Polynomial Regression and Measurement Error: Implications for Information Systems Research Article

Aguirre-Urreta, Miguel, Ronkko, Mikko, Hu, Jiang. (2020). Polynomial Regression and Measurement Error: Implications for Information Systems Research . DATA BASE FOR ADVANCES IN INFORMATION SYSTEMS, 51(3), 55-80.

Open Access International Collaboration

cited authors

  • Aguirre-Urreta, Miguel; Ronkko, Mikko; Hu, Jiang

authors

publication date

  • August 1, 2020

published in

keywords

  • Attenuation
  • Computer Science
  • Computer Science, Information Systems
  • EXPECTATION DISCONFIRMATION
  • INDICATOR
  • Information Science & Library Science
  • Latent Variables
  • MODELS
  • MULTIPLE-REGRESSION
  • Measurement Error
  • Nonlinear SEM
  • PARTIAL LEAST-SQUARES
  • Polynomial Regression
  • Science & Technology
  • TRUST
  • Technology

publisher

  • ASSOC COMPUTING MACHINERY

start page

  • 55

end page

  • 80

volume

  • 51

issue

  • 3