Predictive validity was explored between vocabulary matching (VM) probe scores and the "integrated" Louisiana Education Assessment Program (iLEAP) social studies standardized subtest score for 224 sixth-grade students across demographic categories from one rural southeastern Louisiana school district. Multiple Linear Regression (MLR) conducted in the Statistical Package for the Social Sciences (SPSS, 2007) produced Pearson correlations between 0.51 and 0.70 for five benchmark probes for the entire sample. Predictive cutscores created using Receiver Operating Characteristic (ROC) curve analyses and a diagnostic accuracy application software program illustrated that VM cutscores did not correctly predict which students would pass or fail with enough specificity (0.48 and 0.69) or enough sensitivity (0.61 and 0.73). Limitations and future implications are discussed. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]