{"query_echo":{"q":"","filters":{"analysis_type":["survey design"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'survey design' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=survey+design","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-001887","url":"https://climateinsightsdirectory.org/document/sei-001887","title":"COUNTY ENERGY PLANNING IN KENYA: LOCAL PARTICIPATION & SOLUTIONS IN MIGORI COUNTY","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2016","source_url":"https://www.sei.org/mediamanager/documents/Publications/SEI-WP-2016-01-Kenya-county-energy-planning-appendices.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document consists of two appendices: a comprehensive household survey questionnaire and a matrix of potential citizen participation avenues. The survey collects detailed data on household characteristics, the use of various energy sources (including grid electricity, solar PV, kerosene, and biomass), and the impact of energy access on health and education. The participation framework identifies the roles of women's groups, youth groups, community leaders, and administration in mobilizing resources, advocating for services, and implementing energy projects in Migori County.","ai_generated":true,"unit":"sei-001887#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The survey instrument is designed to capture a wide array of energy sources used in Migori County households, ranging from modern services like \"Electricity from interconnected grid or isolated system\" and \"Solar PV home system\" to traditional fuels such as \"Firewood\", \"Animal dung\", and \"Crop residue\".","ai_generated":true,"unit":"sei-001887#insight-1","date_modified":"2026-10-23"},{"text":"The research identifies specific barriers to grid electricity adoption, including the unavailability of electricity in certain areas, inability to pay connection or wiring fees, and the inability to afford monthly payments or electrical equipment.","ai_generated":true,"unit":"sei-001887#insight-2","date_modified":"2026-10-23"},{"text":"The survey assesses the perceived impact of electricity on social outcomes, specifically its importance for \"children’s education\" and its ability to provide \"information and the news\".","ai_generated":true,"unit":"sei-001887#insight-3","date_modified":"2026-10-23"},{"text":"The document outlines a framework for citizen participation in energy planning, suggesting that women's groups can contribute through \"Resource mobilization to promote energy technologies\" and \"Organizing education meetings\".","ai_generated":true,"unit":"sei-001887#insight-4","date_modified":"2026-10-23"},{"text":"Youth groups are identified as potential drivers for energy planning through \"Promoting and encouraging social audits\", \"Researching and writing proposals for community development projects\", and providing manpower for project implementation.","ai_generated":true,"unit":"sei-001887#insight-5","date_modified":"2026-10-23"},{"text":"Community leaders are viewed as essential for \"Influencing decisions through involvement of various groups\" and acting as \"role models by embracing new technologies and services such as M-Kopa\".","ai_generated":true,"unit":"sei-001887#insight-6","date_modified":"2026-10-23"},{"text":"The administrative role in energy planning involves \"Civic education on alternatives sources of energy\", \"Generating data about sources and uses of energy\", and \"Planning at ward level through ward forums\".","ai_generated":true,"unit":"sei-001887#insight-7","date_modified":"2026-10-23"}],"climate_tags":["biomass","public participation","energy access"],"geography_discussed":["Suna Central","Suna West","Kuria East","Nyatike","Muhuru Bay"],"frame_perspective":[],"analysis_type":["survey design","framework development"]},{"id":"ucs-000677","url":"https://climateinsightsdirectory.org/document/ucs-000677","title":"Driving the Fox from the Henhouse Improving Oversight of Food Safety at the FDA and USDA","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"report","language":"en","date_published":"2010-07-29","source_url":"https://www.ucs.org/sites/default/files/2019-09/food-safety-survey-methodology.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report details the implementation of a survey conducted by the Union of Concerned Scientists (UCS) and Iowa State University's Center for Survey Statistics and Methodology (CSSM) to examine the role of science and government oversight in food safety. It outlines the sampling process for 8,122 employees across the FDA, USDA Food Safety and Inspection Service (FSIS), and USDA Agriculture Research Service (ARS), the data collection procedures used between March and May 2010, and the resulting response rate of 21.62%. The document also includes the full survey instrument, which investigates political interference in science, job satisfaction, and the influence of business interests on public health decisions.","ai_generated":true,"unit":"ucs-000677#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The final eligible sample for the survey consisted of 7,911 individuals, with a total of 1,710 responses received, resulting in an overall response rate of 21.62%.","ai_generated":true,"unit":"ucs-000677#insight-1","date_modified":"2026-10-23"},{"text":"Response rates varied by agency, with the Agricultural Research Service (ARS) showing the highest participation at 33.73%, followed by the Food Safety and Inspection Service (FSIS) at 22.30% and the Food and Drug Administration (FDA) at 19.27%.","ai_generated":true,"unit":"ucs-000677#insight-2","date_modified":"2026-10-23"},{"text":"The survey sample was composed of 4,995 FSIS employees, 2,874 FDA employees, and 253 ARS employees, totaling 8,122 records.","ai_generated":true,"unit":"ucs-000677#insight-3","date_modified":"2026-10-23"},{"text":"Data collection was hindered by inconsistent agency support; while the FSIS eventually confirmed the survey was legitimate, some FDA directors initially labeled it an \"unsanctioned survey,\" which led some employees to believe they should not participate.","ai_generated":true,"unit":"ucs-000677#insight-4","date_modified":"2026-10-23"},{"text":"The survey instrument was designed to measure several specific areas of scientific integrity, including requests to \"inappropriately exclude or alter technical information,\" the use of \"incomplete, inaccurate or misleading information,\" and the influence of \"business interests\" on public health.","ai_generated":true,"unit":"ucs-000677#insight-5","date_modified":"2026-10-23"}],"climate_tags":["public health"],"geography_discussed":["Washington, D.C.","Iowa"],"frame_perspective":[],"analysis_type":["methodology report","survey design"]}]}