Methods and systems for assessing latent traits using probabilistic scoring
First Claim
1. A method for assessing a latent trait in a test subject, comprising the steps of:
- providing a graphical user interface for allowing the input of a test subject'"'"'s first test item responses to a plurality of first test items that are administered to the test subject to elicit the first test item responses from the test subject;
receiving the test subject'"'"'s responses to at least an initial first test item and a subsequent first test item;
determining, using one or more processors, an initial first sub-region probability of the test subject lying within a first sub-region of a first latent trait from the test subject'"'"'s response to the initial first test item; and
determining, using one or more processors, a subsequent first sub-region probability of the test subject lying within the first sub-region of the first latent trait using;
the test subject'"'"'s response to the subsequent first test item to ascertain a conditional response probability, andthe initial first sub-region probability as a prior first sub-region probability.
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Abstract
A method and system for assessing a latent trait such as a psychiatric disorder in a test subject. The method includes receiving a test subject'"'"'s responses to test items that are administered to the test subject to elicit the responses from the test subject. An initial first sub-region probability of the test subject lying within a first sub-region of a first latent trait is determined from the test subject'"'"'s response to the initial first test item. A subsequent first sub-region probability of the test subject lying within the first sub-region of the first latent trait is then determined using the test subject'"'"'s response to the subsequent first test item to ascertain a conditional response probability, and using the initial first sub-region probability as a prior first sub-region probability. The method and system can be used to more accurately and/or more rapidly assess one or more latent traits in a test subject.
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Citations
37 Claims
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1. A method for assessing a latent trait in a test subject, comprising the steps of:
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providing a graphical user interface for allowing the input of a test subject'"'"'s first test item responses to a plurality of first test items that are administered to the test subject to elicit the first test item responses from the test subject; receiving the test subject'"'"'s responses to at least an initial first test item and a subsequent first test item; determining, using one or more processors, an initial first sub-region probability of the test subject lying within a first sub-region of a first latent trait from the test subject'"'"'s response to the initial first test item; and determining, using one or more processors, a subsequent first sub-region probability of the test subject lying within the first sub-region of the first latent trait using; the test subject'"'"'s response to the subsequent first test item to ascertain a conditional response probability, and the initial first sub-region probability as a prior first sub-region probability. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A method for assessing a latent trait in a test subject, comprising the steps of:
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(a) administering, through a graphical user interface, a test item from a plurality of first test items to a test subject to elicit a response to the first test item from the test subject; (b) determining, using one or more processors, sub-region probabilities of the test subject lying within each of a plurality of sub-regions of a first latent trait from the test subject'"'"'s response to the first test item; (c) determining, using the one or more processor, a differential probability value between at least first and second adjacent sub-regions of the first latent trait; and (d) repeating steps (a) to (c) until the differential probability value between the first and second sub-regions is a terminus differential probability value that meets or exceeds a threshold differential probability value. - View Dependent Claims (27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37)
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Specification