2026-04-04T18:48:20Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

30c83f08b2c5f7d3cea45e07c41c579a855bb9a6ba1ee36cc8fd605501daa8c3 2025-06-17T03:16:09Z language:enopenaire_data

DDI study level documentation for study 10.7802/2439 Replication data: Challenges and benefits of including the institutionalized, cognitively impaired and unable to respond in a representative survey of the very old Replication data: Challenges and benefits of including the institutionalized, cognitively impaired and unable to respond in a representative survey of the very old Replication data: Challenges and benefits of including the institutionalized, cognitively impaired and unable to respond in a representative survey of the very old 10.7802/243910.7802/243910.7802/243910.7802/2439 Kaspar, Roman Kaspar, Roman Brijoux, Thomas Brijoux, Thomas Albrecht, Andrea Albrecht, Andrea Zimmermann, Jaroslava Zimmermann, Jaroslava Wenner, Judith Wenner, Judith Fey, Jonas Fey, Jonas Reissmann, Marcella Reissmann, Marcella Wagner, Michael Wagner, Michael Zank, Susanne Zank, Susanne [Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften proxy reporttotal survey errornon-response biasmeasurement invarianceProxyAlterquality of lifecognitioninstitutionalizationproxy reporttotal survey errornon-response biasmeasurement invarianceProxyAlterquality of lifecognitioninstitutionalization +++++++++++++++ Version 1.0.0 of the study is outdated and therefore <b>not available any longer </b>. Please use the revised version 2.0.0 <a href=https://doi.org/10.7802/2536>here </a>. +++++++++++++++ Institutionalization, cognitive impairment and inability to conduct an interview due to health impairment are among the top exclusion criteria for most large-scale social and aging surveys. Reservation against targeting vulnerable groups results from economic or legal restrictions of recruitment and concerns about research ethics or the validity of data obtained. However, failure to include those individuals may lead to substantial bias. Metadata showed that privileged data access and checks against nursing home repositories prevented under-coverage of the institutionalized. Measures to include hard-to-survey groups led to a marked increase in response rate. Individuals with health impairment contributed substantially to representativity of the sample. Nonresponse bias was cut to half compared to a less inclusive study protocol. Judged from a total-survey-error perspective, reductions in nonresponse-bias, low item-nonresponse and evidence of measurement invariance across self- and proxy-report for key characteristics suggest significant benefits of including hard-to-survey groups in estimating characteristics of this population.+++++++++++++++ Version 1.0.0 of the study is outdated and therefore <b>not available any longer </b>. Please use the revised version 2.0.0 <a href=https://doi.org/10.7802/2536>here </a>. +++++++++++++++ Institutionalization, cognitive impairment and inability to conduct an interview due to health impairment are among the top exclusion criteria for most large-scale social and aging surveys. Reservation against targeting vulnerable groups results from economic or legal restrictions of recruitment and concerns about research ethics or the validity of data obtained. However, failure to include those individuals may lead to substantial bias. Metadata showed that privileged data access and checks against nursing home repositories prevented under-coverage of the institutionalized. Measures to include hard-to-survey groups led to a marked increase in response rate. Individuals with health impairment contributed substantially to representativity of the sample. Nonresponse bias was cut to half compared to a less inclusive study protocol. Judged from a total-survey-error perspective, reductions in nonresponse-bias, low item-nonresponse and evidence of measurement invariance across self- and proxy-report for key characteristics suggest significant benefits of including hard-to-survey groups in estimating characteristics of this population. GermanyGermany Wohnbevölkerung (privat und Heim) NRW ab 80 Jahren (vor 31.07.1937 geboren) cross-sectioncross-section Probability SampleProbability Sample Face-to-face interviewInterview.FaceToFacePersönliches InterviewInterview.FaceToFace Restricted Access - To get access to the research data, the original data depositor's consent is needed.Eingeschränkter Zugang - Für den Zugang zu den Forschungsdaten muss eine Einwilligung der Datengebenden eingeholt werden. http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2439 2023-03-11 ddi:codebook:2_5