Quantitative Psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods, and psychological measurement exist none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area.

Missing Data

Missing data


Missing data are ubiquitous in psychological research. By missing data, I mean data that are missing for some (but not all) variables and for some (but not all) cases. If data are missing on a variable for all cases, then that variable is said to be latent or unobserved. On the other hand, if data are missing on all variables for some cases, we have what is known as unit non-response, as opposed to item non-response which is another name for the subject of this chapter. I will not deal with methods for latent variables or unit non-response here, although some of the methods we will consider can be adapted to those situations.

Why are missing data a problem? Because conventional statistical methods and ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles