Original paper

Large sample size, significance level, and the effect size: Solutions to perils of using big data for academic research

Volume: 62, Pages: 89 - 96
Published: Oct 1, 2017
Abstract
The increasing availability of and attention to big data accumulated on different aspects of demand and supply side of industries has resulted in utilization of large samples for academic publications as well. Using large samples, however, creates the issue of guaranteed statistical significance and thus demands reporting the practical significance by using effect size measures. This manuscript is a guide to inform tourism and hospitality...
Paper Details
Title
Large sample size, significance level, and the effect size: Solutions to perils of using big data for academic research
Published Date
Oct 1, 2017
Volume
62
Pages
89 - 96
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.