Stepwise variable selection in factor analysis

By Yutaka Kano, A. Harada. 2000

67 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7bb5150feb85fe561a9807ead1a9a7838061816e

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. Kuang‐Hui Yeh
2. Peter Spirtes
3. Simon Schindler
4. Johanna Hartung
5. C. Kandler
6. Ricardo M. A. Silva
7. Richard Scheines
8. Clark Glymour

In Food Science

1. Kuang‐Hui Yeh
2. Olwen Bedford

In Statistics and Probability

1. Peter Spirtes
2. Kuang‐Hui Yeh
3. C. Kandler
4. Ricardo M. A. Silva
5. Richard Scheines
6. Clark Glymour
7. Olwen Bedford
8. Peter Buhlmann

Citations in the corpus

• A test of the Dual Filial Piety model. (2003, methodology): “To reduce the complexity of the model and improve the stability of the measures, the Stepwise Variable Selection method (Kano & Harada, 2000) was used to control the indicator number of each measure to between three and five (based on the goodness-of-fit statistics).”
• Learning the Structure of Linear Latent Variable Models (2006, background): “In many cases it is preferable to model the relationships of a subset of the given variables than trying to force a bad model over all of them (Kano and Harada, 2000).”
• Old Wine in New Bottles? The Case of Self–Compassion and Neuroticism (2017, methodology): “Next, we examined how much variance in selfcompassion could be explained by the facets of the FFM.”