Assessment tool for training analysis
First Claim
1. A method for eliminating respondent information bias in a data processing system comprising:
- establishing baseline responses for later reference;
specifying a tolerance band to the baseline responses;
presenting to a respondent a first survey question wherein the first survey question comprises two or more multiple-choice responses;
having the respondent select one response for the first survey question;
implementing a review logic process by comparing the baseline response to the first survey question response to determine whether a justification will be elicited from the respondent; and
,eliciting justification for the response to the first survey question from the respondent if the response is not within the tolerance band for eliminating respondent bias, wherein the justification comprises presenting a sentence and, having the respondent complete the sentence.
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Abstract
An automated interactive form of data collection is disclosed that addresses the deficiencies of the standard method of personal interviews and the typical paper-based and computer-based surveys. Subject Matter Experts (SMEs) can provide data in a faster, more accurate and comprehensive manner, while providing the justification of their responses immediately. Using these data, an instructional analyst can continue the Instructional Systems Design process utilizing SME data that are complete and conclusive, without the need for extensive follow-up questioning. The database files generated by the survey software are available to the analyst for analysis and inclusion in the resulting training system analysis document.
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Citations
2 Claims
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1. A method for eliminating respondent information bias in a data processing system comprising:
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establishing baseline responses for later reference; specifying a tolerance band to the baseline responses; presenting to a respondent a first survey question wherein the first survey question comprises two or more multiple-choice responses; having the respondent select one response for the first survey question; implementing a review logic process by comparing the baseline response to the first survey question response to determine whether a justification will be elicited from the respondent; and
,eliciting justification for the response to the first survey question from the respondent if the response is not within the tolerance band for eliminating respondent bias, wherein the justification comprises presenting a sentence and, having the respondent complete the sentence.
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2. A method for eliminating respondent information bias in a data processing system comprising:
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establishing baseline responses for later reference; specifying a tolerance band to the baseline responses; presenting to a respondent a first survey question wherein the first survey question comprises two or mare multiple-choice responses; having the respondent select one response for the first survey question; implementing a review logic process by comparing the baseline response to the first survey question response to determine whether a justification will be elicited from the respondent; and
,eliciting justification for the response to the first survey question from the respondent if the response is not within the tolerance band for eliminating respondent bias, wherein the justification comprises presenting a sentence and, having the respondent complete the sentence orally.
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Specification