Measurement of peakedness in variables on nominal scale

Authors

  • José Moral de la Rubia Facultad de Psicología, Universidad Autónoma de Nuevo León http://orcid.org/0000-0003-1856-1458

    Doctor en Filosofía y Ciencias de la Educación por la Universidad de Alcalá, Madrid-España. Profesor-investigador de la Facultad de Psicología de la Universidad Autónoma de Nuevo León, México. Dirección postal: Calle/ Dr. Carlos Canseco 110. Col. Mitras Centro. CP. 64640 Monterrey, Nuevo León, México. Contacto: jose_moral@hotmail.com. ORCID: http://orcid.org/0000-0003-1856-1458

DOI:

https://doi.org/10.18800/psico.202301.016

Keywords:

Distribution shape, Peakedness, Kurtosis, Qualitative variable, Descriptive statistics

Abstract

The objective of this methodological study is to define and develop a qualitative peakedness measure and to test its validity. One hundred twenty qualitative distributions were generated from binomial distributions. The percentile kurtosis and the average of five judges when visually assessing the degree of peakedness were used as validity criteria. Peakedness was defined as the standout of the peak between the shoulders. From the frequencies of the nominal categories, it was specified how to chart a bar diagram and measure the distance from the peak to the shoulders. The statistic showed a behavior adjusted to expectations. Its correlation with average inter-judge peakedness was .87 and with percentile kurtosis ?.38. It is concluded that a concept of qualitative peakedness can be defined and measured reliably.

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Published

2023-02-15

How to Cite

Moral de la Rubia, J. (2023). Measurement of peakedness in variables on nominal scale. Revista De Psicología, 41(1), 421–459. https://doi.org/10.18800/psico.202301.016

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Articles