{"@context":{"dc":"http:\/\/purl.org\/dc\/elements\/1.1\/","skos":"http:\/\/www.w3.org\/2004\/02\/skos\/core#","skos:broader":{"@type":"@id"},"skos:inScheme":{"@type":"@id"},"skos:related":{"@type":"@id"},"skos:narrower":{"@type":"@id"},"skos:hasTopConcept":{"@type":"@id"},"skos:topConceptOf":{"@type":"@id"}},"@id":"https:\/\/symsksdss.ufuture.eu\/tematres_sym\/vocab\/xml.php?skosTema=77","@type":"skos:Concept","skos:prefLabel":{"@language":"en-EN","@value=":"Do-nothing baseline"},"skos:inScheme":"https:\/\/symsksdss.ufuture.eu\/tematres_sym\/vocab\/","dct:created":"2024-04-20 20:45:17","dct:modified":"0000-00-00 00:00:00","skos:note":[{"@lang":"en-EN","@value":"Anderson-Cook, Christine M. \"Experimental and quasi-experimental designs for generalized causal inference.\" (2005): 708-708. "}],"skos:definition":[{"@lang":"en-EN","@value":"In decision-making analysis, especially within experimental or evaluative research settings, a \"Do-Nothing Baseline\" refers to a control scenario in which no intervention or new action is taken. This baseline is used to establish the effects and outcomes of inaction, providing a comparative measure against which the impacts of various interventions or decisions can be assessed.\nThe Do-Nothing Baseline is a critical reference point in experimental designs, helping stakeholders and decision-makers understand the implications of non-action and providing a clearer benchmark against which to measure the efficacy and necessity of different intervention choices. "}]}