Using implementation science to close the gap between the optimal and typical practice of quantitative methods in clinical science.

Volume: 128, Issue: 6, Pages: 547 - 562
Published: Aug 1, 2019
Abstract
Quantitative methods remain the fundamental approach for hypothesis testing, but in approaches to data analysis there is substantial evidence of a gap between what is optimal and what is typical. It is clear that diffusion and dissemination alone are not maximally effective at improving data analytic practices in clinical psychological science. Amid declines in quantitative psychology training, and growing demand for advanced quantitative...
Paper Details
Title
Using implementation science to close the gap between the optimal and typical practice of quantitative methods in clinical science.
Published Date
Aug 1, 2019
Volume
128
Issue
6
Pages
547 - 562
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.