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Minimum aggregation level

As explained in Effective Data Analysis

A minimum aggregation level is the smallest permitted number of individuals represented in a reported aggregate subgroup.

A minimum aggregation level sets the smallest subgroup size allowed before aggregate results appear in a report. It helps prevent individuals from being identified through small breakouts. section 8.3.3

Apply the level as a reporting guardrail:

  • Set a minimum sample size appropriate to the statistical test. section 8.3.3
  • Suppress or combine groups with fewer than the permitted number of individuals. section 8.3.3
  • Reduce the number of simultaneous breakouts when consistently small groups make reporting unsafe. section 8.3.3

Employee engagement survey

A survey report uses a minimum aggregation level of five. Results for subgroups under five employees are hidden, and small teams receive fewer breakouts, protecting response anonymity. section 8.3.3

Figure 8.13 An employee engagement survey with multiple breakouts can accidentally deanonymize individuals in groups with few members. For example, the sales department has one EEOC group with n=1, making it easy to identify the person and their satisfaction.
figure

Inspect how overlapping breakouts can expose a subgroup with only one person and reveal that individual's satisfaction. section 8.3.3

How Effective Data Analysis covers it

How deep it goes
Defines a reporting threshold and prescribes suppression, combination, or fewer breakouts for small groups.
Examples
Uses an employee engagement survey with a five-person threshold and a sales subgroup containing one person.
What you can do after
Configure reports to suppress or combine undersized groups and limit risky combinations of breakouts.
How it connects
Connects sample size, data aggregation, anonymization, deanonymization, and survey analysis.

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.