Evaluating assessment performance: Difference between revisions

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==Definition==
==Definition==


In order to perceive what makes assessments good or not, one must understand the following:
* Assessments must meet needs their of their use
* Assessments must meet needs their of their use
* Assessments must strive for truth
* Assessments must strive for truth
* Both requirements must be met, which is not easy, but possible
* Both requirements must be met, which is not easy, but possible
* Assessment is a business of creating understanding about reality
* 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==
==Result==

Revision as of 06:29, 13 February 2009



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:

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