{"id":"https://openalex.org/W2991556491","doi":"https://doi.org/10.3233/sji-190524","title":"Be a detective for a day: How to detect falsified interviews with statistics","display_name":"Be a detective for a day: How to detect falsified interviews with statistics","publication_year":2019,"publication_date":"2019-11-24","ids":{"openalex":"https://openalex.org/W2991556491","doi":"https://doi.org/10.3233/sji-190524","mag":"2991556491"},"language":"en","primary_location":{"id":"doi:10.3233/sji-190524","doi":"https://doi.org/10.3233/sji-190524","is_oa":false,"landing_page_url":"https://doi.org/10.3233/sji-190524","pdf_url":null,"source":{"id":"https://openalex.org/S2764680059","display_name":"Statistical Journal of the IAOS","issn_l":"1874-7655","issn":["1874-7655","1875-9254"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Journal of the IAOS","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"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/A5017316614","display_name":"Marlene Weinauer","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Marlene Weinauer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5017316614"],"corresponding_institution_ids":[],"apc_list":{"value":3900,"currency":"USD","value_usd":3900},"apc_paid":null,"fwci":1.2383,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85503746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"35","issue":"4","first_page":"569","last_page":"575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11539","display_name":"Survey Methodology and Nonresponse","score":0.9585000276565552,"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":0.9585000276565552,"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/T13720","display_name":"Benford\u2019s Law and Fraud Detection","score":0.02889999933540821,"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.006399999838322401,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/telephone-interviews","display_name":"telephone interviews","score":0.5210000276565552},{"id":"https://openalex.org/keywords/temporal-patterns","display_name":"temporal patterns","score":0.33500000834465027},{"id":"https://openalex.org/keywords/national-statistical-offices","display_name":"national statistical offices","score":0.699999988079071},{"id":"https://openalex.org/keywords/r","display_name":"R","score":0.37700000405311584}],"concepts":[{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5231655836105347},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4879416823387146},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.4728829264640808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46415528655052185},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44667574763298035},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4357936680316925},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4328540861606598},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4246657192707062},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35640665888786316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10968834161758423},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0907001793384552},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/sji-190524","doi":"https://doi.org/10.3233/sji-190524","is_oa":false,"landing_page_url":"https://doi.org/10.3233/sji-190524","pdf_url":null,"source":{"id":"https://openalex.org/S2764680059","display_name":"Statistical Journal of the IAOS","issn_l":"1874-7655","issn":["1874-7655","1875-9254"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Journal of the IAOS","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W31185423","https://openalex.org/W1606478895","https://openalex.org/W2129543394","https://openalex.org/W2160318655","https://openalex.org/W2461876297","https://openalex.org/W2464770624","https://openalex.org/W2518070246","https://openalex.org/W2892468805","https://openalex.org/W2975195777"],"related_works":["https://openalex.org/W3025573402","https://openalex.org/W2937249568","https://openalex.org/W2996287449","https://openalex.org/W2464770624","https://openalex.org/W3091393762","https://openalex.org/W4313477663","https://openalex.org/W4213218446","https://openalex.org/W2525367419","https://openalex.org/W1606478895","https://openalex.org/W7098879634"],"abstract_inverted_index":{"Interview":[0],"falsification":[1,48],"has":[2,121],"been":[3],"occurring":[4],"for":[5,62],"decades":[6],"on":[7,32,47],"different":[8],"levels":[9],"but":[10],"is":[11,21,97],"still":[12],"often":[13],"insufficiently":[14],"detected":[15],"and":[16,53,146],"treated":[17],"in":[18,69,79],"practice.":[19],"This":[20,35],"a":[22,60,63,122],"severe":[23],"issue":[24],"as":[25],"interview":[26],"fabrication":[27],"can":[28],"have":[29],"major":[30],"effects":[31],"final":[33],"estimates.":[34],"article":[36,119],"aims":[37],"to":[38,41,54,74,149],"draw":[39],"attention":[40],"this":[42,118],"important":[43],"topic,":[44],"with":[45,59,77,101,106,138],"focus":[46],"by":[49],"telephone":[50],"(CATI)":[51],"interviewers,":[52],"provide":[55],"National":[56],"Statistical":[57],"Offices":[58],"base":[61],"data-driven,":[64],"mostly":[65],"automatic":[66],"tool":[67],"written":[68],"the":[70,132,143,151],"statistical":[71],"software":[72],"R":[73],"detect":[75],"interviewers":[76,112],"irregularities":[78],"their":[80,83],"answers":[81],"or":[82,94],"time":[84],"patterns.":[85],"The":[86],"further":[87],"application":[88],"of":[89,134],"traditional":[90],"methods,":[91,140],"e.g.":[92],"recontact":[93],"test":[95],"calls,":[96],"far":[98],"more":[99],"effective":[100],"such":[102],"focused":[103],"samples":[104],"than":[105],"random":[107],"samples.":[108],"As":[109],"revealing":[110],"conspicuous":[111],"sometimes":[113],"feels":[114],"like":[115],"detective":[116,124],"work,":[117],"intentionally":[120],"little":[123],"side":[125],"story.":[126],"Together":[127],"we":[128],"will":[129],"look":[130],"at":[131],"means":[133],"evidence,":[135],"investigate":[136],"it":[137],"various":[139],"filter":[141],"out":[142],"conclusive":[144],"evidence":[145],"conclude":[147],"how":[148],"close":[150],"case.":[152]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-12-05T00:00:00"}