Evaluation Domains/List of Evaluation Domains

The purpose here is to create a Data Structure

• Encapsulation - when common patterns are grouped together under a single name and then parameterized, in order to achieve a higher-level understanding of that pattern.
  • For example an operation requires two source values and writes the product of those two values to a given destination. The operation is parameterized by both the two sources and the single destination.
• Abstraction- a mechanism to hide the implementation details of an abstraction away from the users of the abstraction.
  • For example, when we multiply numbers, we don't necessarily want to see the technique actually used by the processor, we just need to know its properties."
• node a container for a value that also has a pointer to the "next" node (which could be "null"
  • Value
  • Next
• Chain - A string of nodes

The technique used in obtaining some data from other data would be part of the metadata ("Data about data") for a given.

First, we can think of spreadsheets. However, imagine that you can right-click on any given spreadsheet cell, and see links to more cells and algorithms and sheets

We start with three sections:

1. Disciplines
2. Approaches
3. Evaluands

Within those, we have

1. Sub-Disciplines
   1. Categories of Evaluative Process
      1. Perceptual / Intuitive (Tag: Process)
      2. Inferential / Scientific (Tag: Process)
      3. Holistic v. Analytic (Tag: Descriptive)
      4. Component / Dimensional
2. Approaches
3. Evaluands

Expand that further, and we have:

1. Sub-Disciplines
   1. Categories of Evaluative Process
      1. Perceptual / Intuitive (Tag: Process)
         1. Perceptual <- Implies use of Sensory Organs
         2. Intuition <- Doesn’t imply use of sensory organs.
            1. Memory of Perceptions
            2. Heuristic Processes
            3. Conscious Logical Processes
      2. Inferential / Scientific (Tag: Process)
         1. Inferential <- Formalized
            1. Statistical
            2. Non-Statistical
            3. Formalized
         2. Scientific <- If it’s scientific its either inferential, or we would have to accept that trained intuition.
         3. Trained Intuition <- Intuition developed by comparison to baselines
            2. According to the
      3. Holistic v. Analytic (Tag: Descriptive)
         1. Holistic:
            1. Dimensional
         2. Analytic:
            1. Component
            2. Dimensional
2. Approaches
3. Evaluands