{"query_echo":{"q":"","filters":{"analysis_type":["survey documentation"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'survey documentation' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=survey+documentation","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":"prio-001571","url":"https://climateinsightsdirectory.org/document/prio-001571","title":"Migration rhythms in trajectories of upward social mobility in Asia: Survey documentation","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2025","source_url":"https://cdn.cloud.prio.org/files/0ad90514-b3b5-4c60-bb59-e4776004d6db/Migration Rhythms - Survey documentation PRIO Paper 2025.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The MigrationRhythms project conducted a face-to-face survey in Hanoi, Karachi, Manila, and Mumbai to investigate the relationship between migration and upward social mobility among the lower-to-middle-middle class. The documentation describes a probability-based sampling method using random walks to identify 500 respondents per city. It details the use of SurveyCTO CAPI software for data collection, the development of a structured questionnaire covering socio-economic status and multi-generational migration histories, and the rigorous data cleaning and anonymization processes required to produce an open-access dataset for publication on Zenodo.","ai_generated":true,"unit":"prio-001571#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The survey targeted middle-middle and lower-middle class residents in four specific Asian cities: Karachi (Pakistan), Mumbai (India), Hanoi (Vietnam), and Manila (Philippines).","ai_generated":true,"unit":"prio-001571#insight-1","date_modified":"2026-10-23"},{"text":"The project defined 'middle class' based on living standards rather than income alone, incorporating factors such as housing type, vehicle ownership, education, and asset ownership.","ai_generated":true,"unit":"prio-001571#insight-2","date_modified":"2026-10-23"},{"text":"A probability-based sampling strategy was employed, utilizing stratified random sampling and random walks to select households in areas identified as 'predominantly middle class'.","ai_generated":true,"unit":"prio-001571#insight-3","date_modified":"2026-10-23"},{"text":"The survey instrument was designed as a quasi-longitudinal tool to capture the migration and socio-economic histories of respondents, their parents, and their grandparents.","ai_generated":true,"unit":"prio-001571#insight-4","date_modified":"2026-10-23"},{"text":"Data collection was conducted via face-to-face interviews using SurveyCTO Computer Assisted Personal Interviewing (CAPI) software on tablets, with an average interview duration of approximately 40 minutes.","ai_generated":true,"unit":"prio-001571#insight-5","date_modified":"2026-10-23"},{"text":"To ensure data quality, the project implemented automated skip-logics, duration flags for unusually short or long interviews, and manual checks for contradictory responses.","ai_generated":true,"unit":"prio-001571#insight-6","date_modified":"2026-10-23"},{"text":"The final dataset underwent a rigorous anonymization process, removing metadata, specific birthplaces, and individual-level household member data to protect participant privacy before public release.","ai_generated":true,"unit":"prio-001571#insight-7","date_modified":"2026-10-23"},{"text":"The resulting open-access dataset, to be published on Zenodo after April 2026, consists of 2,016 respondents across the four cities.","ai_generated":true,"unit":"prio-001571#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate migration","urbanization"],"geography_discussed":["Vietnam","Pakistan","India","Philippines"],"frame_perspective":[],"analysis_type":["survey documentation","methodological report"]}]}