NGO online disclosures index in the presence of auxiliary information

This study highlights the need for analysis of online disclosure practices followed by non-governmental organizations; furthermore, it justifies the crucial role of potential correlates of online disclosure practices followed by non-governmental organizations. We propose a novel index for analyzing...

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Main Authors: Ayesha Nazuk, Sadia Nadir, Ali R. Ansari, Raheel Nawaz, Baogui Xin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491747/?tool=EBI
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spelling doaj-cab9e6e75d214bb5aa9571cace47c7732020-11-25T01:29:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01159NGO online disclosures index in the presence of auxiliary informationAyesha NazukSadia NadirAli R. AnsariRaheel NawazBaogui XinThis study highlights the need for analysis of online disclosure practices followed by non-governmental organizations; furthermore, it justifies the crucial role of potential correlates of online disclosure practices followed by non-governmental organizations. We propose a novel index for analyzing the extent of online disclosure of non-governmental organizations (NGO). Using the information stored in an auxiliary variable, we propose a new estimator for gauging the average value of the proposed index. Our approach relies on the use of two factors: imperfect ranked-set sampling procedure to link the auxiliary variable with the study variable, and an NGO disclosure index under simple random sampling that uses information only about the study variable. Relative efficiency of the proposed index is compared with the conventional estimator for the population average under the imperfect ranked-set sampling scheme. Mathematical conditions required for retaining the efficiency of the proposed index, in comparison to the imperfect ranked set sampling estimator, are derived. Numerical scrutiny of the relative efficiency, in response to the input variables, indicates; if the variance of the NGO disclosure index is less than the variance of the estimator under imperfect ranked set sampling, then the proposed index is universally efficient compared to the estimator under imperfect ranked set sampling. If the condition on variances is unmet, even then the proposed estimator remains efficient if majority of the NGO share online data on the auxiliary variable. This work can facilitate nonprofit regulation in the countries where most of the non-governmental organizations maintain their websites.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491747/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Ayesha Nazuk
Sadia Nadir
Ali R. Ansari
Raheel Nawaz
Baogui Xin
spellingShingle Ayesha Nazuk
Sadia Nadir
Ali R. Ansari
Raheel Nawaz
Baogui Xin
NGO online disclosures index in the presence of auxiliary information
PLoS ONE
author_facet Ayesha Nazuk
Sadia Nadir
Ali R. Ansari
Raheel Nawaz
Baogui Xin
author_sort Ayesha Nazuk
title NGO online disclosures index in the presence of auxiliary information
title_short NGO online disclosures index in the presence of auxiliary information
title_full NGO online disclosures index in the presence of auxiliary information
title_fullStr NGO online disclosures index in the presence of auxiliary information
title_full_unstemmed NGO online disclosures index in the presence of auxiliary information
title_sort ngo online disclosures index in the presence of auxiliary information
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description This study highlights the need for analysis of online disclosure practices followed by non-governmental organizations; furthermore, it justifies the crucial role of potential correlates of online disclosure practices followed by non-governmental organizations. We propose a novel index for analyzing the extent of online disclosure of non-governmental organizations (NGO). Using the information stored in an auxiliary variable, we propose a new estimator for gauging the average value of the proposed index. Our approach relies on the use of two factors: imperfect ranked-set sampling procedure to link the auxiliary variable with the study variable, and an NGO disclosure index under simple random sampling that uses information only about the study variable. Relative efficiency of the proposed index is compared with the conventional estimator for the population average under the imperfect ranked-set sampling scheme. Mathematical conditions required for retaining the efficiency of the proposed index, in comparison to the imperfect ranked set sampling estimator, are derived. Numerical scrutiny of the relative efficiency, in response to the input variables, indicates; if the variance of the NGO disclosure index is less than the variance of the estimator under imperfect ranked set sampling, then the proposed index is universally efficient compared to the estimator under imperfect ranked set sampling. If the condition on variances is unmet, even then the proposed estimator remains efficient if majority of the NGO share online data on the auxiliary variable. This work can facilitate nonprofit regulation in the countries where most of the non-governmental organizations maintain their websites.
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491747/?tool=EBI
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