Dustin Fife

Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

Research Expertise: 
Missing Data | Data Visualization | Data Mining

Most statistical procedures assume (explicitly or implicitly) that samples were obtained using random selection. Rarely is this the case in Psychology, where convenience samples are frequently used. My research aims to discover how convenience sampling biases parameter estimates and how we can recover population parameters from biased samples. It turns out, if we consider non-random selection as a “missing data” problem, solutions are possible.

Aside from my main research area, I also spend a lot of time thinking and writing about, as well as programming algorithms for large-scale data mining operations. I have developed packages in R that aim to solve “small N, large p” type problems.

Honors and Awards:
Chuck Gettys Award for Outstanding Research in Graduate School, Department of Psychology at the University of Oklahoma, 2013 Best Paper Award, The Consortium for Student Retention Data Exchange (CSRDE), 2011

Member of:
Academic Educational Research Association

Education/Academic qualification

Doctor of Philosophy, doctorate, University of Oklahoma


Dive into the research topics where Dustin Fife is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or