Table 1 Operationalization of the categorization process using the “LANGUAGE” domain as an example
Goal | Steps | Example |
|---|---|---|
Organize, group, and appropriately label similar or “like” attributes | 1. Group attributes that are antonyms | • Complex/Simple |
2. Group attributes that are synonyms | • Unclear/Confusing | |
3. Group attributes with the same root | • Specific/Specificity | |
• Validity/Valid | ||
4. Sort database by attribute | ||
Categorize attributes into logical clusters | 5. Are there commonalities among attributes? | The following attributes can be grouped into a category called “Clarity” |
• Unambiguous | ||
• Precise | ||
6. Is there a central theme or focus among groups of attributes? | • Specific | |
Go through each cluster to determine sense and fit of attributes | 7. Do the attributes belong within the same cluster? | The following categories can be collapsed: |
8. Can they be collapsed? | • “Complexity” with “Information overload” | |
9. Use attribute definitions to make these decisions | ||
• “Actionability” (e.g., using active voice) with “Wording” | ||
Develop a definition for clusters | 10. Based on their included attributes and definitions, define and label the cluster | The LANGUAGE domain can be defined as: The clarity, precision, and specificity of the context and message of the guideline |