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008 230608s2024 cau b 001 0 eng
010 _a 2023027337
020 _a9781071862506
_q(paperback ;
_qalk. paper)
035 _a23177057
040 _aDLC
_beng
_erda
_cDLC
_dDLC
_dCSPC
042 _apcc
050 0 0 _aQA275
_b.H235 2024
082 0 0 _a511.42
_bH127a
_223/eng/20231002
100 1 _aHair, Joseph F., Jr.,
_eauthor.
245 1 0 _aAdvanced issues in partial least squares structural equation modeling /
_cJoseph F. Hair, Jr., [and 3 others].
250 _aSecond edition.
264 1 _aThousand Oaks, California ;
_aLondon :
_bSage,
_c2024.
300 _axviii, 236 pages ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aAn overview of recent and emerging developments in PLS-SEM -- Higher-order constructs -- Advanced modeling and model assessment -- Advanced results illustration -- Modeling observed heterogeneity -- Modeling unobserved heterogeneity.
520 _a"Advanced Issues in Partial Least Squares Structural Equation Modeling provides a practical and applied description of advanced issues in PLS-SEM relevant for students, professors and applied researchers. The book combines simple explanations of complex statistical concepts with examples and case studies that readers can follow using datasets available with the book. Furthermore, instead of providing technical descriptions of the concepts with a multitude of formulae, the book will focus on the appropriate analysis of data and interpretation of outputs. Many of the examples are based on the SmartPLS software, created and maintained by the authors. The book is easy to use for both independent and guided learning, including numerous graphs, tables, illustrations, multiple downloadable datasets (provided on a companion website), exercises, and further readings. This textbook is one of first applied, textbook on advanced issues in PLS-SEM, and thus be the first mover in this space. PLS-SEM is illustrated using the same case and database throughout the book. This facilitates consistency in the issues associated with the example and enhance learning. The text includes a brief review of basic concepts for the application of PLS-SEM. The advanced topics are covered in a manner that clearly demonstrates how students and researchers can apply the techniques to their research problems, and accurately interpret the results. Examples of some advanced topics include mediated moderation, unobserved heterogeneity, higher-order component models, suppressor effects, multi-group analyses, and so forth"--
_cProvided by publisher.
650 0 _aLeast squares.
650 0 _aStructural equation modeling.
700 1 _aSastedt, Marko,
_eauthor.
700 1 _aRingle, Christian M.,
_eauthor.
700 1 _aGudergan, Siegfried P.,
_eauthor.
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cBK
_e23
_h511.42
_iH127a
_kCIR
_m2024
_n0
999 _c33391
_d33391