Recommendations for Increasing the Transparency of Analysis of Preexisting Data Sets

Volume: 2, Issue: 3, Pages: 214 - 227
Published: Jun 11, 2019
Abstract
Secondary data analysis, or the analysis of preexisting data, provides a powerful tool for the resourceful psychological scientist. Never has this been more true than now, when technological advances enable both sharing data across labs and continents and mining large sources of preexisting data. However, secondary data analysis is easily overlooked as a key domain for developing new open-science practices or improving analytic methods for...
Paper Details
Title
Recommendations for Increasing the Transparency of Analysis of Preexisting Data Sets
Published Date
Jun 11, 2019
Volume
2
Issue
3
Pages
214 - 227
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.