Executive Summary
A set of test questions (i.e., items) grouped around a common stimulus is often
referred to as a testlet. Testlets are found on the Law School Admission Test in the
Analytical Reasoning and Reading Comprehension sections. This research extends
current testlet theory by identifying and modeling the relationship between testlet
features and test-taker response behavior on testlets. Several estimation procedures
are developed, and a small simulation study shows that the procedures evaluated
produce similar results.
One of the purposes of this project is to select the testlet features with the best
prediction properties using text mining. This requires estimating the testlet model in the
presence of a very large number of testlets and respondents. To demonstrate the
feasibility of the estimation methods, a large-scale example is computed using data
from 49,256 test takers who were administered a subset from 594 items nested within
100 testlets.
Original language | English |
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Place of Publication | Newtown |
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Publisher | LSAC |
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Number of pages | 26 |
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Publication status | Published - 2012 |
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Name | LSAC Research Report Series |
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Publisher | LSAC |
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No. | 12-03 |
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