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Deliverable D 1.3 RESULTS OF META-ANALYSIS ... - cast-eu.org

Deliverable D 1.3 RESULTS OF META-ANALYSIS ... - cast-eu.org

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Campaigns and awareness raising strategies in traffic safety — <strong>Deliverable</strong> D-1.12.2 THE TASKS <strong>OF</strong> WP1Four tasks were proposed in WP1 (Annexe 1 – “Description of work”)• Task 1.1 – Workshop on theories of behaviour and effects of campaigns:“State-of-the-art”• Task 1.2 – Effects of campaigns on behaviour and accidents, campaignsstrategies and “best practices”• Task <strong>1.3</strong> – Road user behaviour and behaviour models• Task 1.4 – Key elements for evaluation2.2.1 Task 1.1 “Workshop on theories and models”WP1 started with a workshop where the partners came together andestablished a common base of knowledge regarding partners’ experiences oftheories of behaviour, road user modelling, and effects of campaigns which insum contributed to the exchange and discussion of joint knowledge andcompetence in this field.Partners were especially encouraged to come up with national experiences oncampaigns, evaluation of campaigns and campaigns effects. Partners specifythe following activities: Results from the workshop were summarized in aWorking Paper (CAST WP1 working paper: Summary of OSLO workshop:Workshop on theories of behaviour and effects of campaigns: “State-of-theart”-October2006)2.2.2 Task 1.2: Effects of campaigns on behaviour and accidents, campaignsstrategies and “best practices”The GADGET project sampled a total of 265 studies (Delhomme et al, 1999).Only 30 of these were appraisedto comply with evaluation design standards that were judged necessary to beincluded in the subsequent meta-analyses that were done in the GADGETproject. WP1 will use the same strategy as the one used in the GADGETproject:A literature search in all accessible and relevant databases andselecting studies which have a satisfactory evaluation design suitable formeta-analysis.In the CAST-project individual campaigns are coded according to campaigncharacteristics that have been identified across all campaigns in the database,i.e. common characteristics. In turn, these characteristics will be used aspredictors in a regression model suited for subsequent meta-regression. Asearch for the accumulated accession of studies since the GADGET-project todate, has been done.In meta-regression the partial effects of the predictors are analysed andestablished in order to identify the key elements of campaigns, i.e. thepredictors that seem to contribute to the effect, if any. The database has beenfurther expanded by including studies from partners’ countries. All CAST-15

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