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Subgroup Analysis

Analysis that involves dividing the analyzed full study sample into a subset of study participants, most often to make comparisons between them. While subgroup analyses can provide valuable information, they are most often observational, or correlational, analyses, as no proper comparison/control groups are included in these analyses. Under the review process, only the full study sample is scored (even if the study authors state clearly an “a priori” theoretical rationale for why the program or practice would be expected to work for a given subgroup and not another).

Analyses of subgroups are described in the Additional Information sections of program profiles, but the results do not impact the program’s overall evidence rating. Examples of subgroups that may be reported in program profiles include those categorized by sex (e.g., male versus female); race/ethnicity (e.g. black, Hispanic); age (e.g., older versus younger participants); setting (e.g., urban versus suburban versus rural); risk status (e.g., high-risk versus low-risk); family structure (e.g., single-parent versus two-parent household); delivery setting (e.g., community versus institutional); dosage (e.g., partial versus full implementation); and offense types (e.g., violent versus nonviolent offenders).