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Creating Vocabulary Item Types That Measure Students' Depth of Semantic Knowledge. Research Report. ETS RR-14-02

Authors :
Deane, Paul
Lawless, René R.
Li, Chen
Sabatini, John
Bejar, Isaac I.
O'Reilly, Tenaha
Source :
ETS Research Report Series. Jun 2014.
Publication Year :
2014

Abstract

We expect that word knowledge accumulates gradually. This article draws on earlier approaches to assessing depth, but focuses on one dimension: richness of semantic knowledge. We present results from a study in which three distinct item types were developed at three levels of depth: knowledge of common usage patterns, knowledge of broad topical associations, and knowledge of specific conceptual relationships. We attempted to avoid common sources of variance across items (such as attractive distracters) and hypothesized that the item types that required greater depth of semantic knowledge would tend to show greater difficulty and discrimination after other sources of variance were accounted for. Our results, while still exploratory, support the conclusion that the item types measure different aspects of lexical knowledge, consistent with the hypothesis of increasing semantic depth.

Details

Language :
English
ISSN :
2330-8516
Database :
ERIC
Journal :
ETS Research Report Series
Publication Type :
Academic Journal
Accession number :
EJ1109272
Document Type :
Journal Articles<br />Reports - Research