Data management in metaanalytical procedures: Myths, realities and biases

The aim of the present paper is to highlight the importance of a correct data management and the preparation of a proper statistical value base in developing a meta-analysis. When dealing with meta-analytical procedures, research studies encounter a wide range of challenges, ranging from the classic...

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Main Author: Radu I. POPA
Format: Article
Language:English
Published: Transilvania University of Brasov Publishing House 2012-01-01
Series:Bulletin of the Transilvania University of Braşov: Series VII: Social Sciences, Law
Subjects:
Online Access:http://webbut.unitbv.ro/Bulletin/Series%20VII/BULETIN%20VII%20PDF/23_POPA_BUT-1%202012.pdf
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spelling doaj-8c64bb65dc2b481daeba44238fc0e7d02020-11-24T23:55:30ZengTransilvania University of Brasov Publishing HouseBulletin of the Transilvania University of Braşov: Series VII: Social Sciences, Law2066-77012066-771X2012-01-0151175180Data management in metaanalytical procedures: Myths, realities and biasesRadu I. POPAThe aim of the present paper is to highlight the importance of a correct data management and the preparation of a proper statistical value base in developing a meta-analysis. When dealing with meta-analytical procedures, research studies encounter a wide range of challenges, ranging from the classical value losses towards more modern coding or sampling biases. The theoretical and practical examples of this paper indicate that a meta-analytical approach is most useful and applicable when related to a clear problem specification, a correct coding scheme and the use of eligible study reports. http://webbut.unitbv.ro/Bulletin/Series%20VII/BULETIN%20VII%20PDF/23_POPA_BUT-1%202012.pdfmeta-analysiscoding protocolstudy descriptorsbias
collection DOAJ
language English
format Article
sources DOAJ
author Radu I. POPA
spellingShingle Radu I. POPA
Data management in metaanalytical procedures: Myths, realities and biases
Bulletin of the Transilvania University of Braşov: Series VII: Social Sciences, Law
meta-analysis
coding protocol
study descriptors
bias
author_facet Radu I. POPA
author_sort Radu I. POPA
title Data management in metaanalytical procedures: Myths, realities and biases
title_short Data management in metaanalytical procedures: Myths, realities and biases
title_full Data management in metaanalytical procedures: Myths, realities and biases
title_fullStr Data management in metaanalytical procedures: Myths, realities and biases
title_full_unstemmed Data management in metaanalytical procedures: Myths, realities and biases
title_sort data management in metaanalytical procedures: myths, realities and biases
publisher Transilvania University of Brasov Publishing House
series Bulletin of the Transilvania University of Braşov: Series VII: Social Sciences, Law
issn 2066-7701
2066-771X
publishDate 2012-01-01
description The aim of the present paper is to highlight the importance of a correct data management and the preparation of a proper statistical value base in developing a meta-analysis. When dealing with meta-analytical procedures, research studies encounter a wide range of challenges, ranging from the classical value losses towards more modern coding or sampling biases. The theoretical and practical examples of this paper indicate that a meta-analytical approach is most useful and applicable when related to a clear problem specification, a correct coding scheme and the use of eligible study reports.
topic meta-analysis
coding protocol
study descriptors
bias
url http://webbut.unitbv.ro/Bulletin/Series%20VII/BULETIN%20VII%20PDF/23_POPA_BUT-1%202012.pdf
work_keys_str_mv AT raduipopa datamanagementinmetaanalyticalproceduresmythsrealitiesandbiases
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