simsek: Obtain Şimşek-Noyan's theta (principal component analysis...

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simsekR Documentation

Obtain Şimşek-Noyan's theta (principal component analysis reliability)

Description

Şimşek-Noyan's (2013) theta is the multidimensional principal component analysis (PCA) reliability. It is a multidimensional generalization of Kaiser-Caffrey's alpha.

Usage

simsek(x, dim, print = TRUE)

Arguments

x

a dataframe or a matrix (multidimensional)

dim

the number of dimensions

Value

Şimşek-Noyan's theta

References

Armor, D. J. (1974). Theta reliability and factor scaling. In H. L. Costner (Ed.), Sociological methodology (pp. 17-50). Jossey-Bass.

Kaiser, H. F., & Caffrey, J. (1965). Alpha factor analysis. Psychometrika, 30(1), 1-14.

Şimşek, G. G., & Noyan, F. (2013). McDonald’s ωt, Cronbach’s α, and Generalized θ for Composite Reliability of Common Factors Structures. Communications in Statistics - Simulation and Computation, 42(9), 2008–2025. https://doi.org/10.1080/03610918.2012.689062

Examples

Şimşek(Osburn_moderate)

eunscho/reliacoef documentation built on Jan. 30, 2023, 12:16 a.m.