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Content validity

As explained in Effective Data Analysis

Content validity is the degree to which a measure comprehensively captures all relevant facets of the concept or process it is intended to measure.

Content validity is the degree to which a measure comprehensively captures all relevant facets of the concept or process it is intended to measure. It helps analysts determine whether their measures represent the phenomenon stakeholders care about, rather than only one visible part of it. section 6.3.2

Assess content validity by:

  • Conceptualizing the target construct and identifying its relevant facets. section 6.3.2
  • Reviewing theoretical concepts, peer-reviewed evidence, and existing measures. section 6.3.2
  • Asking subject-matter experts, especially stakeholders or colleagues who work directly with the process, to review the definitions and measures. section 6.3.2
  • Updating the assessment as new theories and evidence emerge in the domain. section 6.3.2

Employee job satisfaction

To measure employee job satisfaction, identify facets such as satisfaction with work tasks, the work environment, the manager, colleagues, and compensation. Use existing measures or develop items that assess each factor instead of relying on a single narrow indicator. section 6.3.2

Content or face validity is one form of validity. Construct validity addresses the intended theoretical construct, while criterion validity examines association with measures of similar constructs; reliability concerns consistency rather than coverage. section 6.4

How Effective Data Analysis covers it

How deep it goes
Explains qualitative review, expert judgment, evidence checking, and ongoing updates, then illustrates them with a multidimensional satisfaction measure.
Examples
Uses employee job satisfaction and facets including tasks, environment, manager, colleagues, and compensation.
What it assumes
Requires conceptualizing the target concept and identifying its relevant facets before selecting or creating measures.
What you can do after
Evaluate whether a measure comprehensively represents its intended concept through evidence review and expert judgment.
How it connects
Distinguishes content validity from construct validity, criterion validity, and reliability.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.