Affective components of electoral behavior: design and validity of visual  association test of attitude

Леонидович, Чернозуб Олег

doi:10.14515/monitoring.2018.3.01

Cited by 6 publications

(8 citation statements)

References 24 publications

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“…In this respect, adding the factor of affective attitudes as an additional filter in the forecasting model can continuously increase the forecasting accuracy. In full accordance with the proposed model, this phenomenon is well observed in the case of higher political uncertainty and a relative mismatch in attitudes (2016) and least observed in the case of lower political uncertainty and a relative attitude-behavior consistency (2018). The importance of the problem formulated by the author arises from a high probability of significant political uncertainty in the 2021 and 2024 elections.…”

supporting

confidence: 66%

Intention-based electoral forecasting: limits of accuracy of conventional model and its development perspectives with regard to emotional factors

Чернозуб¹

2018

THE MONITORING OF PUBLIC OPINION

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supporting

confidence: 66%

Intention-based electoral forecasting: limits of accuracy of conventional model and its development perspectives with regard to emotional factors

Чернозуб¹

2018

THE MONITORING OF PUBLIC OPINION

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“…Given the practical limitations of the poll methodology, GATA was developed in 2015 as a functional equivalent and prospective substitute for IAT [9][10][11]. It is the modified Etkind's Colors Test (ECT) [12] which is a modification of the Lüscher test [29].…”

Section: Gata: Design and Measurementmentioning

confidence: 99%

Graphic associative test of attitudes as a convenient implicit measurement tool for mass polls

Чернозуб

2023

Vestnik Rossijskogo universiteta druzhby narodov. Serija Sociol

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Several latest elections and referendums were marked by the dramatic failure of electoral forecasts based on mass polls. To respond to the dissatisfaction of the public and politicians, alternative approaches like prediction markets, Implicit Attitude Test (IAT), expectationbased forecasts and so on were developed. IAT proves to be one of the most efficient ways to enrich the forecasting models and improve their accuracy. The problem is that the original form of IAT implies too rigid rules to be applied in the traditional mass poll. As a thorough laboratory-style measurement of nervous reactions to stimuli, IAT requires a special environment, for instance, nothing should disturb or distract respondents from performing experimental tasks. Such an environment is difficult to provide during the mass poll’s fieldwork; thereby, researchers usually implement IAT on small samples. This article presents the Graphic Associative Test of Attitude (GATA) as a tool for mass polls. It is the IAT’s functional analog developed by the author and tested in a wide range of preelectoral mass polls in Russia. GATA is easy to use even with inexperienced interviewers, and its simple and intuitive-clear tasks do not create additional barriers for respondents and do not decrease the response rate. At the same time, in a reliable way, GATA identifies implicit factors of behavior and helps to improve the accuracy of forecast. As a theoretical research, this study proves the ‘dual attitude’ concept of the structural theory of attitude.

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“…• The explicit component of the attitude was represented by the variable formed by the answers to the correspondence of the victory of the United Russia Party in the next elections to the respondent's interests (yes -no). • The implicit component of the attitude was identified with the GATO test [1] and measured the valence of an unconscious attitude towards the party (positive -negative implicit attitude towards the United Russia Party). • The set of initial factors influencing the attitude was presented by a series of 'ideologically biased' statements about the United Russia Party, with which respondents could agree or disagree ('strongly agree, rather agree' and 'rather disagree, strongly disagree").…”

Section: The General Idea Of the Dynamic Stagementioning

confidence: 99%

The two-component model of behavior factors: The phenomenon of anticipatory engagement of a situationally dominant factor

Чернозуб

Tereshkin²

2022

Vestnik Rossijskogo universiteta druzhby narodov. Serija Sociol

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One of the debatable issues in the theory of social action is the interaction of explicit and implicit factors in their influence on human behavior. The ‘parallel’ influence models oppose the ‘sequential’ models. The former argue that one factor determines another, and the last one influences behavior. The latter argue that factors are of an independent nature and affect behavior each in their own way. In practical terms, agreeing with one of these models means rejecting or accepting the idea of a conflict of factors and of behavior as a result of this conflict. In the previous article, we showed that the influence of ideologically biased statements on the explicit and implicit components of the attitude towards the object of these statements can be exactly the opposite. It is necessary to check whether this phenomenon is stable. If so, it will be necessary to recognize the independent nature of the factors of behavior. Such a check was carried out and (within the limits of the empirical data) confirmed the correctness of the ‘parallel’ models. This conclusion is all the more convincing because it was obtained by observing the dynamic reaction of the associations between the components of the attitude and the assumed factors of its formation. As the criticality of respondents increases, the nature of this relationship predictably changes. But it changes differently for the explicit and implicit component of the attitude. Moreover, we identified a phenomenon of the “anticipatory engagement of a situationally dominant factor”. If we are not mistaken in understanding its nature, the very foundations of theories of the ‘sequential’ influence are under a question.

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Affective components of electoral behavior: design and validity of visual association test of attitude

Cited by 6 publications

References 24 publications

Intention-based electoral forecasting: limits of accuracy of conventional model and its development perspectives with regard to emotional factors

Intention-based electoral forecasting: limits of accuracy of conventional model and its development perspectives with regard to emotional factors

Graphic associative test of attitudes as a convenient implicit measurement tool for mass polls

The two-component model of behavior factors: The phenomenon of anticipatory engagement of a situationally dominant factor

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