Novel Statistical Approaches and Tools

The PASER Lab also works to create novel statistical methods and evaluate the performance of new techniques. This work involves method creation and simulation studies under a variety of conditions to study characteristics like power and Type I error control of the new statistical procedure.

Current Projects:

  • Issues in Testing Configural Invariance with Unequal Group Sample Sizes

  • Equivalence tests for Multiple Regression

Computer Programming

Recent Publications: 

  • Chalmers, R. P., Counsell, A., & Flora, D. (2016). It might not make a big DIF: Improved statistics for Differential Test Functioning. Educational and Psychological Measurement, 76, 114-140.

  • Counsell, A., & Cribbie, R. A. (2015). Equivalence tests for comparing correlation and  regression coefficients. British Journal of Mathematical and Statistical Psychology, 68, 292-309.