During the summers of 2015-2017, we performed standardized surveys across the known range of the Broad-headed Skink in eastern Kansas. We used a combination of drift fence arrays with funnel traps and visual encounter surveys (VES) to collect occurrence data on the Broad-headed Skink. A Canonical Correspondence Analysis (CCA) was used to determine which habitat variables explained the variation observed in the squamate assemblage. The position of the Broad-headed Skink was explained by average log length and overstory tree size. A secondary analysis implies the Broad-headed Skink is also associated with presence of Black Walnut (Juglans nigra). A logistic regression was used to determine which habitat variables were significant in predicting presence of the Broad-headed Skink. The variables from the most successful model included average log length, overstory tree size, understory tree dispersion, and overstory tree dispersion. These habitat attributes suggest the Broad-headed Skink prefers mature patches of forest, and habitat structure rather than tree species composition is more useful in predicting Broad-headed Skink presence.