Publication Date
2025
Advisor(s) - Committee Chair
Reagan Brown, Aaron Wichman, Katrina Burch
Degree Program
Department of Psychology
Degree Type
Master of Science
Abstract
The Mantel-Haenszel (MH) method is a statistical method used for differential item functioning analysis. Previous differential item functioning (DIF) research of the MH method focused on Type I error rates and statistical power. Not yet studied in the literature is whether excessive numbers of biased items may cause the MH method to fail to identify biased items. The proposed study employed a Monte Carlo design to determine the extent of bias in the match items necessary for the MH method to fail to identify a biased item. Results showed that the threshold was greater than was hypothesized, requiring nearly all of the test items to be biased before Type II errors were observed.
Disciplines
Applied Statistics | Industrial and Organizational Psychology | Physical Sciences and Mathematics | Psychology | Social and Behavioral Sciences | Statistics and Probability
Recommended Citation
Daulton, Macy, "A MONTE CARLO STUDY OF THE EFFICACY OF THE MANTEL-HAENSZEL METHOD AT DETECTING ITEM BIAS" (2025). Masters Theses & Specialist Projects. Paper 3830.
https://digitalcommons.wku.edu/theses/3830