Using Classification and Regression Trees (CART) and Random Forests to Analyze Attrition: Results From Two Simulations Article

Hayes, Timothy, Usami, Satoshi, Jacobucci, Ross et al. (2015). Using Classification and Regression Trees (CART) and Random Forests to Analyze Attrition: Results From Two Simulations . PSYCHOLOGY AND AGING, 30(4), 911-929. 10.1037/pag0000046

Open Access International Collaboration

cited authors

  • Hayes, Timothy; Usami, Satoshi; Jacobucci, Ross; McArdle, John J

authors

publication date

  • December 1, 2015

published in

keywords

  • Geriatrics & Gerontology
  • Gerontology
  • INFERENCE
  • LONELINESS
  • Life Sciences & Biomedicine
  • MAXIMUM-LIKELIHOOD-ESTIMATION
  • MISSING-DATA
  • Psychology
  • Psychology, Developmental
  • Science & Technology
  • Social Sciences
  • WEIGHTS
  • attrition
  • classification and regression trees (CART)
  • longitudinal data analysis
  • machine learning
  • missing data analysis

Digital Object Identifier (DOI)

publisher

  • AMER PSYCHOLOGICAL ASSOC

start page

  • 911

end page

  • 929

volume

  • 30

issue

  • 4