Doctor of Philosophy (PhD)
Educational Theory, Policy, and Practice
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 .51 and .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 (.48 and .69) or enough sensitivity (.61 and .73). Limitations and future implications are discussed.
Document Availability at the Time of Submission
Release the entire work immediately for access worldwide.
Schraven, Jodie, "Vocabulary matching : potential for a diagnostic performance indicator" (2014). LSU Doctoral Dissertations. 2574.