{"id":101828,"date":"2016-02-23T08:57:29","date_gmt":"2016-02-23T13:57:29","guid":{"rendered":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/2016\/02\/23\/works-cited\/"},"modified":"2024-04-14T04:14:41","modified_gmt":"2024-04-14T09:14:41","slug":"works-cited","status":"publish","type":"post","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/23\/works-cited\/","title":{"rendered":"Works Cited"},"content":{"rendered":"<p class=\"wp-block-paragraph\">AAPOR. 2003. \u201c<a href=\"https:\/\/www.aapor.org\/AAPORKentico\/AAPOR_Main\/media\/MainSiteFiles\/falsification.pdf\">Interviewer Falsification in Survey Research: Current Best Methods for Prevention, Detection and Repair of Its Effects<\/a>.\u201d<\/p>\n\n<p class=\"wp-block-paragraph\">Benford, Frank. 1938. \u201c<a href=\"http:\/\/www.jstor.org\/stable\/984802?seq=1#page_scan_tab_contents\">The Law of Anomalous Numbers<\/a>.\u201d Proceedings of the American Philosophical Society.<\/p>\n\n<p class=\"wp-block-paragraph\">Bredl, Sebastian, Peter Winker and Kerstin K\u00f6tschau. 2012. \u201c<a href=\"http:\/\/www.statcan.gc.ca\/pub\/12-001-x\/2012001\/article\/11680-eng.pdf\">A statistical approach to detect cheating interviewer falsification of survey data<\/a>.\u201d Survey Methodology.<\/p>\n\n<p class=\"wp-block-paragraph\">Bredl, Sebastian, Nina Storfinger and Natalja Menold. 2011. \u201c<a href=\"http:\/\/econstor.eu\/bitstream\/10419\/74449\/1\/746858302.pdf\">A literature review of methods to detect fabricated survey data<\/a>.\u201d Discussion Papers from Justus Liebig University Giessen, Center for international Development and Environmental Research (ZEU).<\/p>\n\n<p class=\"wp-block-paragraph\">Converse, Philip E. 1964. \u201c<a href=\"http:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/08913810608443650\">The nature of belief systems in mass publics<\/a>.\u201d In Joseph W. Elder, ed., \u201cIdeology and Discontent.\u201d<\/p>\n\n<p class=\"wp-block-paragraph\">Crespi, Leo P. 1945. \u201c<a href=\"http:\/\/poq.oxfordjournals.org\/content\/9\/4\/431.abstract\">The Cheater Problem in Polling<\/a>.\u201d Public Opinion Quarterly.<\/p>\n\n<p class=\"wp-block-paragraph\">Diekmann, Andreas. 2002. \u201cDiagnose von Fehlerquellen und methodische Qualit\u00e4t in der sozialwissenschaftlichen Forschung.\u201d Institut fuer Technikfolgenabschaetzung (ITA).<\/p>\n\n<p class=\"wp-block-paragraph\">Diakit\u00e9, Souleymane. 2013. \u201cStatistical methods for the detection of falsified data by interviewers and application survey data in Africa.\u201d Sixth International Conference on Agricultural Statistics.<\/p>\n\n<p class=\"wp-block-paragraph\">Groves, Robert M., Floyd J. Fowler Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer and Roger Tourangeau. 2009. \u201cSurvey Methodology.\u201d<\/p>\n\n<p class=\"wp-block-paragraph\">Hood, Catherine C. and John M. Bushery. 1997. \u201c<a href=\"http:\/\/www.amstat.org\/sections\/srms\/Proceedings\/\">Getting More Bang from the Reinterview Buck: Identifying \u2018At Risk\u2019 Interviewers<\/a>.\u201d Proceedings of the American Statistical Association.<\/p>\n\n<p class=\"wp-block-paragraph\">Judge, George and Laura Schechter. 2009. \u201c<a href=\"http:\/\/jhr.uwpress.org\/content\/44\/1\/1.refs\">Detecting Problems in Survey Data Using Benford\u2019s Law<\/a>.\u201d The Journal of Human Resources.<\/p>\n\n<p class=\"wp-block-paragraph\">Koch, Achim. 1995. \u201c<a href=\"http:\/\/nbn-resolving.de\/urn:nbn:de:0168-ssoar-208984\">Gef\u00e4lschte Interviews: Ergebnisse der Interviewerkontrolle beim ALLBUS 1994<\/a>.\u201d ZUMA Nachrichten.<\/p>\n\n<p class=\"wp-block-paragraph\">Kosyakova, Yuliya, Jan Skopek and Stephanie Eckman. 2015. \u201c<a href=\"http:\/\/ijpor.oxfordjournals.org\/content\/27\/3\/417\">Do Interviewers Manipulate Responses to Filter Questions? Evidence from a Multilevel Approach<\/a>.\u201d International Journal of Public Opinion Research.<\/p>\n\n<p class=\"wp-block-paragraph\">Kuriakose, Noble and Michael Robbins. 2015. \u201c<a href=\"http:\/\/convention2.allacademic.com\/one\/apsa\/apsa15\/index.php?cmd=Online+Program+Download+Document&amp;document_type=document&amp;key=online_program_view_paper_downloads&amp;document_key=36b64f13a96e962ca6a28abdef1b4c5f&amp;filename=apsa15_proceeding_997717.pdf&amp;PHPSESSID=dihu9g25omd3j4uo1unlhhs763\">Falsification in Survey Research: Detecting Near Duplicate Observations<\/a>.\u201d American Political Science Association Annual Meetings 2015.<\/p>\n\n<p class=\"wp-block-paragraph\">Li, Jianzhu, J. Michael Brick, Bac Tran and Phyllis Singer. 2009. \u201c<a href=\"https:\/\/www.amstat.org\/sections\/srms\/Proceedings\/y2009f.html\">Using Statistical Models for Sample Design of a Reinterview Program<\/a>.\u201d Proceedings of the Research Methods Section, American Statistical Association.<\/p>\n\n<p class=\"wp-block-paragraph\">Loosveldt, Geert. 2008. \u201cFace-To-Face interviews.\u201d In Edith D. deLeeuw, Joop Hox and Don Dillman, eds., \u201cInternational Handbook of Survey Methodology.\u201d<\/p>\n\n<p class=\"wp-block-paragraph\">Lyberg, Lars and Paul Biemer. 2008. \u201cQuality Assurance and Quality Control in Surveys.\u201d In Edith D. deLeeuw, Joop Hox and Don Dillman, eds., \u201cInternational Handbook of Survey Methodology.\u201d<\/p>\n\n<p class=\"wp-block-paragraph\">Lyberg, Lars and Diana Maria Stukel. 2010. \u201cQuality Assurance and Quality Control in Cross-National Comparative Studies.\u201d In Harkness, Janet A., et al., eds. \u201cSurvey Methods in Multinational, Multiregional, and Multicultural Contexts.\u201d<\/p>\n\n<p class=\"wp-block-paragraph\">Menold, Natalja and Christoph Kemper. 2014. \u201c<a href=\"http:\/\/ijpor.oxfordjournals.org\/content\/26\/1\/41.abstract?sid=e1af9146-4073-418d-914f-e61f4971fc1b\">How Do Real and Falsified Data Differ? Psychology of Survey Response as a Source of Falsification Indicators in Face-to-Face Surveys<\/a>.\u201d Journal of International Public Opinion Research.<\/p>\n\n<p class=\"wp-block-paragraph\">Reuband, Karl-Heinz. 1990. \u201c<a href=\"http:\/\/docserv.uni-duesseldorf.de\/servlets\/DerivateServlet\/Derivate-13152\/S0090832.pdf\">Interviews, die keine sind &#8211; \u2018Erfolge\u2019 und \u2018Mi\u00dferfolge\u2019 beim F\u00e4lschen von Interviews<\/a>.\u201d K\u00f6lner Zeitschrift f\u00fcr Soziologie und Sozialpsychologie.<\/p>\n\n<p class=\"wp-block-paragraph\">Schnell, Rainer. 1991. \u201c<a href=\"http:\/\/nbn-resolving.de\/urn:nbn:de:0168-ssoar-121804\">Der Einflu\u00df gef\u00e4lschter Interviews auf Survey Ergebnisse<\/a>.\u201d Zeitschrift f\u00fcr Soziologie.<\/p>\n\n<p class=\"wp-block-paragraph\">Schraepler, Joerg-Peter and Gert Wagner. 2005. \u201c<a href=\"http:\/\/link.springer.com\/article\/10.1007\/s101820500188\">Characteristics and impact of faked interviews in surveys &#8211; An analysis of genuine fakes in the raw data of SOEP<\/a>.\u201d Allgemeines Statistisches Archiv.<\/p>\n\n<p class=\"wp-block-paragraph\">Schreiner, Irwin, Karen Pennie, and Jennifer Newbrough. 1988. \u201c<a href=\"http:\/\/www.amstat.org\/sections\/srms\/Proceedings\/papers\/1988_090.pdf\">Interviewer Falsification in Census Bureau Surveys<\/a>.\u201d Proceedings of the Research Methods Section, American Statistical Association.<\/p>\n\n<p class=\"wp-block-paragraph\">Singer, Eleanor. 2008. \u201cEthical Issues in Surveys.\u201d In Edith D. deLeeuw, Joop Hox and Don Dillman, eds., \u201cInternational Handbook of Survey Methodology.\u201d<\/p>\n\n<p class=\"wp-block-paragraph\">Winker, Peter, Natalja Menold, Nina Storfinger, Sabrina Stukowski, Christoph J. Kemper, and Sabrina Stutkowski. 2013. &#8220;<a href=\"http:\/\/www.cros-portal.eu\/sites\/default\/files\/NTTS2013fullPaper_93.pdf\">A Method for ex-post Identification of Falsifications in Survey Data.<\/a>&#8221;\u00a0<em>NTTS 2013 &#8211; Conferences on New Techniques and Technologies for Statistics.<\/em><\/p>\n\n<p class=\"wp-block-paragraph\">Zaller, John R. 1992. \u201cThe Nature and Origins of Mass Opinion.\u201d<\/p>\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>","protected":false},"excerpt":{"rendered":"<p>AAPOR. 2003. \u201cInterviewer Falsification in Survey Research: Current Best Methods for Prevention, Detection and Repair of Its Effects.\u201d Benford, Frank. 1938. \u201cThe Law of Anomalous Numbers.\u201d Proceedings of the American Philosophical Society. Bredl, Sebastian, Peter Winker and Kerstin K\u00f6tschau. 2012. \u201cA statistical approach to detect cheating interviewer falsification of survey data.\u201d Survey Methodology. Bredl, Sebastian, [&hellip;]<\/p>\n","protected":false},"author":294,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sub_headline":"","sub_title":"","_prc_public_revisions":[],"_ppp_expiration_hours":0,"_ppp_enabled":false,"ai_generated_summary":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"relatedPosts":[],"reportMaterials":[],"multiSectionReport":[],"package_parts__enabled":false,"package_parts":[],"_prc_fork_parent":0,"_prc_fork_status":"","_prc_active_fork":0,"datacite_doi":"","datacite_doi_citation":"","_prc_seo_qr_attachment_id":0,"spoken_article_player_enabled":true,"displayBylines":true,"footnotes":"","prc_watchers":[],"jetpack_post_was_ever_published":false},"categories":[356],"tags":[],"bylines":[],"collection":[],"datasets":[],"level_of_effort":[],"primary_audience":[],"information_type":[],"_post_visibility":[],"formats":[458],"_fund_pool":[],"languages":[],"regions-countries":[],"research-teams":[528],"workflow-status":[],"class_list":["post-101828","post","type-post","status-publish","format-standard","hentry","category-international-survey-methods","formats-report","research-teams-methods"],"label":false,"post_parent":101838,"word_count":559,"canonical_url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/23\/works-cited\/","art_direction":false,"_embeds":[],"watchers":[],"table_of_contents":[{"id":101838,"title":"Evaluating a New Proposal for Detecting Data Falsification in Surveys","slug":"evaluating-a-new-proposal-for-detecting-data-falsification-in-surveys-2","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/global\/2016\/02\/23\/evaluating-a-new-proposal-for-detecting-data-falsification-in-surveys-2\/","is_active":false},{"id":101855,"title":"Appendix A","slug":"appendix-a-10","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/23\/appendix-a-10\/","is_active":false},{"id":101794,"title":"Appendix B","slug":"appendix-b-6","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/25\/appendix-b-6\/","is_active":false},{"id":101828,"title":"Works Cited","slug":"works-cited","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/23\/works-cited\/","is_active":true}],"report_materials":"","report_pagination":{"current_post":{"id":101828,"title":"Works Cited","slug":"works-cited","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/23\/works-cited\/","is_active":true,"page_num":4},"next_post":null,"previous_post":{"id":101794,"title":"Appendix B","slug":"appendix-b-6","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/25\/appendix-b-6\/","is_active":false,"page_num":3},"pagination_items":[{"id":101838,"title":"Evaluating a New Proposal for Detecting Data Falsification in Surveys","slug":"evaluating-a-new-proposal-for-detecting-data-falsification-in-surveys-2","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/global\/2016\/02\/23\/evaluating-a-new-proposal-for-detecting-data-falsification-in-surveys-2\/","is_active":false,"page_num":1},{"id":101855,"title":"Appendix A","slug":"appendix-a-10","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/23\/appendix-a-10\/","is_active":false,"page_num":2},{"id":101794,"title":"Appendix B","slug":"appendix-b-6","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/25\/appendix-b-6\/","is_active":false,"page_num":3},{"id":101828,"title":"Works Cited","slug":"works-cited","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/methods\/2016\/02\/23\/works-cited\/","is_active":true,"page_num":4}]},"parent_info":{"parent_title":"Evaluating a New Proposal for Detecting Data Falsification in Surveys","parent_id":101838},"materialsOrdered":[],"chaptersOrdered":[],"partsOrdered":[],"partsEnabled":false,"datacite_doi":"","prc_seo_data":{"title":"Works Cited","description":"AAPOR. 2003. \u201cInterviewer Falsification in Survey Research: Current Best Methods for Prevention, Detection and Repair of Its Effects.\u201d Benford, Frank. 1938. \u201cThe Law of Anomalous Numbers.\u201d Proceedings of the American&hellip;","og_title":"Works Cited","og_description":"","schema_type":"Article","noindex":false,"canonical_url":"","primary_terms":[],"custom_schema":[],"og_image":0,"indexnow_submitted_at":null,"gsc_index_status":null},"prepublish_checks":{"prc-image-alt-text":{"status":"complete","message":"No image blocks in content.","data":null},"prc-about-this-research":{"status":"incomplete","message":"Add an \"About this research\" details block.","data":null},"prc-paragraph-count":{"status":"complete","message":"Found 26 paragraphs.","data":{"count":26}},"prc-internal-link":{"status":"incomplete","message":"Add at least one internal link.","data":{"count":0}}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"relatedPostsOrdered":[],"bylinesOrdered":[],"acknowledgementsOrdered":[],"_links":{"self":[{"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/posts\/101828","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/users\/294"}],"replies":[{"embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/comments?post=101828"}],"version-history":[{"count":2,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/posts\/101828\/revisions"}],"predecessor-version":[{"id":134413,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/posts\/101828\/revisions\/134413"}],"wp:attachment":[{"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/media?parent=101828"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/categories?post=101828"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/tags?post=101828"},{"taxonomy":"bylines","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/bylines?post=101828"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/collection?post=101828"},{"taxonomy":"datasets","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/datasets?post=101828"},{"taxonomy":"level_of_effort","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/level_of_effort?post=101828"},{"taxonomy":"primary_audience","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/primary_audience?post=101828"},{"taxonomy":"information_type","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/information_type?post=101828"},{"taxonomy":"_post_visibility","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/_post_visibility?post=101828"},{"taxonomy":"formats","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/formats?post=101828"},{"taxonomy":"_fund_pool","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/_fund_pool?post=101828"},{"taxonomy":"languages","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/languages?post=101828"},{"taxonomy":"regions-countries","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/regions-countries?post=101828"},{"taxonomy":"research-teams","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/research-teams?post=101828"},{"taxonomy":"workflow-status","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/workflow-status?post=101828"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}