{"id":"https://openalex.org/W2186488474","doi":null,"title":"Obtaining administrative record linkage consent by mail: Examining the impact of incentives and telephone follow-up 1","display_name":"Obtaining administrative record linkage consent by mail: Examining the impact of incentives and telephone follow-up 1","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2186488474","mag":"2186488474"},"language":"en","primary_location":{"id":"mag:2186488474","doi":null,"is_oa":false,"landing_page_url":"https://www.amstat.org/sections/srms/Proceedings/y2013/files/400279_500768.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034003403","display_name":"Celeste Stone","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1293631320","display_name":"American Institutes for Research","ror":"https://ror.org/00490n048","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1293631320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Celeste Stone","raw_affiliation_strings":["[American Institutes for Research]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[American Institutes for Research]","institution_ids":["https://openalex.org/I1293631320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052264636","display_name":"Harmoni Noel","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harmoni Noel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5058914066","display_name":"David R. Weir","orcid":"https://orcid.org/0000-0002-1661-2402","observed_orcids":["https://orcid.org/0000-0002-1661-2402"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David R. Weir","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1661-2402","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7852,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79977223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11539","display_name":"Survey Methodology and Nonresponse","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11539","display_name":"Survey Methodology and Nonresponse","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/survey-incentives","display_name":"survey incentives","score":0.652999997138977},{"id":"https://openalex.org/keywords/telephone-follow-up","display_name":"telephone follow-up","score":0.9900000095367432},{"id":"https://openalex.org/keywords/personally-identifiable-information","display_name":"personally identifiable information","score":0.8119999766349792},{"id":"https://openalex.org/keywords/survey-cooperation","display_name":"survey cooperation","score":0.4560000002384186},{"id":"https://openalex.org/keywords/cost-benefit-analysis","display_name":"cost-benefit analysis","score":0.7770000100135803},{"id":"https://openalex.org/keywords/respondent-burden","display_name":"respondent burden","score":0.48100000619888306},{"id":"https://openalex.org/keywords/health-and-retirement-study","display_name":"Health and Retirement Study","score":0.6259999871253967}],"concepts":[{"id":"https://openalex.org/C2776640315","wikidata":"https://www.wikidata.org/wiki/Q7315941","display_name":"Respondent","level":2,"score":0.8595847487449646},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.7566770315170288},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.6960368156433105},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5050786137580872},{"id":"https://openalex.org/C142210648","wikidata":"https://www.wikidata.org/wiki/Q1266546","display_name":"Record linkage","level":3,"score":0.48610877990722656},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4442337155342102},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.42608487606048584},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.4129413962364197},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.38772091269493103},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3623425364494324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2771308720111847},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23168399930000305},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.16164833307266235},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.15808534622192383},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.13286849856376648},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.12584686279296875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11377373337745667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2186488474","doi":null,"is_oa":false,"landing_page_url":"https://www.amstat.org/sections/srms/Proceedings/y2013/files/400279_500768.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W578216043","https://openalex.org/W784487577","https://openalex.org/W1558603883","https://openalex.org/W1558711877","https://openalex.org/W1580288159","https://openalex.org/W1589208843","https://openalex.org/W1607146103","https://openalex.org/W2006867740","https://openalex.org/W2011590821","https://openalex.org/W2027148197","https://openalex.org/W2033207569","https://openalex.org/W2038727580","https://openalex.org/W2089437190","https://openalex.org/W2107592916","https://openalex.org/W2144633190","https://openalex.org/W2145642236","https://openalex.org/W2158676541"],"related_works":["https://openalex.org/W2995162856","https://openalex.org/W2011590821","https://openalex.org/W578216043","https://openalex.org/W2253389226","https://openalex.org/W7100597459","https://openalex.org/W2610830221","https://openalex.org/W2058555887","https://openalex.org/W2125729188","https://openalex.org/W2728127380","https://openalex.org/W7108210546"],"abstract_inverted_index":{"With":[0],"response":[1],"rates":[2,204,224],"declining":[3],"over":[4],"time":[5],"(Groves,":[6],"2011),":[7],"researchers":[8],"are":[9],"turning":[10],"to":[11,92,115,119,136,163,274],"administrative":[12],"records":[13,128],"as":[14],"an":[15,76],"alternate":[16],"method":[17],"for":[18,45,129,143,198,221,282],"collecting":[19],"rich":[20],"and":[21,32,69,126,148,156,201,262,285],"comprehensive":[22],"data":[23,228],"from":[24,42,104],"study":[25,43,106],"participants,":[26],"while":[27],"also":[28],"reducing":[29],"respondent":[30],"burden":[31],"survey":[33,91,114,130,199],"costs.":[34],"Such":[35],"linkage":[36,95,146,165,178,202],"requests":[37,96],"typically":[38],"require":[39],"obtaining":[40,144],"consent":[41,147,166,179,203,223,255,267,276],"participants":[44],"sensitive,":[46],"personally":[47],"identifiable":[48],"information":[49],"(PII)":[50],"(Sakshaug":[51],"et":[52],"al.,":[53],"2012).":[54,98],"For":[55],"this":[56,212],"reason,":[57],"these":[58],"studies":[59],"generally":[60],"use":[61],"interviewer-administered":[62],"modes,":[63],"where":[64,288],"interviewers":[65],"can":[66,74],"build":[67],"rapport":[68],"address":[70],"respondents\u2019":[71,161],"concerns.":[72],"Mail":[73],"be":[75],"attractive,":[77],"cheaper":[78],"mode.":[79],"However,":[80,247],"little":[81],"is":[82,231,293],"known":[83],"about":[84,270,279],"the":[85,102,108,150,182,185,195,226,243,249,252,283],"feasibility":[86,109],"of":[87,110,152,184,269,278],"using":[88,111],"a":[89,105,112,140,174,218,235,258,266,275,289],"mail":[90,113,141],"make":[93],"such":[94],"(Fulton,":[97],"This":[99,132],"paper":[100,133],"reports":[101],"findings":[103],"testing":[107],"obtain":[116],"participants\u2019":[117],"authorization":[118],"release":[120],"their":[121],"Social":[122],"Security":[123],"Administration":[124],"employment":[125],"benefits":[127],"research.":[131],"demonstrates":[134],"what":[135],"expect":[137],"when":[138,225],"considering":[139],"mode":[142,230],"record":[145],"evaluates":[149],"effects":[151,186,196],"(1)":[153],"different":[154],"incentives":[155,172],"(2)":[157],"telephone":[158,214,240,263],"follow-up":[159,215,241],"on":[160,177],"willingness":[162],"provide":[164],"by":[167],"mail.":[168,232],"We":[169],"found":[170],"that":[171,210],"had":[173],"positive":[175],"effect":[176],"rates,":[180],"although":[181],"magnitude":[183],"was":[187,216,242],"not":[188,217],"linear":[189],"across":[190],"incentive":[191,238,261],"conditions":[192],"nor":[193],"were":[194],"uniform":[197],"cooperation":[200],"alike.":[205],"Our":[206],"cost-benefit":[207],"simulation":[208],"indicates":[209],"in":[211,295],"study,":[213],"cost-effective":[219,245],"approach":[220,250],"improving":[222],"primary":[227],"collection":[229],"Instead,":[233],"offering":[234],"$20":[236,259],"prepaid":[237,260],"without":[239],"most":[244],"approach.":[246],"even":[248],"with":[251],"highest":[253],"overall":[254],"rate":[256,268,277],"(i.e.,":[257],"follow-up)":[264],"yielded":[265],"25":[271],"percent":[272,281],"compared":[273],"40":[280],"Health":[284],"Retirement":[286],"Study,":[287],"very":[290],"similar":[291],"request":[292],"made":[294],"person.":[296]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}