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1
Common beliefs and reality about PLS : comments on Rönkkö and Evermann (2013)
Henseler, Jörg
;
Dijkstra, Theo K.
;
Sarstedt, Marko
; …
- In:
Organizational research methods : ORM
17
(
2014
)
2
,
pp. 182-209
Persistent link: https://www.econbiz.de/10010362589
Saved in:
2
A
multicollinearity
and measurement error statistical blind spot : correcting for excessive false positives in regression and PLS
Goodhue, Dale L.
;
Lewis, William
;
Thompson, Ron
- In:
Management information systems : mis quarterly
41
(
2017
)
3
,
pp. 667-684
Persistent link: https://www.econbiz.de/10011740838
Saved in:
3
Improving the validity of theory testing in logistics research using correlated components regression
Garver, Michael S.
;
Williams, Zachary
- In:
International journal of logistics : research and …
21
(
2018
)
4
,
pp. 363-377
Persistent link: https://www.econbiz.de/10011881329
Saved in:
4
On the use of spline regression in the study of congruence in organizational research
Edwards, Jeffrey R.
;
Parry, Mark E.
- In:
Organizational research methods : ORM
21
(
2018
)
1
,
pp. 68-110
Persistent link: https://www.econbiz.de/10011880088
Saved in:
5
Understanding the results of multiple linear regression : beyond standardized regression coefficients
Nimon, Kim F.
;
Oswald, Frederick L.
- In:
Organizational research methods : ORM
16
(
2013
)
4
,
pp. 650-674
Persistent link: https://www.econbiz.de/10010188251
Saved in:
6
Residualized relative importance analysis : a technique for the comprehensive decomposition of variance in higher order regression models
LeBreton, James M.
;
Tonidandel, Scott
;
Krasikova, Dina V.
- In:
Organizational research methods : ORM
16
(
2013
)
3
,
pp. 449-473
Persistent link: https://www.econbiz.de/10009761158
Saved in:
7
Univariate versus multivariate modeling of panel data : model specification and goodness-of-fit testing
Bou, Juan Carlos
;
Satorra, Albert
- In:
Organizational research methods : ORM
21
(
2018
)
1
,
pp. 150-196
Persistent link: https://www.econbiz.de/10011880093
Saved in:
8
A novel robust multivariate regression approach to optimize multiple surfaces
Moslemi, Amir
;
Seyyed-Esfahani, Mirmehdi
- In:
RAIRO / Operations research
52
(
2018
)
4/5
,
pp. 1233-1243
Persistent link: https://www.econbiz.de/10011987290
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9
Multivariate multiple regression modelling for technology analysis
Jun, Sunghae
;
Wood, Jacob
;
Park, Sangsung
- In:
Technology analysis & strategic management
30
(
2018
)
3
,
pp. 311-323
Persistent link: https://www.econbiz.de/10011808292
Saved in:
10
Multivariate regression analysis for the item count technique
Imai, Kosuke
- In:
Journal of the American Statistical Association : JASA
106
(
2011
)
494
,
pp. 407-416
Persistent link: https://www.econbiz.de/10009267771
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