To remember for my poor memory:
Why this table is relevant?
When you are explaining complex models or concepts, it is interesting to divide the explanation of complex going from simple situations to a more complex ones. These degrees of difficulty can happen in many perspectives, and the table contains different view that could be use to teaching purposes.
| Comparisons | Description |
| Static versus dynamic | – Are important aspects of a situation captured by a fixed “snapshot,” or are the critical characteristics captured only by the changes from frame to frame? – Are phenomena static and scalar, or do they possess dynamic vector characteristics? |
| Discrete versus continuous | – Do processes proceed in discernible steps, or are they unbreakable continua? – Are attributes describable by a small number of categories (e.g., dichotomous classifications like large/small), or is it necessary to recognize and utilize entire continuous dimensions (e.g., the full dimension of size) or large numbers of categorical distinctions? |
| Separable versus interactive | Do processes occur independently or with only weak interaction, or is there strong interaction and interdependence? |
| Sequential versus simultaneous | Do processes occur one at a time, or do multiple processes occur at the same time? |
| Homogeneous versus heterogeneous | Are components or explanatory schemes uniform (or similar) across a system or are they diverse? |
| Single versus multiple representations | – Do elements in a situation afford single (or just a few) interpretations, functional uses, categorizations, and so on, or do they afford many? – Are multiple representations (e.g., multiple perspectives, schemas, analogies, case precedents, etc) required to capture and convey the meaning of a process or situation? |
| Mechanism versus organicism | – Are effects traceable to simple and direct causal agents, or are they the product of more system-wide, organic functions? – Can important and accurate understandings be gained by understanding just parts of the system, or must the entire system be understood for even the parts to be understood well? |
| Linear versus nonlinear | – Are functional relationships linear or nonlinear (i.e., are relationships between input and output variables proportional or non-proportional)? – Can a single line of explanation convey a concept or account for a phenomenon, or are multiple overlapping lines of explanation required for adequate coverage? |
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