{"id":230,"date":"2025-10-03T17:40:51","date_gmt":"2025-10-03T21:40:51","guid":{"rendered":"https:\/\/pressbooks.bccampus.ca\/foundationsofevaluation\/?post_type=chapter&p=230"},"modified":"2026-05-26T14:18:55","modified_gmt":"2026-05-26T18:18:55","slug":"8-1-highlights","status":"publish","type":"chapter","link":"https:\/\/pressbooks.bccampus.ca\/foundationsofevaluation\/chapter\/8-1-highlights\/","title":{"raw":"8.1 Highlights","rendered":"8.1 Highlights"},"content":{"raw":"
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Highlights<\/p>\r\n\r\n<\/header>\r\n

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  • Effect analysis<\/strong>:<\/strong> Effect analysis focuses on identifying the results of the intervention, determining whether the intervention makes a difference, in what way, for whom, and whether the observed effects can be attributed to the intervention.<\/li>\r\n \t
  • Research designs<\/strong>: <\/strong>Experiments were traditionally associated with effect analysis. Many different designs exist to answer effect analysis questions, each with its own strengths and threats to validity.<\/li>\r\n \t
  • Choosing the right design for an effect analysis<\/strong>: <\/strong>The purpose of the evaluation, the characteristics of the intervention and its implementation context are likely the main factors to consider when choosing an approach for effect analysis.<\/li>\r\n \t
  • Contribution analysis<\/strong>: Contribution analysis is a theory-based approach for effect analysis better suited for evaluating complex interventions.<\/li>\r\n \t
  • Impact analysis<\/strong>: Impact analysis is an umbrella term that encompasses a wide range of research designs, including experimental and quasi-experimental designs and contribution analysis.<\/li>\r\n \t
  • Impacts on planetary health<\/strong>: <\/strong>While some impact or effects analysis designs can readily integrate planetary health considerations, experimental or quasi-experimental designs may require a mixed-methods approach.<\/li>\r\n \t
  • Outcome harvesting<\/strong>: <\/strong>Outcome harvesting is an approach designed to identify effects in changing contexts. This approach is useful to understand social change processes.<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n ","rendered":"
    \n
    \n

    Highlights<\/p>\n<\/header>\n

    \n
    \n
      \n
    • Effect analysis<\/strong>:<\/strong> Effect analysis focuses on identifying the results of the intervention, determining whether the intervention makes a difference, in what way, for whom, and whether the observed effects can be attributed to the intervention.<\/li>\n
    • Research designs<\/strong>: <\/strong>Experiments were traditionally associated with effect analysis. Many different designs exist to answer effect analysis questions, each with its own strengths and threats to validity.<\/li>\n
    • Choosing the right design for an effect analysis<\/strong>: <\/strong>The purpose of the evaluation, the characteristics of the intervention and its implementation context are likely the main factors to consider when choosing an approach for effect analysis.<\/li>\n
    • Contribution analysis<\/strong>: Contribution analysis is a theory-based approach for effect analysis better suited for evaluating complex interventions.<\/li>\n
    • Impact analysis<\/strong>: Impact analysis is an umbrella term that encompasses a wide range of research designs, including experimental and quasi-experimental designs and contribution analysis.<\/li>\n
    • Impacts on planetary health<\/strong>: <\/strong>While some impact or effects analysis designs can readily integrate planetary health considerations, experimental or quasi-experimental designs may require a mixed-methods approach.<\/li>\n
    • Outcome harvesting<\/strong>: <\/strong>Outcome harvesting is an approach designed to identify effects in changing contexts. This approach is useful to understand social change processes.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n

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