Notice
This item was automatically migrated from a legacy system. It's data has not been checked and might not meet the quality criteria of the present system.
Record link: 
http://hdl.handle.net/20.500.12708/166915
-
Title: 
Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research
-
Citation: 
Treiblmaier, H., & Filzmoser, P. (2010). Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research. INFORMATION & MANAGEMENT, 47, 197–207. http://hdl.handle.net/20.500.12708/166915
-
Publication Type: 
Article - Original Research Article
en
Authors: 
Treiblmaier, Horst 
Filzmoser, Peter 
-
Organisational Unit: 
E105-06 - Forschungsbereich Computational Statistics 
-
Journal: 
INFORMATION & MANAGEMENT 
-
ISSN: 
0378-7206
-
Date (published): 
2010
-
Number of Pages: 
11
-
Publisher: 
ELSEVIER
-
Peer reviewed: 
Yes
-
Research Areas: 
Modelling and Simulation: 100%
-
Science Branch: 
Mathematik, Informatik
-
Appears in Collections:
Article

Show full item record

Page view(s)

85
checked on Dec 1, 2023

Google ScholarTM

Check