{"id":{"repo_id":"sheffield-hallam","oai_identifier":"oai:shura.shu.ac.uk:19331"},"canonical_url":"https://search.dev.ndltd.org/etd/sheffield-hallam/oai:shura.shu.ac.uk:19331","repository":{"repo_id":"sheffield-hallam","name":"Sheffield Hallam University","base_url":"https://shura.shu.ac.uk/cgi/oai2"},"display":{"title":"Understanding 'what works': Evidence based regional policy making in England.","abstract":"CONCLUSIONS: A central finding of the thesis is the need for a more nuanced approach to the generation and use of evidence. This is in contrast to imposing a quality criteria specific to one type of study design (e.g. experimental methods) or allowing for cherry-picked and unsystematic evidence use within policy making processes. It is also argued that the development of a knowledge translation tool, operationalised through an evaluation and monitoring framework from the start of an organisation's existence, may facilitate the collection of more appropriate, decision-relevant data linked to an underlying programme theory. This would enable a tangible understanding of how data is to be aggregated, highlight any knowledge gaps and facilitate data-linking to other intelligence sources. The inclusion of policy makers early in the research process may also enable the generation of problem-driven evidence and shape an understanding of how such evidence supports decision making.","abstract_html":"CONCLUSIONS: A central finding of the thesis is the need for a more nuanced approach to the generation and use of evidence. This is in contrast to imposing a quality criteria specific to one type of study design (e.g. experimental methods) or allowing for cherry-picked and unsystematic evidence use within policy making processes. It is also argued that the development of a knowledge translation tool, operationalised through an evaluation and monitoring framework from the start of an organisation's existence, may facilitate the collection of more appropriate, decision-relevant data linked to an underlying programme theory. This would enable a tangible understanding of how data is to be aggregated, highlight any knowledge gaps and facilitate data-linking to other intelligence sources. The inclusion of policy makers early in the research process may also enable the generation of problem-driven evidence and shape an understanding of how such evidence supports decision making.","abstract_has_math":false,"creators":["Baxendale, Jessica Kate."],"institution":"Sheffield Hallam University (United Kingdom).","degree_name":"phd","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Wells, Peter","Wilson, Ian"],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015","date_published":"2015","updated_at":"2026-07-24T06:31:14Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Wells, Peter","Wilson, Ian"]},{"key":"dc:creator","label":"Author","values":["Baxendale, Jessica Kate."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015"]},{"key":"dc:date.issued","label":"Date","values":["2015"]},{"key":"dc:publisher.commercial","label":"Dc Publisher Commercial","values":["Sheffield Hallam University,"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department Not Provided."]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["Sheffield Hallam University (United Kingdom)."]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://shura.shu.ac.uk/19331/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["phd"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://shura.shu.ac.uk/19331/1/10694212.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["CONCLUSIONS: A central finding of the thesis is the need for a more nuanced approach to the generation and use of evidence. This is in contrast to imposing a quality criteria specific to one type of study design (e.g. experimental methods) or allowing for cherry-picked and unsystematic evidence use within policy making processes. It is also argued that the development of a knowledge translation tool, operationalised through an evaluation and monitoring framework from the start of an organisation's existence, may facilitate the collection of more appropriate, decision-relevant data linked to an underlying programme theory. This would enable a tangible understanding of how data is to be aggregated, highlight any knowledge gaps and facilitate data-linking to other intelligence sources. 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