2018
DOI: 10.36108/ljerhrm/8102.01.0102
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An Assessment of the Reliability of Secondary Data in Management Science Research

Abstract: Secondary data (SD) provides major advantage in the use of existing data sources, with large amounts of information, at relatively cheaper cost and easily available for research purposes. In the database will be available through SD, which would be impossible to collect in prospective studies. But an unreliable data could impede on the quality of research results and conclusions. Critical examination of literatures in the course of the study has helped to identify tools that can aid the assessment of SD reliab… Show more

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Cited by 6 publications
(4 citation statements)
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“…We conducted secondary data analysis on this report as, firstly, it is the first of its kind to provide a country-by-country breakdown of total tax abuse, and, secondly, the sources and methodologies were described appropriately and transparently to assure their validity and reliability. Additionally, the reliability of secondary data can be verified if similar methods produce similar results [38]. The $427 billion figure annual global tax abuse is similar in scale with figures provided by others ($500-600 billion) [29][30][31].…”
Section: Plos Global Public Healthsupporting
confidence: 65%
“…We conducted secondary data analysis on this report as, firstly, it is the first of its kind to provide a country-by-country breakdown of total tax abuse, and, secondly, the sources and methodologies were described appropriately and transparently to assure their validity and reliability. Additionally, the reliability of secondary data can be verified if similar methods produce similar results [38]. The $427 billion figure annual global tax abuse is similar in scale with figures provided by others ($500-600 billion) [29][30][31].…”
Section: Plos Global Public Healthsupporting
confidence: 65%
“…Therefore, considering the highly dynamic and multifaceted reality of the response to COVID-19, the use of these two sources of information has become necessary. Moreover, Oladobe et al (2019) consider that special care should be taken in the interpretation and analysis of the reliability of data obtained from secondary sources. In this sense, only official secondary sources of information issued by representatives of Tech4Covid were used, and the respective analysis of the data led to consider the period in which they were presented.…”
Section: Methodsmentioning
confidence: 99%
“…Stringent criteria were applied during screening to ensure the dataset included accurate representations of diverse heritage goods and soil and rice fields, reflecting real-world scenarios. Initial screening assessed the quality and reliability of the dataset, with obscure goods significantly excluded [42]. To maintain dataset integrity, goods had to be clearly and accurately identified, avoiding ambiguity and enabling their use for subsequent analysis and modeling tasks [43].…”
Section: Methodsmentioning
confidence: 99%