Measuring HS in Small, Vulnerable Municipalities: A Quantitative Approach

<pre style="text-indent: 0px; margin: 0px;"><span style="color: #000000;">This article presents a methodological proposal for formulating a Human Security Index (</span><span style="text-decoration: underline; color: #000000;">HSI</span><...

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Main Authors: José Rafael Tovar Cuevas, Juan David Díaz Mutis, Sandra Balanta Cobo, Luis Miguel Tovar Cuevas
Format: Article
Language:English
Published: Librelloph 2022-02-01
Series:Journal of Human Security
Subjects:
Online Access:http://www.librelloph.com/journalofhumansecurity/article/view/653
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author José Rafael Tovar Cuevas
Juan David Díaz Mutis
Sandra Balanta Cobo
Luis Miguel Tovar Cuevas
author_facet José Rafael Tovar Cuevas
Juan David Díaz Mutis
Sandra Balanta Cobo
Luis Miguel Tovar Cuevas
author_sort José Rafael Tovar Cuevas
collection DOAJ
description <pre style="text-indent: 0px; margin: 0px;"><span style="color: #000000;">This article presents a methodological proposal for formulating a Human Security Index (</span><span style="text-decoration: underline; color: #000000;">HSI</span><span style="color: #000000;">), including information from institutional sources and the inhabitants' perception of security. The developed methodology uses quantitative methods to evaluate </span><span style="text-decoration: underline; color: #000000;">HS</span><span style="color: #000000;"> (Human Security) in small municipalities with large rural areas affected by the confluence of different social and economic problems. Given the security conditions in the area, it was impossible to use a random sampling mechanism. Therefore, the data collected have a sample size that cannot be considered significant enough to make inferences using a </span><span style="text-decoration: underline; color: #000000;">frequentist</span><span style="color: #000000;"> statistics approach. The method to construct the index is illustrated using </span><span style="text-decoration: underline; color: #000000;">Miranda's</span><span style="color: #000000;"> data, a Colombian municipality exposed to decades of armed conflict. With the answers given by 55 interviewees to questions related to the armed conflict such as presence-absence reminders and retained values of violent events, a proposal of 36 indices was made, and two of them were selected for the study, following some statistical criteria. In the construction of one of these selected indices, we used information from binary variables and, for the other index, we used information from count data. The values obtained by both indices for the municipality of Miranda were, respectively, 46.4 and 35.8. According to </span><span style="text-decoration: underline; color: #000000;">HS</span><span style="color: #000000;"> experts, both values can be considered moderate levels in the perception of insecurity by residents of the municipality.</span></pre><!-- p, li { white-space: pre-wrap; } -->
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spelling doaj.art-5cfe79f127364127b3f8a5204d0bd80c2022-12-22T03:54:48ZengLibrellophJournal of Human Security1835-38002022-02-01181294810.12924/johs2022.18010029222Measuring HS in Small, Vulnerable Municipalities: A Quantitative ApproachJosé Rafael Tovar Cuevas0Juan David Díaz Mutis1Sandra Balanta Cobo2Luis Miguel Tovar Cuevas3School of Statistics, Faculty of Engineering, University of the Valley, Santiago de Cali, Valle del Cuaca, ColombiaSchool of Statistics, Faculty of Engineering, University of the Valley, Santiago de Cali, Valle del Cuaca, Colombia\\ Departmental Secretary of the Health, Santiago de Cali, ColombiaDepartment of Social and Economic Sciences, Pontifical Javeriana University Santiago de Cali, Valle del Cauca, ColombiaDepartment of Social and Economic Sciences, Pontifical Javeriana University Santiago de Cali, Valle del Cauca, Colombia<pre style="text-indent: 0px; margin: 0px;"><span style="color: #000000;">This article presents a methodological proposal for formulating a Human Security Index (</span><span style="text-decoration: underline; color: #000000;">HSI</span><span style="color: #000000;">), including information from institutional sources and the inhabitants' perception of security. The developed methodology uses quantitative methods to evaluate </span><span style="text-decoration: underline; color: #000000;">HS</span><span style="color: #000000;"> (Human Security) in small municipalities with large rural areas affected by the confluence of different social and economic problems. Given the security conditions in the area, it was impossible to use a random sampling mechanism. Therefore, the data collected have a sample size that cannot be considered significant enough to make inferences using a </span><span style="text-decoration: underline; color: #000000;">frequentist</span><span style="color: #000000;"> statistics approach. The method to construct the index is illustrated using </span><span style="text-decoration: underline; color: #000000;">Miranda's</span><span style="color: #000000;"> data, a Colombian municipality exposed to decades of armed conflict. With the answers given by 55 interviewees to questions related to the armed conflict such as presence-absence reminders and retained values of violent events, a proposal of 36 indices was made, and two of them were selected for the study, following some statistical criteria. In the construction of one of these selected indices, we used information from binary variables and, for the other index, we used information from count data. The values obtained by both indices for the municipality of Miranda were, respectively, 46.4 and 35.8. According to </span><span style="text-decoration: underline; color: #000000;">HS</span><span style="color: #000000;"> experts, both values can be considered moderate levels in the perception of insecurity by residents of the municipality.</span></pre><!-- p, li { white-space: pre-wrap; } -->http://www.librelloph.com/journalofhumansecurity/article/view/653bayes theoremhuman securityindexlatent variableprincipal component analysis
spellingShingle José Rafael Tovar Cuevas
Juan David Díaz Mutis
Sandra Balanta Cobo
Luis Miguel Tovar Cuevas
Measuring HS in Small, Vulnerable Municipalities: A Quantitative Approach
Journal of Human Security
bayes theorem
human security
index
latent variable
principal component analysis
title Measuring HS in Small, Vulnerable Municipalities: A Quantitative Approach
title_full Measuring HS in Small, Vulnerable Municipalities: A Quantitative Approach
title_fullStr Measuring HS in Small, Vulnerable Municipalities: A Quantitative Approach
title_full_unstemmed Measuring HS in Small, Vulnerable Municipalities: A Quantitative Approach
title_short Measuring HS in Small, Vulnerable Municipalities: A Quantitative Approach
title_sort measuring hs in small vulnerable municipalities a quantitative approach
topic bayes theorem
human security
index
latent variable
principal component analysis
url http://www.librelloph.com/journalofhumansecurity/article/view/653
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