Data Management in Meta-analytical Procedures: Myths, Realities, and Biases
Keywords:
meta-analysis, coding protocol, study descriptors, biasAbstract
The aim of the present paper is to highlight the importance of 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 classical value losses to 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.Downloads
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Copyright (c) 2012 Bulletin of the Transilvania University of Braşov. Series VII: Social Sciences • Law
This work is licensed under a Creative Commons Attribution 4.0 International License.