Tucker's congruence coefficient as a meaningful index of factor similarity.

By Urbano Lorenzo-Seva, J. F. Berge. 2006

1,138 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ce24ce6fd4032f3b51fd42dfc5b323aee3d2a003

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Rasmus Bro
2. J. D. de Winter
3. Peter A. Wieringa
4. Dimitra Dodou
5. Lieven De Lathauwer
6. Pierre Comon
7. Alwin Stegeman
8. N. Sidiropoulos

In Management Science and Operations Research

1. J. D. de Winter
2. Dimitra Dodou
3. Peter A. Wieringa
4. Matt C. Howard
5. Caroline Chaffer
6. Jill J. Webb

Citations in the corpus

• Exploratory Factor Analysis With Small Sample Sizes (2009, background): “MacCallum et al. (2001) described a similar effect. They noticed that the effect of overdetermination on their empirical data was considerably weaker than in their Monte Carlo data. The difference was that in the empirical study the nature and number of factors were kept constant while the number of”
• Robust Promin: A method for diagonally weighted factor rotation (2019, neutral): “In terms of congruence, Promin showed a congruence value that was slightly under the threshold of .95, which suggests that the rotated solutions may not have a perfectly identical interpretation in each subsample (Lorenzo-Seva & ten Berge, 2006).”