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
切換:
標籤
|
MARC模式
|
ISBD
Meta-analytic structural equation mo...
~
Jak, Suzanne.
FindBook
Google Book
Amazon
博客來
Meta-analytic structural equation modelling
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Meta-analytic structural equation modelling/ by Suzanne Jak.
作者:
Jak, Suzanne.
出版者:
Cham :Springer International Publishing : : 2015.,
面頁冊數:
viii, 88 p. :ill., digital ;24 cm.
內容註:
Introduction -- Methods of MASEM -- Heterogeneity in MASEM -- Issues in MASEM -- Example: Fitting a path model with the two-stage approach -- Example: Fitting a factor model with the two-stage approach -- Conclusions.
Contained By:
Springer eBooks
標題:
Structural equation modeling. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-27174-3
ISBN:
9783319271743
Meta-analytic structural equation modelling
Jak, Suzanne.
Meta-analytic structural equation modelling
[electronic resource] /by Suzanne Jak. - Cham :Springer International Publishing :2015. - viii, 88 p. :ill., digital ;24 cm. - SpringerBriefs in research synthesis and meta-analysis,2193-0015. - SpringerBriefs in research synthesis and meta-analysis..
Introduction -- Methods of MASEM -- Heterogeneity in MASEM -- Issues in MASEM -- Example: Fitting a path model with the two-stage approach -- Example: Fitting a factor model with the two-stage approach -- Conclusions.
This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM) It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studies. This book gives an introduction to MASEM, with a focus on the state of the art approach: the two stage approach of Cheung and Cheung & Chan. Both, the fixed and the random approach to MASEM are illustrated with two applications to real data. All steps that have to be taken to perform the analyses are discussed extensively. All data and syntax files are available online, so that readers can imitate all analyses. By using SEM for meta-analysis, this book shows how to benefit from all available information from all available studies, even if few or none of the studies report about all relationships that feature in the full model of interest.
ISBN: 9783319271743
Standard No.: 10.1007/978-3-319-27174-3doiSubjects--Topical Terms:
618811
Structural equation modeling.
LC Class. No.: QA278.3
Dewey Class. No.: 519.53
Meta-analytic structural equation modelling
LDR
:02118nmm a2200325 a 4500
001
2013563
003
DE-He213
005
20160418105207.0
006
m d
007
cr nn 008maaau
008
160518s2015 gw s 0 eng d
020
$a
9783319271743
$q
(electronic bk.)
020
$a
9783319271729
$q
(paper)
024
7
$a
10.1007/978-3-319-27174-3
$2
doi
035
$a
978-3-319-27174-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA278.3
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
082
0 4
$a
519.53
$2
23
090
$a
QA278.3
$b
.J25 2015
100
1
$a
Jak, Suzanne.
$3
2163031
245
1 0
$a
Meta-analytic structural equation modelling
$h
[electronic resource] /
$c
by Suzanne Jak.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
viii, 88 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in research synthesis and meta-analysis,
$x
2193-0015
505
0
$a
Introduction -- Methods of MASEM -- Heterogeneity in MASEM -- Issues in MASEM -- Example: Fitting a path model with the two-stage approach -- Example: Fitting a factor model with the two-stage approach -- Conclusions.
520
$a
This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM) It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studies. This book gives an introduction to MASEM, with a focus on the state of the art approach: the two stage approach of Cheung and Cheung & Chan. Both, the fixed and the random approach to MASEM are illustrated with two applications to real data. All steps that have to be taken to perform the analyses are discussed extensively. All data and syntax files are available online, so that readers can imitate all analyses. By using SEM for meta-analysis, this book shows how to benefit from all available information from all available studies, even if few or none of the studies report about all relationships that feature in the full model of interest.
650
0
$a
Structural equation modeling.
$3
618811
650
0
$a
Meta-analysis.
$3
559860
650
1 4
$a
Statistics.
$3
517247
650
2 4
$a
Statistical Theory and Methods.
$3
891074
650
2 4
$a
Methodology of the Social Sciences.
$3
895565
650
2 4
$a
Statistics for Business/Economics/Mathematical Finance/Insurance.
$3
891081
650
2 4
$a
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
$3
894294
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in research synthesis and meta-analysis.
$3
2163032
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-27174-3
950
$a
Mathematics and Statistics (Springer-11649)
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
W9275141
電子資源
11.線上閱覽_V
電子書
EB QA278.3 .J25 2015
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