An entropy-based approach for measuring factor contributions in factor analysis models
| Autor: | Claudio Giovanni Borroni, Minoru Tabata, Nobuoki Eshima |
|---|---|
| Přispěvatelé: | Eshima, N, Tabata, M, Borroni, C |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
factor loading
factor contribution General Physics and Astronomy Analysis models lcsh:Astrophysics Latent variable 01 natural sciences 050105 experimental psychology Article 010104 statistics & probability lcsh:QB460-466 Path analysi Entropy (information theory) Applied mathematics path analysis 0501 psychology and cognitive sciences 0101 mathematics lcsh:Science Mathematics Factor analysis 05 social sciences lcsh:QC1-999 entropy coefficient of determination SECS-S/01 - STATISTICA Manifest variable lcsh:Q lcsh:Physics |
| Zdroj: | Entropy, Vol 20, Iss 9, p 634 (2018) Entropy Volume 20 Issue 9 |
| Popis: | In factor analysis, factor contributions of latent variables are assessed conventionally by the sums of the squared factor loadings related to the variables. First, the present paper considers issues in the conventional method. Second, an alternative entropy-based approach for measuring factor contributions is proposed. The method measures the contribution of the common factor vector to the manifest variable vector and decomposes it into contributions of factors. A numerical example is also provided to demonstrate the present approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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