Data Management in Meta-analytical Procedures: Myths, Realities, and Biases

Authors

  • Radu I. Popa University of Bucharest, Romania

Keywords:

meta-analysis, coding protocol, study descriptors, bias

Abstract

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.

Author Biography

Radu I. Popa, University of Bucharest, Romania

Faculty of Psychology and Education Sciences

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Published

2012-10-03

Issue

Section

PSYCHOLOGY AND PEDAGOGY