000			03047cam a2200385 i 4500
001			22019895
003			OSt
005			20250403104641.0
008			210425s2022 caua b 001 0 eng
010			_a 2021004786
020			_a9781544396408 _q(paperback)
040			_aLBSOR/DLC _beng _erda _cIIMV _dDLC
042			_apcc
050	0	0	_aQA275 _b.P88 2022
082	0	0	_a511.42 _223
100	1		_aHair, Joseph F., _cJr., _d1944- _eauthor. _934650
245	1	2	_aA primer on partial least squares structural equation modeling (PLS-SEM) / _cJoseph F. Hair, Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt.
250			_aThird edition.
264		1	_aLos Angeles : _bSAGE, _c[2022]
300			_axx, 363 pages: _billustrations (black and white) ; _c23 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 327-351) and index.
505	0		_aAn introduction to structural equation modeling -- Specifying the path model and examining data -- Path model estimation -- Assessing PLS-SEM results part I : evaluation of reflective measurement models -- Assessing PLS-SEM results part II : evaluation of the formative measurement models -- Assessing PLS-SEM results part III : evaluation of the structural model -- Mediator and moderator analysis -- Outlook on advanced methods.
520			_a"The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM with limited emphasis on equations and symbols, instead, explaining the details in straightforward language. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, distinctions between PLS-SEM and CB-SEM, use with secondary data, model fit and comparison, information on control variables, sample size calculations, and more"-- _cProvided by publisher.
650		0	_aLeast squares.
650		0	_aStructural equation modeling.
700	1		_aHult, G. Tomas M., _eauthor. _934651
700	1		_aRingle, Christian M., _eauthor. _912
700	1		_aSarstedt, Marko. _eauthor. _913
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c7451 _d7451