Keywords
Multivariate methods
composite indicators
cultural management
composite indicators
cultural management
How to Cite
Barreiro Linzan, M. D., & Lelly. (2023). Multivariate methods for constructing composite indices in cultural management: a literature review. Minerva, 4(10), 31-39. https://doi.org/10.47460/minerva.v4i10.93
Abstract
Every cultural institution providing services to external users must be frequently evaluated to know user satisfaction and management optimally; multivariate methods are an alternative in constructing indexes due to the goodness of the techniques in interrelating a set of characteristics
simultaneously. To initiate the research, a bibliographic search was carried out using keywords such as "multivariate methods," "composite indicators," "public management," "quality service," and "user satisfaction." As a result, the most frequently found techniques are multiple linear and logistic regression, factorial, cluster analysis, canonical correlation, principal components and correspondence analysis, variable selection, and construction of composite indexes. It is concluded that multivariate methods are optimal methodologies for constructing composite indexes. However, a methodology based on multivariate techniques applied in cultural management measurements in a standard way still needs to be improved.
References
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[11] C. Joaquín Duany, “ANÁLISIS ESTADÍSTICO DE INDICADORES DE CALIDAD DEL HOSPITAL ‘DR. JOAQUÍN CASTILLO DUANY,’” pp. 1–17, 2013.
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script=sci_arttext&pid=S2219-71682017000100003&lng=es&nrm=iso&tlng=es.
[14] M. Greenacre, La práctica del análisis de correspondencias, vol. 44, no. 8. 2008.
[15] V. H. Algañaraz Soria, “El ‘Análisis de Correspondencias Múltiples’ como herramienta metodológica de síntesis teórica y empírica. Su aporte al estudio del locus universitario privado argentino (1955-1983),” Rev. Latinoam. Metodol. las Ciencias Soc., vol. 6, no. 1, pp. e003–e003, 2016.
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[19] S. M. Famurewa, C. Stenström, M. Asplund, D. Galar, and U. Kumar, “Composite indicator for railway infrastructure management,” J. Mod. Transp., vol. 22, no. 4, pp. 214–224, 2014, doi: 10.1007/s40534-014-0051-1.
[20] A. Deepak, D. Kumar, and V. Sharma, “Developing an effectiveness index for biomedical waste management in Indian states using a composite indicators approach,” Environ. Sci. Pollut. Res., vol. 28, no. 45, pp. 64014–64029, 2021, doi: 10.1007/s11356-021-13940-4.
[21] P. Centorrino, A. Corbetta, E. Cristiani, and E. Onofri, “Managing crowded museums: Visitors flow measurement, analysis, modeling, and optimization,” J. Comput. Sci., vol. 53, p. 101357, 2021, doi: 10.1016/j.jocs.2021.101357.
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