Evaluating assessment performance: Difference between revisions
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* properties of good assessments is not an orthogonal set | |||
** applicability depends on quality of content, efficiency depends on quality of content and applicability |
Revision as of 08:01, 13 February 2009
This page is a lecture.
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Evaluating assessment performance is a lecture about the factors that constitute the performance, the goodness, of assessments and they can be evaluated within a single general framework. This page was converted into a lecture as there are other descriptive pages already existing about the same topic. The old content was archived and can be found here.
Scope
Purpose: To describe what assessments are about overall, what are the factors that constitute the overall performance of assessment, how they are interrelated, and how they can be evaluated.
Intended audience: Researchers (especially at doctoral student level) in any field of science (mainly natural, not social scientists).
Duration: 1 - 1.5 h
Definition
- Assessments must meet needs their of their use
- Assessments must strive for truth
- Both requirements must be met, which is not easy, but possible
- Assessment is a business of creating understanding about reality
In order to understand this lecture it is recommended to first acquaint oneself with the following lectures:
- Open assessment in research
- Assessments - science-based decision support
- Variables - interpretations of real-world phenomena
- Science necessitates collaboration
Result
- Introduction through analogy: mobile phone assessment (product) vs. mobile phone → product, production, use
- Performance related concepts in the context of assessments as science-based decision support: properties of good assessment
- Contemporary conventions: quality assurance/control and uncertainty assessment
- Assessments serve 2 masters: truth (science) and practical need (societal decision making, policy)
- Evaluation: points of reference and criteria,
- Properties of good assessments as a means of managing design and execution or evaluating past work
- properties of good assessments is not an orthogonal set
- applicability depends on quality of content, efficiency depends on quality of content and applicability