語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Least squares." ]
切換:
標籤
|
MARC模式
|
ISBD
Partial least squares structural equ...
~
Hair, Joseph F.
FindBook
Google Book
Amazon
博客來
Partial least squares structural equation modeling (PLS-SEM) using R = a workbook /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Partial least squares structural equation modeling (PLS-SEM) using R/ by Joseph F. Hair Jr. ...[et al.].
其他題名:
a workbook /
其他作者:
Hair, Joseph F.
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
xiv, 197 p. :ill. (some col.), digital ;24 cm.
內容註:
An Introduction to Structural Equation Modeling -- Introduction to R and RStudio -- Introduction to SEMinR -- Evaluation of Reflective Measurement Models -- Evaluation of Formative Measurement Models -- Evaluation of the Structural Model -- Mediation Analysis -- Moderation Analysis.
Contained By:
Springer Nature eBook
標題:
Least squares. -
電子資源:
https://doi.org/10.1007/978-3-030-80519-7
ISBN:
9783030805197
Partial least squares structural equation modeling (PLS-SEM) using R = a workbook /
Partial least squares structural equation modeling (PLS-SEM) using R
a workbook /[electronic resource] :by Joseph F. Hair Jr. ...[et al.]. - Cham :Springer International Publishing :2021. - xiv, 197 p. :ill. (some col.), digital ;24 cm. - Classroom companion: business,2662-2874. - Classroom companion: business..
An Introduction to Structural Equation Modeling -- Introduction to R and RStudio -- Introduction to SEMinR -- Evaluation of Reflective Measurement Models -- Evaluation of Formative Measurement Models -- Evaluation of the Structural Model -- Mediation Analysis -- Moderation Analysis.
Open Access
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
ISBN: 9783030805197
Standard No.: 10.1007/978-3-030-80519-7doiSubjects--Topical Terms:
549973
Least squares.
LC Class. No.: QA275
Dewey Class. No.: 511.42
Partial least squares structural equation modeling (PLS-SEM) using R = a workbook /
LDR
:02510nmm 22003615a 4500
001
2258667
003
DE-He213
005
20211103093713.0
006
m d
007
cr nn 008maaau
008
220422s2021 sz s 0 eng d
020
$a
9783030805197
$q
(electronic bk.)
020
$a
9783030805180
$q
(paper)
024
7
$a
10.1007/978-3-030-80519-7
$2
doi
035
$a
978-3-030-80519-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA275
072
7
$a
KJS
$2
bicssc
072
7
$a
BUS043000
$2
bisacsh
072
7
$a
KJS
$2
thema
072
7
$a
KJSM
$2
thema
082
0 4
$a
511.42
$2
23
090
$a
QA275
$b
.P273 2021
245
0 0
$a
Partial least squares structural equation modeling (PLS-SEM) using R
$h
[electronic resource] :
$b
a workbook /
$c
by Joseph F. Hair Jr. ...[et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xiv, 197 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Classroom companion: business,
$x
2662-2874
505
0
$a
An Introduction to Structural Equation Modeling -- Introduction to R and RStudio -- Introduction to SEMinR -- Evaluation of Reflective Measurement Models -- Evaluation of Formative Measurement Models -- Evaluation of the Structural Model -- Mediation Analysis -- Moderation Analysis.
506
0
$a
Open Access
520
$a
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
650
0
$a
Least squares.
$3
549973
650
0
$a
Structural equation modeling.
$3
618811
650
0
$a
Finance
$x
Mathematical models.
$3
578740
650
0
$a
R (Computer program language)
$3
784593
650
1 4
$a
Marketing.
$3
536353
650
2 4
$a
Statistics and Computing/Statistics Programs.
$3
894293
650
2 4
$a
Econometrics.
$3
542934
700
1
$a
Hair, Joseph F.
$3
671070
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Classroom companion: business.
$3
3447028
856
4 0
$u
https://doi.org/10.1007/978-3-030-80519-7
950
$a
Business and Management (SpringerNature-41169)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9414274
電子資源
11.線上閱覽_V
電子書
EB QA275
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入