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Jul 6, 2019

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Jun 24, 2019

Ludovico Pinzari posted a blog post

The Divergence Index: A new polarization measure for ordinal categorical variables

In the statistical literature, for ordinal types of data, are known lots of indicators to measure the degree of the polarization phenomenon. Typically, many of the widely used measures of distributional variability are defined as a function of a reference point, which in some “sense” could be considered representative for the entire population. This function indicates how much all the values differ from the point that is considered “typical”.Of all measures of variability, the variance is a…See More

Jun 20, 2019

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Ludovico Pinzari's blog post was featured

The Divergence Index: A new polarization measure for ordinal categorical variables

In the statistical literature, for ordinal types of data, are known lots of indicators to measure the degree of the polarization phenomenon. Typically, many of the widely used measures of distributional variability are defined as a function of a reference point, which in some “sense” could be considered representative for the entire population. This function indicates how much all the values differ from the point that is considered “typical”.Of all measures of variability, the variance is a…See More

Jun 20, 2019

0 Comments 3 Likes

Ludovico Pinzari posted a blog post

The Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data

The analysis and classification of ordinal categorical data are central in most scientific domains and ubiquitous in governments and businesses.Examples of ordinal data are either found in questionnaires for measuring opinions or self-reported health status. A well-known example of ordinal data is the Likert Scale [1](DISLIKE = 1, DISLIKE SOMEWHAT = 2, NEUTRAL = 3, LIKE SOME WHAT = 4, LIKE = 5).Other…See More

Jun 6, 2019

0 Comments 1 Like

Ludovico Pinzari's blog post was featured

The Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data

The analysis and classification of ordinal categorical data are central in most scientific domains and ubiquitous in governments and businesses.Examples of ordinal data are either found in questionnaires for measuring opinions or self-reported health status. A well-known example of ordinal data is the Likert Scale [1](DISLIKE = 1, DISLIKE SOMEWHAT = 2, NEUTRAL = 3, LIKE SOME WHAT = 4, LIKE = 5).Other…See More

Jun 6, 2019

0 Comments 1 Like

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The Divergence Index: A new polarization measure for ordinal categorical variables

The Divergence Index: A new polarization measure for ordinal categorical variables

The Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data

The Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data

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Ludovico Pinzari's Blog

The Divergence Index: A new polarization measure for ordinal categorical variables

The Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data

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