Date of Award


Document Type

Open Access Thesis




College of Arts and Sciences

First Advisor

Brian Habing


Goodness-of-fit criteria developed for the evaluation of item response functions have been examined by many scholars using different theories and criteria. A number of potential graphical analysis approaches, such as residual plots, have been described in literature, but have received little attention from researchers. While many tests of goodness-of-fit are available, those that incorporate the analysis of residuals may be most useful. The unmistakable presence of a pattern in the residual plot for the logistic model item response functions even when we know the model fits raises a red flag up and calls for greater analysis. This study explores different methods to improve residual plots for a 3-Parameter logistic model and determine if residual plots are truly useful in determining goodness of model-data fit