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Teaching Psychometrics: The Importance of Validity in Assessment Design.

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Title: Teaching Psychometrics: The Importance of Validity in Assessment Design.
Authors: Coderre, Emily L.1 (AUTHOR) emily.coderre@med.uvm.edu
Source: College Teaching. Apr-Jun2024, Vol. 72 Issue 2, p135-139. 5p.
Subject Terms: *Teaching methods, *Test design, Psychometrics, Confounding variables
Abstract: Psychometrics is the field of designing tests and assessments to measure certain psychological concepts. It is chiefly concerned with two fundamental properties: reliability and validity. These properties are often influenced by confounding variables: other things that can influence performance but are not what you are trying to measure. Here, I describe how teaching an undergraduate course on psychometrics has reframed my views of assessments in teaching. The goal of any assessment is to accurately, or validly, measure students' knowledge and learning. This raises three questions that can influence assessment design, course structure, and teaching style: 1) Do deadlines really matter? 2) Should all assessments be offered multiple times? 3) How much do my assessments really measure student knowledge on this topic? In discussing each of these, I consider the ways in which evaluating how validity plays a role in our assessment design and teaching style can help us minimize confounding variables and ensure that students' grades reflect their learning. [ABSTRACT FROM AUTHOR]
Copyright of College Teaching is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Teaching Psychometrics: The Importance of Validity in Assessment Design.
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  Data: <searchLink fieldCode="JN" term="%22College+Teaching%22">College Teaching</searchLink>. Apr-Jun2024, Vol. 72 Issue 2, p135-139. 5p.
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  Data: Psychometrics is the field of designing tests and assessments to measure certain psychological concepts. It is chiefly concerned with two fundamental properties: reliability and validity. These properties are often influenced by confounding variables: other things that can influence performance but are not what you are trying to measure. Here, I describe how teaching an undergraduate course on psychometrics has reframed my views of assessments in teaching. The goal of any assessment is to accurately, or validly, measure students' knowledge and learning. This raises three questions that can influence assessment design, course structure, and teaching style: 1) Do deadlines really matter? 2) Should all assessments be offered multiple times? 3) How much do my assessments really measure student knowledge on this topic? In discussing each of these, I consider the ways in which evaluating how validity plays a role in our assessment design and teaching style can help us minimize confounding variables and ensure that students' grades reflect their learning. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of College Teaching is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/87567555.2022.2119929
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              Text: Apr-Jun2024
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