{"id":"https://openalex.org/W110330236","doi":null,"title":"Satisficing in Web Surveys: Implications for Data Quality and Strategies for Reduction.","display_name":"Satisficing in Web Surveys: Implications for Data Quality and Strategies for Reduction.","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W110330236","mag":"110330236"},"language":"en","primary_location":{"id":"mag:110330236","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/97990","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Deep Blue (University of Michigan)","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2027.42/97990","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100658834","display_name":"Chan Zhang","orcid":"https://orcid.org/0000-0002-1035-5337","observed_orcids":["https://orcid.org/0000-0002-1035-5337"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chan Zhang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1035-5337","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100658834"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1465,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91382107,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":95},"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":1.0,"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":1.0,"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":9.999999747378752e-05,"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/satisficing","display_name":"satisficing","score":0.8460000157356262},{"id":"https://openalex.org/keywords/online-surveys","display_name":"online surveys","score":0.8730000257492065},{"id":"https://openalex.org/keywords/response-quality","display_name":"response quality","score":0.5529999732971191},{"id":"https://openalex.org/keywords/survey-speed","display_name":"survey speed","score":0.41200000047683716},{"id":"https://openalex.org/keywords/social-presence","display_name":"social presence","score":0.6850000023841858},{"id":"https://openalex.org/keywords/social-desirability-bias","display_name":"social desirability bias","score":0.8080000281333923},{"id":"https://openalex.org/keywords/respondent-effort","display_name":"respondent effort","score":0.8240000009536743},{"id":"https://openalex.org/keywords/mixed-mode-surveys","display_name":"mixed-mode surveys","score":0.6940000057220459}],"concepts":[{"id":"https://openalex.org/C94822996","wikidata":"https://www.wikidata.org/wiki/Q1777902","display_name":"Satisficing","level":2,"score":0.9588942527770996},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6163548827171326},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5844265818595886},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5731561183929443},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.4464586675167084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44427230954170227},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41717085242271423},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24496009945869446},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1887635886669159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17395499348640442},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.12927016615867615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12051734328269958},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:110330236","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/97990","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Deep Blue (University of Michigan)","raw_type":null},{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/97990","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/97990","pdf_url":"https://deepblue.lib.umich.edu/bitstreams/4ea3b487-d72b-4ca7-9028-480ca23caa35/download","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"mag:110330236","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/97990","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Deep Blue (University of Michigan)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W110330236.pdf","grobid_xml":"https://content.openalex.org/works/W110330236.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W609258943","https://openalex.org/W1873057782","https://openalex.org/W1961625999","https://openalex.org/W1967074186","https://openalex.org/W1984735274","https://openalex.org/W1989388297","https://openalex.org/W1995941974","https://openalex.org/W1996616080","https://openalex.org/W2010398643","https://openalex.org/W2035546865","https://openalex.org/W2048396937","https://openalex.org/W2056571671","https://openalex.org/W2058300759","https://openalex.org/W2082490605","https://openalex.org/W2090138186","https://openalex.org/W2094244305","https://openalex.org/W2111970143","https://openalex.org/W2121965518","https://openalex.org/W2125568689","https://openalex.org/W2127079596","https://openalex.org/W2134231299","https://openalex.org/W2148962857","https://openalex.org/W2163777754","https://openalex.org/W2165276849","https://openalex.org/W2171415274","https://openalex.org/W2184015064","https://openalex.org/W2230094283","https://openalex.org/W2318989178"],"related_works":["https://openalex.org/W4412204680","https://openalex.org/W7096654160","https://openalex.org/W2780033475","https://openalex.org/W2613951351","https://openalex.org/W2764227093","https://openalex.org/W2898650285","https://openalex.org/W2524760322","https://openalex.org/W3000477024","https://openalex.org/W4385739012","https://openalex.org/W2141158069"],"abstract_inverted_index":{"With":[0],"the":[1,5,15,105,134,160,195,201,225,230,241,283,299,324],"increasing":[2],"use":[3],"of":[4,50,136,171,185,203,229,235,246,293],"Web":[6,98,130],"in":[7,86,97,129,177,213,221,312],"mixed":[8],"mode":[9],"surveys,":[10],"especially":[11],"those":[12],"conducted":[13],"by":[14,73],"Census":[16],"and":[17,54,91],"other":[18],"federal":[19],"statistical":[20],"agencies,":[21],"it":[22,76,198,207],"has":[23],"become":[24],"more":[25,149,155,233,314],"urgent":[26],"than":[27],"ever":[28],"to":[29,32,57,100,152,162,167,194,240,264,272,309],"develop":[30],"methods":[31],"enhance":[33],"online":[34,51,300],"measurement":[35,52],"quality.":[36,122],"This":[37,244],"dissertation":[38],"research":[39],"(including":[40],"three":[41],"studies)":[42],"focuses":[43],"on":[44,119,154,274,277,323],"respondent":[45,102,222,254,319],"satisficing":[46,59,82,113,196],"as":[47,70,296,317,326,328],"a":[48,139,178,182,303,313,318,329],"source":[49],"errors,":[53],"interactive":[55,284],"intervention":[56,95,110,128,176,211,226,250,279],"reduce":[58],"behaviors.":[60,223],"The":[61,89,123,169,209],"first":[62],"study":[63,107,125],"evaluates":[64],"speeding":[65],"(or":[66],"very":[67],"fast":[68],"responding)":[69],"an":[71],"indicator":[72],"investigating":[74],"how":[75,278],"is":[77,164,191],"associated":[78],"with":[79,138],"another":[80],"well-known":[81],"behavior":[83,197],"\u2013":[84,248,270],"non-differentiation":[85],"grid":[87,156],"questions.":[88],"second":[90,106],"third":[92,124],"studies":[93],"examine":[94],"design":[96],"surveys":[99,131],"curtail":[101],"satisficing.":[103,168],"Specifically,":[104],"examines":[108],"whether":[109,127],"for":[111],"different":[112,117,210],"behaviors":[114,288],"could":[115],"produce":[116],"effects":[118],"overall":[120],"response":[121],"explores":[126],"can":[132,180,251],"induce":[133],"feeling":[135],"interacting":[137],"human":[140],"agent.":[141],"Study":[142,172,214],"1":[143],"shows":[144],"that":[145,159,175,249],"respondents":[146,261,308],"who":[147],"speed":[148,163],"often":[150],"tend":[151],"straightline":[153],"questions,":[157],"suggesting":[158],"tendency":[161],"indeed":[165],"related":[166],"results":[170],"2":[173],"demonstrate":[174],"survey":[179,204],"have":[181],"broad":[183],"impact":[184],"improving":[186],"respondents\u2019":[187,287],"reporting":[188,333],"effort,":[189],"which":[190],"not":[192,217,332],"restricted":[193],"targets":[199],"nor":[200],"type":[202],"questions":[205],"where":[206],"occurs.":[208],"designs":[212],"3":[215],"did":[216],"yield":[218],"consistent":[219],"differences":[220],"However,":[224],"conditions,":[227],"regardless":[228],"design,":[231],"produced":[232],"reports":[234],"socially":[236],"desirable":[237],"answers":[238],"compared":[239],"no-intervention":[242],"condition.":[243],"pair":[245],"observations":[247],"help":[252],"increase":[253,290],"effort":[255],"(Study":[256,268],"2)":[257],"but":[258],"also":[259],"make":[260],"less":[262],"willing":[263],"disclose":[265],"undesirable":[266,334],"information":[267,335],"3)":[269],"seem":[271],"converge":[273],"one":[275],"explanation":[276],"works.":[280],"That":[281],"is,":[282],"feedback":[285],"about":[286,336],"may":[289,306],"their":[291],"sense":[292],"social":[294],"presence":[295],"they":[297],"complete":[298],"questionnaire.":[301],"As":[302],"result,":[304],"this":[305],"motivate":[307],"present":[310],"themselves":[311],"positive":[315],"light":[316],"(by":[320,331],"working":[321],"harder":[322],"survey)":[325],"well":[327],"person":[330],"themselves).":[337]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
