Research Interests

Kim Barchard is a methodologist, whose research focuses on statistical, psychometric, and research methodology. Her research has covered a range of issues, including inferential procedures for reliability, the effectiveness of data checking methods, mode and proportion consensus scoring, and the quantitative scoring of open-ended tests.

Barchard’s current research focuses on three areas. (1) She examines the effects of data point censoring on bivariate and multivariate relations and explores the effectiveness of methods that correct for censoring. (2) She designs measures of psychological variables related to climate change and assists in the design of studies to understand and solve environmental problems. (3) She also collaborates with other faculty on the design and evaluation of psychological measures on a variety of topics.

Barchard teaches statistics and test development at the graduate and undergraduate levels. Her 2001 doctoral degree in psychometrics covered both test development and the use of statistics in psychology.