BifactorCalc: An Online Calculator for Ancillary Measures of Bifactor Models
The bifactor model allows examining the presence of a total score in a data set by modeling a general factor and two or more specific factors with an orthogonal relationship. These models tend to overestimate the goodness of fit (e.g., CFI, RMSEA, SRMR), hence there exist auxiliary measures that all...
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| Autores principales: | , , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
| Publicado: |
Instituto de Investigaciones Psicológicas (IIPSI, Conicet-UNC)
2021
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| Materias: | |
| Acceso en línea: | https://revistas.unc.edu.ar/index.php/revaluar/article/view/36272 |
| Aporte de: |
| Sumario: | The bifactor model allows examining the presence of a total score in a data set by modeling a general factor and two or more specific factors with an orthogonal relationship. These models tend to overestimate the goodness of fit (e.g., CFI, RMSEA, SRMR), hence there exist auxiliary measures that allow examining the dimensionality (ECVGen; ECVSpecific; I-ECV, PUC, ARPB), and reliability (ω, ωS, ωH, ωHS, PRV, H, and FD). The present study describes the operation, mathematical foundations, and application in psychological research of an online calculator called BifactorCalc. The results demonstrate that BifactorCalc is an online, user-friendly, and easy-to-use computer program for the calculation of the different auxiliary measures of bifactor models. It was concluded that the computer tool BifactorCalc is able to calculate the auxiliary measures of bifactor models in three simple steps and generate a path diagram. |
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