Study Confirms "Gold Standard" Quality of ETS's SourceRater(SM)
Text Complexity Measurement Tool Outperforms Pearson(R) and Lexile(R) Approaches
(firmenpresse) - PRINCETON, NJ -- (Marketwire) -- 12/19/11 -- According to an independent research report, ETS's SourceRater(SM) service, a comprehensive text analysis system designed to help teachers and test developers evaluate the complexity characteristics of texts selected for use in instruction and assessment, outperformed both the Pearson® Reading Maturity Metric and The Lexile Framework® from MetaMetrics®.
The research was conducted by Jessica Nelson, Charles Perfetti, David Liben, and Meredith Liben under a grant from Student Achievement Partners. During the study, gold standard text complexity measures were defined for each of seven different passage collections, including those used to define levels for the Common Core State Standards (CCSS).
The SourceRater service yielded the highest correlation with these "gold standard" text complexity measures in five comparisons, and the second highest correlation in one comparison. While the SourceRater service performed very well on low grade-level texts, the study also recognized it as being more accurate than competing products when scoring high grade-level texts. The Lexile Framework yielded lower correlations in all six comparisons, as did other measures, including the ATOS readability formula, Degrees of Reading Power (DRP) and REAding Practice (REAP).
The SourceRater service helps teachers and test developers accomplish the following types of tasks:
- Provides accurate, unbiased feedback about the expected grade level of a text, as specified in the CCSS. Teachers and test developers can use this feedback to ensure that selected passages exhibit targeted complexity characteristics.
Users can quickly drill down to the specific dimensions of variation (e.g., Vocabulary Difficulty, Syntactic Complexity, Degree of Academic Orientation, Cohesion, etc.) likely to be most useful for adjusting difficulty in the desired direction (i.e., either up or down). Sorting and highlighting tools facilitate efficient access to the individual words and sentences likely to be most useful for implementing desired adjustments.
- Numerical and graphical summaries formatted for presentation to technical review committees can help test developers document alignment with targeted text complexity standards.
"The SourceRater Analysis Module employs a variety of natural language processing techniques to extract evidence of text standing relative to eight construct-relevant dimensions of text variation," explains Scott Weaver, ETS Vice President and Chief Strategy Officer. "It also includes an innovative Feedback Module designed to help users understand and compare the individual complexity drivers detected in individual texts. It was these factors and the robust approach developed by ETS's Research and Development scientists that contributed most to the SourceRater service's recognition by Student Achievement Partners."
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Tom Ewing
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Datum: 19.12.2011 - 11:01 Uhr
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