title: New approaches to missing data in psychological research: introduction to the special section.
abstract: Traditional approaches to missing data (e.g., listwise deletion) can lead to less than optimal results in terms of bias, statistical power, or both. This article introduces the 3 articles in the special section of Psychological Methods, which consider multiple imputation and maximum-likelihood methods, new approaches to missing data that can often yield improved results. Computer software is now available to implement these new methods.
authors.affiliation: Department of Psychology, Arizona State University, Tempe 85287-1104, USA. sgwest@asu.edu
authors.forename: S G
authors.initials: SG
authors.lastname: West
mesh_terms: D015982:Bias; D003625:Data Collection / Q000706:statistics & numerical data*; D006801:Humans; D016013:Likelihood Functions; D008432:Mathematical Computing; D011581:Psychological Tests / Q000706:statistics & numerical data*; D011589:Psychology, Experimental / Q000706:statistics & numerical data*; D011594:Psychometrics