Do Implicit Attitudes Predict Actual Voting Behavior Particularly for Undecided Voters?
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{"title"=>"Do Implicit Attitudes Predict Actual Voting Behavior Particularly for Undecided Voters?", "type"=>"journal", "authors"=>[{"first_name"=>"Malte", "last_name"=>"Friese", "scopus_author_id"=>"12143724600"}, {"first_name"=>"Colin Tucker", "last_name"=>"Smith", "scopus_author_id"=>"36970647700"}, {"first_name"=>"Thomas", "last_name"=>"Plischke", "scopus_author_id"=>"55348295700"}, {"first_name"=>"Matthias", "last_name"=>"Bluemke", "scopus_author_id"=>"22033334000"}, {"first_name"=>"Brian A.", "last_name"=>"Nosek", "scopus_author_id"=>"6602443500"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"22952898", "sgr"=>"84865606905", "arxiv"=>"arXiv:1011.1669v3", "doi"=>"10.1371/journal.pone.0044130", "scopus"=>"2-s2.0-84865606905", "pui"=>"365542882", "isbn"=>"1932-6203", "issn"=>"19326203"}, "id"=>"51d9bad1-d93f-35d0-a564-8406df75d615", "abstract"=>"The prediction of voting behavior of undecided voters poses a challenge to psychologists and pollsters. Recently, researchers argued that implicit attitudes would predict voting behavior particularly for undecided voters whereas explicit attitudes would predict voting behavior particularly for decided voters. We tested this assumption in two studies in two countries with distinct political systems in the context of real political elections. Results revealed that (a) explicit attitudes predicted voting behavior better than implicit attitudes for both decided and undecided voters, and (b) implicit attitudes predicted voting behavior better for decided than undecided voters. We propose that greater elaboration of attitudes produces stronger convergence between implicit and explicit attitudes resulting in better predictive validity of both, and less incremental validity of implicit over explicit attitudes for the prediction of voting behavior. However, greater incremental predictive validity of implicit over explicit attitudes may be associated with less elaboration.", "link"=>"http://www.mendeley.com/research/implicit-attitudes-predict-actual-voting-behavior-particularly-undecided-voters", "reader_count"=>71, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>4, "Researcher"=>8, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>2, "Student > Master"=>13, "Other"=>3, "Student > Bachelor"=>12, "Lecturer"=>1, "Professor"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>4, "Researcher"=>8, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>2, "Student > Master"=>13, "Other"=>3, "Student > Bachelor"=>12, "Lecturer"=>1, "Professor"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>7, "Agricultural and Biological Sciences"=>2, "Medicine and Dentistry"=>2, "Arts and Humanities"=>2, "Philosophy"=>2, "Business, Management and Accounting"=>1, "Psychology"=>34, "Social Sciences"=>15, "Computer Science"=>4, "Economics, Econometrics and Finance"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>15}, "Psychology"=>{"Psychology"=>34}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>7}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>2}, "Philosophy"=>{"Philosophy"=>2}}, "reader_count_by_country"=>{"Republic of Singapore"=>1, "Sweden"=>1, "Turkey"=>1, "Belgium"=>1, "United States"=>1, "Luxembourg"=>1, "China"=>1, "Brazil"=>1, "Italy"=>1}, "group_count"=>2}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/306886", "https://ndownloader.figshare.com/files/306893", "https://ndownloader.figshare.com/files/306906", "https://ndownloader.figshare.com/files/306911", "https://ndownloader.figshare.com/files/306923", "https://ndownloader.figshare.com/files/306934", "https://ndownloader.figshare.com/files/306948", "https://ndownloader.figshare.com/files/306954"], "description"=>"<div><p>The prediction of voting behavior of undecided voters poses a challenge to psychologists and pollsters. Recently, researchers argued that implicit attitudes would predict voting behavior particularly for undecided voters whereas explicit attitudes would predict voting behavior particularly for decided voters. We tested this assumption in two studies in two countries with distinct political systems in the context of real political elections. Results revealed that (a) explicit attitudes predicted voting behavior better than implicit attitudes for both decided and undecided voters, and (b) implicit attitudes predicted voting behavior better for decided than undecided voters. We propose that greater elaboration of attitudes produces stronger convergence between implicit and explicit attitudes resulting in better predictive validity of both, and less <em>incremental</em> validity of implicit over explicit attitudes for the prediction of voting behavior. However, greater incremental predictive validity of implicit over explicit attitudes may be associated with less elaboration.</p> </div>", "links"=>[], "tags"=>["implicit", "attitudes", "undecided"], "article_id"=>120545, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0044130.s001", "https://dx.doi.org/10.1371/journal.pone.0044130.s002", "https://dx.doi.org/10.1371/journal.pone.0044130.s003", "https://dx.doi.org/10.1371/journal.pone.0044130.s004", "https://dx.doi.org/10.1371/journal.pone.0044130.s005", "https://dx.doi.org/10.1371/journal.pone.0044130.s006", "https://dx.doi.org/10.1371/journal.pone.0044130.s007", "https://dx.doi.org/10.1371/journal.pone.0044130.s008"], "stats"=>{"downloads"=>18, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Do_Implicit_Attitudes_Predict_Actual_Voting_Behavior_Particularly_for_Undecided_Voters_/120545", "title"=>"Do Implicit Attitudes Predict Actual Voting Behavior Particularly for Undecided Voters?", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-08-29 00:09:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/584716"], "description"=>"<p><i>Note</i>. <i>N</i> = 620. B: regression weight B; <i>SE</i>: standard error of the regression weight B; Wald: Wald criterion; Exp(B): Odds ratio. Relative amount by which the odds increase (Exp(B) >1.0) or decrease (Exp(B) <1.0) when the value of the predictor is increased by 1 unit; CCC: correctly classified cases; DV: voting behavior (0 =  right political camp, 1 =  left political camp). All continuous variables were z-standardized prior to the analyses.</p>", "links"=>[], "tags"=>["binary", "logistic", "regression", "analyses", "involving", "candidates", "IAT"], "article_id"=>255206, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044130.t007", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_multiple_binary_logistic_regression_analyses_involving_the_candidates_IAT_in_Study_2_/255206", "title"=>"Results of multiple binary logistic regression analyses involving the candidates IAT in Study 2.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-29 01:26:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/584298"], "description"=>"<p>Probability of voting for Obama (vs. McCain) as a function of IAT, decidedness, and their interaction at time 1. High values indicate stronger implicit preferences for Obama (relative to McCain), and a higher probability of voting for Obama (vs. McCain). The IAT predicted the dichotomous choice of vote better for decided as compared to undecided voters as indicated by the steeper line for decided as compared to undecided voters. This indicates that the region of unclear prediction on the basis of IAT-scores (abscissa) between voting for McCain (score on the ordinate of 0) and voting for Obama (score on the ordinate of 1) was smaller for decided than undecided voters, leading to more correctly predicted votes for decided than undecided individuals. IAT scores were z-standardized prior to the analysis.</p>", "links"=>[], "tags"=>["obama"], "article_id"=>254795, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044130.g001", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Probability_of_voting_for_Obama_vs_McCain_/254795", "title"=>"Probability of voting for Obama (vs. McCain).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-29 01:19:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/584460"], "description"=>"<p><i>Note</i>. IAT  =  implicit association test. The order of combined blocks was experimentally controlled across participants.</p>", "links"=>[], "tags"=>["iats", "studies"], "article_id"=>254957, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044130.t001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Procedure_of_IATs_in_Studies_1_and_2_/254957", "title"=>"Procedure of IATs in Studies 1 and 2.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-29 01:22:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/584628"], "description"=>"<p><i>Note</i>. <i>N</i> = 610. B: regression weight B; <i>SE</i>: standard error of the regression weight B; Wald: Wald criterion; Exp(B): Odds ratio. Relative amount by which the odds increase (Exp(B) >1.0) or decrease (Exp(B) <1.0) when the value of the predictor is increased by 1 unit; CCC: correctly classified cases; DV: voting behavior (0 =  right political camp, 1 =  left political camp). All continuous variables were z-standardized prior to the analyses.</p>", "links"=>[], "tags"=>["binary", "logistic", "regression", "analyses", "involving", "camps", "IAT"], "article_id"=>255119, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044130.t005", "stats"=>{"downloads"=>6, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_multiple_binary_logistic_regression_analyses_involving_the_political_camps_IAT_in_Study_2_/255119", "title"=>"Results of multiple binary logistic regression analyses involving the political camps IAT in Study 2.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-29 01:25:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/584539"], "description"=>"<p><i>Note</i>. <i>N</i> = 3594. B: regression weight B; <i>SE</i>: standard error of the regression weight B; Wald: Wald criterion; Exp(B): Odds ratio. Relative amount by which the odds increase (Exp(B)>1.0) or decrease (Exp(B)<1.0) when the value of the predictor is increased by 1 unit; CCC: correctly classified cases; DV: voting behavior (0 = McCain, 1 = Obama). The IAT, explicit measure and decidedness information used in this analysis was obtained at time 1. All continuous variables were z-standardized prior to the analyses.</p>", "links"=>[], "tags"=>["binary", "logistic", "regression", "analyses", "decided", "undecided"], "article_id"=>255028, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044130.t003", "stats"=>{"downloads"=>5, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_multiple_binary_logistic_regression_analyses_in_Study_1_including_both_decided_and_undecided_voters_/255028", "title"=>"Results of multiple binary logistic regression analyses in Study 1 including both decided and undecided voters.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-29 01:23:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/584678"], "description"=>"<p><i>Note</i>. B: regression weight B; <i>SE</i>: standard error of the regression weight B; Wald: Wald criterion; Exp(B): Odds ratio. Relative amount by which the odds increase (Exp(B) >1.0) or decrease (Exp(B) <1.0) when the value of the predictor is increased by 1 unit; CCC: correctly classified cases; DV: voting behavior (0 =  right political camp, 1 =  left political camp). All continuous variables were z-standardized separately for decided and undecided voters prior to the analyses.</p>", "links"=>[], "tags"=>["binary", "logistic", "regression", "analyses", "involving", "candidates", "IAT", "separately", "decided", "undecided"], "article_id"=>255161, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044130.t006", "stats"=>{"downloads"=>3, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_the_multiple_binary_logistic_regression_analyses_involving_the_candidates_IAT_in_Study_2_separately_for_decided_and_undecided_voters_/255161", "title"=>"Results of the multiple binary logistic regression analyses involving the candidates IAT in Study 2, separately for decided and undecided voters.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-29 01:26:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/584511"], "description"=>"<p><i>Note</i>. B: regression weight B; <i>SE</i>: standard error of the regression weight B; Wald: Wald criterion; Exp(B): Odds ratio. Relative amount by which the odds increase (Exp(B)>1.0) or decrease (Exp(B)<1.0) when the value of the predictor is increased by 1 unit; CCC: correctly classified cases; DV: voting behavior (0 = McCain, 1 = Obama). The IAT, explicit measure and decidedness information used in this analysis was obtained at time 1. All continuous variables were z-standardized separately for decided and undecided voters prior to the analyses.</p>", "links"=>[], "tags"=>["binary", "logistic", "regression", "analyses", "separately", "decided", "undecided"], "article_id"=>255001, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044130.t002", "stats"=>{"downloads"=>9, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_the_multiple_binary_logistic_regression_analyses_in_Study_1_separately_for_decided_and_undecided_voters_/255001", "title"=>"Results of the multiple binary logistic regression analyses in Study 1, separately for decided and undecided voters.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-29 01:23:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/584587"], "description"=>"<p><i>Note</i>. B: regression weight B; <i>SE</i>: standard error of the regression weight B; Wald: Wald criterion; Exp(B): Odds ratio. Relative amount by which the odds increase (Exp(B) >1.0) or decrease (Exp(B) <1.0) when the value of the predictor is increased by 1 unit; CCC: correctly classified cases; DV: voting behavior (0 =  right political camp, 1 =  left political camp). All continuous variables were z-standardized separately for decided and undecided voters prior to the analyses.</p>", "links"=>[], "tags"=>["binary", "logistic", "regression", "analyses", "involving", "camps", "IAT", "separately", "decided", "undecided"], "article_id"=>255069, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044130.t004", "stats"=>{"downloads"=>5, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_the_multiple_binary_logistic_regression_analyses_involving_the_political_camps_IAT_in_Study_2_separately_for_decided_and_undecided_voters_/255069", "title"=>"Results of the multiple binary logistic regression analyses involving the political camps IAT in Study 2, separately for decided and undecided voters.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-29 01:24:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/584386"], "description"=>"<p>Two-wave-two-variable panel design analysis of implicit and explicit attitude change between the pre- and post-election assessments for decided (<i>n</i> = 366) and undecided (<i>n</i> = 186) voters in Study 2. Implicit attitudes were indicated by the ‘political camps IAT’. Horizontal arrows indicate stability, diagonal arrows indicate change. Numbers represent standardized beta values of simultaneous multiple regression analyses (***<i>p</i><.001; ns: not significant).</p>", "links"=>[], "tags"=>["neuroscience"], "article_id"=>254878, "categories"=>["Neuroscience"], "users"=>["Malte Friese", "Colin Tucker Smith", "Thomas Plischke", "Matthias Bluemke", "Brian A. Nosek"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044130.g002", "stats"=>{"downloads"=>4, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Implicit_and_explicit_attitude_change_in_Study_2_/254878", "title"=>"Implicit and explicit attitude change in Study 2.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-29 01:21:18"}

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Relative Metric

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