HKSYU Course Resources
MARC Display
LEADER 02738cam a2200433 i 4500
001
991002343209707546
005
20220623083424.0
008
220312s2022 caua b 001 0 eng
010
a| 2021004786
020
a| 9781544396408
q| (paperback)
020
z| 9781544396415
q| (epub)
020
z| 9781544396422
q| (epub)
020
z| 9781544396330
q| (pdf)
035
a| (HKSYU)b2154329x-852hksyu_inst
035
a| (DLC) 2021004786
035
a| (OCoLC)1251738400
040
a| LBSOR/DLC
b| eng
e| rda
c| DLC
d| OCLCO
d| OCLCF
d| UPM
d| YDX
d| HKP
d| HNK
d| HK-SYU
042
a| pcc
050
0
0
a| QA275
b| .P88 2022
082
0
0
a| 511/.42
2| 23
092
0
a| 511.42
b| PRI 2022
245
0
2
a| A primer on partial least squares structural equation modeling (PLS-SEM) /
c| Joseph F. Hair...[and three others].
250
a| Third edition.
264
1
a| Los Angeles, California :
b| SAGE Publications, Inc.,
c| [2022]
264
4
c| ©2022
300
a| xx, 363 pages :
b| illustrations ;
c| 23 cm
336
a| text
b| txt
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
504
a| Includes bibliographical references and index.
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"--
c| Provided by publisher.
650
0
a| Least squares.
650
0
a| Structural equation modeling.
700
1
a| Hair, Joseph F.,
c| Jr.,
d| 1944-
e| author.
907
a| b2154329x
b| 27-04-22
c| 12-03-22
910
a| nlw
b| mkl
935
a| (HK-SYU)501047126
9| ExL
998
a| book
b| 27-04-22
c| m
d| a
e| -
f| eng
g| cau
h| 2
i| 0
945
h| Principal
l| location
i| barcode
y| id
f| bookplate
a| callnoa
b| callnob
n| BUS532