Abstract
The purpose of this study is to propose a criterion for determining the number of common factors. This criterion is called MSCV (Model Selector by Cross Validation), which is an estimator of expected log-likelihood. Through the results of computer simulations, the criterion is shown to be effective for determining the number of common factors in factor analysis. The practical application with such criterion is demonstrated by using standardized data of Japanese WISC-R, made of three common factors.
| Original language | English |
|---|---|
| Pages (from-to) | 252-256 |
| Number of pages | 5 |
| Journal | Japanese Journal of Educational Psychology |
| Volume | 34 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1986 |
| Externally published | Yes |
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Keywords
- Computer Simulation
- Cross Validation
- Expected Log-Likelihood
- Factor Analysis
- MSCV
ASJC Scopus subject areas
- Education
- Developmental and Educational Psychology
Cite this
A method for determining the number of common factors by cross validation. / Toyoda, Hideki.
In: Japanese Journal of Educational Psychology, Vol. 34, No. 3, 1986, p. 252-256.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A method for determining the number of common factors by cross validation
AU - Toyoda, Hideki
PY - 1986
Y1 - 1986
N2 - The purpose of this study is to propose a criterion for determining the number of common factors. This criterion is called MSCV (Model Selector by Cross Validation), which is an estimator of expected log-likelihood. Through the results of computer simulations, the criterion is shown to be effective for determining the number of common factors in factor analysis. The practical application with such criterion is demonstrated by using standardized data of Japanese WISC-R, made of three common factors.
AB - The purpose of this study is to propose a criterion for determining the number of common factors. This criterion is called MSCV (Model Selector by Cross Validation), which is an estimator of expected log-likelihood. Through the results of computer simulations, the criterion is shown to be effective for determining the number of common factors in factor analysis. The practical application with such criterion is demonstrated by using standardized data of Japanese WISC-R, made of three common factors.
KW - Computer Simulation
KW - Cross Validation
KW - Expected Log-Likelihood
KW - Factor Analysis
KW - MSCV
UR - http://www.scopus.com/inward/record.url?scp=85024288587&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85024288587&partnerID=8YFLogxK
U2 - 10.5926/jjep1953.34.3_252
DO - 10.5926/jjep1953.34.3_252
M3 - Article
VL - 34
SP - 252
EP - 256
JO - Japanese Journal of Educational Psychology
JF - Japanese Journal of Educational Psychology
SN - 0021-5015
IS - 3
ER -