Too Small to Succeed: Small Samples and the p-Value Problem Article

Aguirre-Urreta, Miguel I, Ronkko, Mikko, McIntosh, Cameron N. (2024). Too Small to Succeed: Small Samples and the p-Value Problem . DATA BASE FOR ADVANCES IN INFORMATION SYSTEMS, 55(3), 12-49. 10.1145/3685235.3685238

Open Access International Collaboration

cited authors

  • Aguirre-Urreta, Miguel I; Ronkko, Mikko; McIntosh, Cameron N

sustainable development goals

authors

publication date

  • August 1, 2024

published in

keywords

  • Computer Science
  • Computer Science, Information Systems
  • DECISION
  • Equation Modeling
  • Estimation Bias
  • Information Science & Library Science
  • MANAGEMENT RESEARCH
  • METAANALYSIS
  • PARTIAL LEAST-SQUARES
  • PLS
  • PSYCHOLOGICAL-RESEARCH
  • PUBLICATION BIAS
  • Partial Least Squares (PLS)
  • Publication Bias
  • Regression
  • SCIENCE
  • SIZE
  • STATISTICAL POWER
  • Science & Technology
  • Simulation
  • Small Samples
  • Statistical Significance
  • Structural
  • Technology

Digital Object Identifier (DOI)

publisher

  • ASSOC COMPUTING MACHINERY

start page

  • 12

end page

  • 49

volume

  • 55

issue

  • 3