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~subject:"Messung"
~subject:"Regression analysis"
~subject:"missing data"
~subject:"multiple imputation"
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Organizational research methods : ORM
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1
Missing data : five practical guidelines
Newman, Daniel A.
- In:
Organizational research methods : ORM
17
(
2014
)
4
,
pp. 372-411
Persistent link: https://www.econbiz.de/10010418134
Saved in:
2
Multiple imputation of missing data for multilevel models : simulations and recommendations
Grund, Simon
;
Lüdtke, Oliver
;
Robitzsch, Alexander
- In:
Organizational research methods : ORM
21
(
2018
)
1
,
pp. 111-149
Persistent link: https://www.econbiz.de/10011880091
Saved in:
3
Estimating unattenuated correlations with limited information about selection variables : alternatives to case IV
Fife, Dunstin A.
;
Hunter, Michael D.
;
Mendoza, Jorge L.
- In:
Organizational research methods : ORM
19
(
2016
)
4
,
pp. 593-615
Persistent link: https://www.econbiz.de/10011584995
Saved in:
4
Estimating subgroup differences in staffing research when the selection mechanism is unknown : a response to Li's Case IV correction
Fife, Dustin A.
;
Mendoza, Jorge
;
Day, Eric
;
Terry, Robert
- In:
Organizational research methods : ORM
23
(
2020
)
2
,
pp. 367-384
Persistent link: https://www.econbiz.de/10012181264
Saved in:
5
Planned missingness : how to and how much?
Zhang, Charlene
;
Yu, Martin C.
- In:
Organizational research methods : ORM
25
(
2022
)
4
,
pp. 623-641
Persistent link: https://www.econbiz.de/10013443902
Saved in:
6
Constructs in strategic management
Boyd, Brian K.
;
Bergh, Donald D.
;
Ireland, R. Duane
; …
- In:
Organizational research methods : ORM
16
(
2013
)
1
,
pp. 3-14
Persistent link: https://www.econbiz.de/10009753078
Saved in:
7
Feature topic: Construct measurement in strategic management
In:
Organizational research methods : ORM
16
(
2013
)
1
,
pp. 3-126
Persistent link: https://www.econbiz.de/10009753082
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