Karla Egan, Ph.D., is a Research Manager. She manages a diverse group of Research Scientists and Research Associates, lending technical expertise and managerial support to her team. Her team is based in offices located across the United States and Canada, and team members work on a broad portfolio of large-scale assessments for state and district customers as well as CTB assessment products.

Dr. Egan serves as the lead Research Scientist for the Missouri MAP assessment and the DoDEA High School History assessment. She is the secondary Research Scientist for assessments in North Dakota and Bermuda.

She is an investigator in several different CTB Research & Development initiatives. Dr. Egan is the principal investigator on Detection of Cheating Through Hierarchical Growth Models, a project that explores ways aberrant scores can be detected through statistical modeling. She is a co-investigator on Aligning Achievement Level Descriptors to Mapped Item Demands Across Achievement Levels to Enhance Valid Interpretation of Scale Scores and Inform Item Development, a cross-disciplinary effort to explore the use achievement level descriptors (ALDs). She was also a co-investigator on Detecting and Deleting Anchor Set Items: Guidelines and Consequence, a project that explored the consequences on equating of removing anchor items.

Dr. Egan has been with CTB since 1999. Her current research focuses on standard setting and test security. She is the lead author of several papers on performance-level descriptors, including Performance Level Descriptors: History, Practice, and a Proposed Framework, which will be a chapter in the Second Edition of Gregory Cizek's book, Setting Performance Standards: Concepts, Methods, and Perspectives. Her work on test security has been presented at several national conferences, including NCME, ATP, and CCSSO.

Ph.D., Sociology, University of Massachusetts, Amherst
M.A., Sociology, University of Massachusetts, Amherst
B.A., Sociology, Truman State University


  • Standard setting
  • Validity
  • Aberrant score detection
  • Anchor item evaluation