Abstract
Several recent elections and referendums were marked by a dramatic failure in pre-election prediction based on large-scale surveys among voters. As a reaction to public anger and discontent among politicians alternative strategies (prediction markets, Implicit Association Test (IAT), expectation-based forecast, etc.) are being developed. The industry of election polling has also made progress: a number of studies have shown that a relatively low accuracy of forecasts was caused by inconsistencies in sample design and implementation. The present article considers another factor behind election forecast errors: insufficiency of data about the declared intentions needed to make an accurate prediction. For this purpose, the author introduces a tool called GATA (Graphic Association Test of Attitude) measuring implicit attitudes/intentions and proposes to add a “stream” of implicit effects to the usual Theory of Reasoned Action (TRA) and the Theory of Planned Behavior (TPB). According to the findings, implicit factors are an actual and clearly detected phenomenon; inconsistency in explicit and implicit attitudes/intentions is typical of many voters.
The present article aims to present this phenomenon. This will be followed by another article (Implicit Factors and Voting Behavior Inconsistency: From an Attitude to Behavior) in the next issue of the Monitoring of Public Opinion: Economic and Social Changes (2020, no.5) which will highlight behavioral effects of inconsistencies and the results of a combined use of implicit and explicit factors in the election forecast model.
Publisher
VCIOM, Russia (Russian Public Opinion Research Center)
Subject
Economics, Econometrics and Finance (miscellaneous),Sociology and Political Science
Cited by
3 articles.
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