _qEPUB
035			_a(OCoLC)1240718054
035			_a(OCoLC-P)1240718054
050		4	_aRA407 _b.G86 2021
072		7	_aMAT _x029000 _2bisacsh
072		7	_aMED _x090000 _2bisacsh
072		7	_aJMB _2bicssc
082	0	4	_a610.1/51953 _223
100	1		_aGunzler, Douglas D., _eauthor.
245	1	0	_aStructural equation modeling for health and medicine / _cDouglas D. Gunzler, Adam T. Perzynski, Adam C. Carle.
264		1	_aBoca Raton, FL : _bChapman & Hall/CRC, _c2021.
264		4	_c©2021
300			_a1 online resource : _billustrations (black and white).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aChapman & Hall/CRC biostatistics series
520			_aStructural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMedical statistics.
650		7	_aMATHEMATICS / Probability & Statistics / General _2bisacsh
650		7	_aMEDICAL / Biostatistics _2bisacsh
700	1		_aPerzynski, Adam, _eauthor.
700	1		_aCarle, Adam C., _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780203701133
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c130158 _d130158