Reversed Item Bias: An Integrative Model
In the recent methodological literature, various models have been proposed to account for the phenomenon that reversed items (defined as items for which respondents' scores have to be recoded in order to make the direction of keying consistent across all items) tend to lead to problematic respo...
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Veröffentlicht in: | Psychological methods 2013-09, Vol.18 (3), p.320-334 |
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description | In the recent methodological literature, various models have been proposed to account for the phenomenon that reversed items (defined as items for which respondents' scores have to be recoded in order to make the direction of keying consistent across all items) tend to lead to problematic responses. In this article we propose an integrative conceptualization of three important sources of reversed item method bias (acquiescence, careless responding, and confirmation bias) and specify a multisample confirmatory factor analysis model with 2 method factors to empirically test the hypothesized mechanisms, using explicit measures of acquiescence and carelessness and experimentally manipulated versions of a questionnaire that varies 3 item arrangements and the keying direction of the first item measuring the focal construct. We explain the mechanisms, review prior attempts to model reversed item bias, present our new model, and apply it to responses to a 4-item self-esteem scale (N = 306) and the 6-item Revised Life Orientation Test (N = 595). Based on the literature review and the empirical results, we formulate recommendations on how to use reversed items in questionnaires. |
doi_str_mv | 10.1037/a0032121 |
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In this article we propose an integrative conceptualization of three important sources of reversed item method bias (acquiescence, careless responding, and confirmation bias) and specify a multisample confirmatory factor analysis model with 2 method factors to empirically test the hypothesized mechanisms, using explicit measures of acquiescence and carelessness and experimentally manipulated versions of a questionnaire that varies 3 item arrangements and the keying direction of the first item measuring the focal construct. We explain the mechanisms, review prior attempts to model reversed item bias, present our new model, and apply it to responses to a 4-item self-esteem scale (N = 306) and the 6-item Revised Life Orientation Test (N = 595). Based on the literature review and the empirical results, we formulate recommendations on how to use reversed items in questionnaires.</description><identifier>ISSN: 1082-989X</identifier><identifier>EISSN: 1939-1463</identifier><identifier>DOI: 10.1037/a0032121</identifier><identifier>PMID: 23646990</identifier><language>eng</language><publisher>Washington, DC: American Psychological Association</publisher><subject>Bias ; Biological and medical sciences ; Factor Analysis, Statistical ; Female ; Fundamental and applied biological sciences. Psychology ; Human ; Humans ; Male ; Methodology ; Models, Psychological ; Models, Statistical ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Psychometrics ; Psychometrics - methods ; Psychometrics. Statistics. Methodology ; Response Bias ; Statistics. 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In this article we propose an integrative conceptualization of three important sources of reversed item method bias (acquiescence, careless responding, and confirmation bias) and specify a multisample confirmatory factor analysis model with 2 method factors to empirically test the hypothesized mechanisms, using explicit measures of acquiescence and carelessness and experimentally manipulated versions of a questionnaire that varies 3 item arrangements and the keying direction of the first item measuring the focal construct. We explain the mechanisms, review prior attempts to model reversed item bias, present our new model, and apply it to responses to a 4-item self-esteem scale (N = 306) and the 6-item Revised Life Orientation Test (N = 595). Based on the literature review and the empirical results, we formulate recommendations on how to use reversed items in questionnaires.</description><subject>Bias</subject><subject>Biological and medical sciences</subject><subject>Factor Analysis, Statistical</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human</subject><subject>Humans</subject><subject>Male</subject><subject>Methodology</subject><subject>Models, Psychological</subject><subject>Models, Statistical</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Psychometrics</subject><subject>Psychometrics - methods</subject><subject>Psychometrics. Statistics. Methodology</subject><subject>Response Bias</subject><subject>Statistics. Mathematics</subject><subject>Structural Equation Modeling</subject><subject>Surveys</subject><subject>Surveys and Questionnaires</subject><subject>Test Bias</subject><issn>1082-989X</issn><issn>1939-1463</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpd0NtKxDAQBuAgiodV8AmkIIIg1UySpo136-JhYUUQBe9CNp1IpSeTVti3N-Kq4FVy8c2fzE_IIdBzoDy_MJRyBgw2yC4orlIQkm_GOy1Yqgr1skP2QnijFAQvxDbZYVwKqRTdJaeP-IE-YJnMB2ySq8qEy2TaJvN2wFdvhuoDk_uuxHqfbDlTBzxYnxPyfHP9NLtLFw-389l0kRoBMKSZNdLldkmLUrICTcacpMIxWgrMBGVZBlLlvFBcKmAuxxIkFEAZd4Llbskn5PQ7t_fd-4hh0E0VLNa1abEbg44rxIlMKh7p8T_61o2-jb_TwEXsgec5_AVa34Xg0eneV43xKw1Uf7Wnf9qL9GgdOC4bLH_hT10RnKyBCdbUzpvWVuHPxfekgDy6s29neqP7sLLGD5WtMdjRe2zjTjhoKDTXnFH-CcWlgSQ</recordid><startdate>20130901</startdate><enddate>20130901</enddate><creator>Weijters, Bert</creator><creator>Baumgartner, Hans</creator><creator>Schillewaert, Niels</creator><general>American Psychological Association</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7RZ</scope><scope>PSYQQ</scope><scope>7X8</scope></search><sort><creationdate>20130901</creationdate><title>Reversed Item Bias: An Integrative Model</title><author>Weijters, Bert ; Baumgartner, Hans ; Schillewaert, Niels</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a411t-5ca6f7cb08d628ea52f604f20d4e540255169738936912f7ed16181023f427fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Bias</topic><topic>Biological and medical sciences</topic><topic>Factor Analysis, Statistical</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human</topic><topic>Humans</topic><topic>Male</topic><topic>Methodology</topic><topic>Models, Psychological</topic><topic>Models, Statistical</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Psychometrics</topic><topic>Psychometrics - methods</topic><topic>Psychometrics. Statistics. Methodology</topic><topic>Response Bias</topic><topic>Statistics. Mathematics</topic><topic>Structural Equation Modeling</topic><topic>Surveys</topic><topic>Surveys and Questionnaires</topic><topic>Test Bias</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Weijters, Bert</creatorcontrib><creatorcontrib>Baumgartner, Hans</creatorcontrib><creatorcontrib>Schillewaert, Niels</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>APA PsycArticles®</collection><collection>ProQuest One Psychology</collection><collection>MEDLINE - Academic</collection><jtitle>Psychological methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Weijters, Bert</au><au>Baumgartner, Hans</au><au>Schillewaert, Niels</au><au>Appelbaum, Mark I</au><au>Harlow, Lisa L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reversed Item Bias: An Integrative Model</atitle><jtitle>Psychological methods</jtitle><addtitle>Psychol Methods</addtitle><date>2013-09-01</date><risdate>2013</risdate><volume>18</volume><issue>3</issue><spage>320</spage><epage>334</epage><pages>320-334</pages><issn>1082-989X</issn><eissn>1939-1463</eissn><abstract>In the recent methodological literature, various models have been proposed to account for the phenomenon that reversed items (defined as items for which respondents' scores have to be recoded in order to make the direction of keying consistent across all items) tend to lead to problematic responses. 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Based on the literature review and the empirical results, we formulate recommendations on how to use reversed items in questionnaires.</abstract><cop>Washington, DC</cop><pub>American Psychological Association</pub><pmid>23646990</pmid><doi>10.1037/a0032121</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bias Biological and medical sciences Factor Analysis, Statistical Female Fundamental and applied biological sciences. Psychology Human Humans Male Methodology Models, Psychological Models, Statistical Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics Psychometrics - methods Psychometrics. Statistics. Methodology Response Bias Statistics. Mathematics Structural Equation Modeling Surveys Surveys and Questionnaires Test Bias |
title | Reversed Item Bias: An Integrative Model |
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