Disaggregate Analysis
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An analysis that explicitly recognizes the possibility of heterogeneity. There are two approaches to performing disaggregate analyses:
- Conducting separate analyses for each observation (e.g., estimating separate regression models for all observations in a repeated measures study).
- Conducting separate analyses for different sub-groups (e.g., estimating separate regression models for each state).
- Using Mixture Models.
Also known as
- Individual-level analysis (when the analysis is conducted at the respondent level).
- Segment-level analysis (when the analysis is conducted at the Segment level.