Three studies investigated implicit brand attitudes and their relation to explicit attitudes, product usage, and product differentiation. Implicit attitudes were measured using the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998). Study 1 showed expected differences in implicit attitudes between users of two leading yogurt brands, also revealing significant correlations between IAT‐measured implicit attitudes and explicit attitudes. In Study 2, users of two fast food restaurants (McDonald's and Milk Bar) showed implicit attitudi‐nal preference for their favorite restaurant. In Study 3, implicit attitudes of users of two soft drinks (Coca‐Cola and Pepsi) predicted brand preference, product usage, and brand recognition in a blind taste test. A meta‐analytic combination of the three studies showed that the use of IAT measures increased the prediction of behavior relative to explicit attitude measures alone.
In times of crisis, people are more prone to endorse conspiracy theories. Conspiracy thinking provides answers about the causes of an event, but it can also have harmful social consequences. Our research tested both the predictor and the consequences of two types of conspiracy beliefs related to the Covid-19 pandemic: (1) general conspiracy beliefs and (2) government-related conspiracy theories. In two studies in Poland (N
total
= 2726), we found that a perceived lack of individual control predicted both types of conspiracy theories, while a sense of collective control was positively related to general conspiracy beliefs but negatively associated with government-related conspiracy theories. Moreover, general conspiracy theories were related to the acceptance of xenophobic policies and to a less favourable attitude towards outgroups whereas government-related conspiracy theories were not. Additionally, people who believed in conspiratorial governments less frequently indicated that they used prevention methods, such as social distancing and handwashing. Our research demonstrates the importance of considering the content of various conspiracy theories when studying their social effects and potential causes. Knowing which attitudes may be associated with the endorsement of specific conspiracy theories can contribute to counteracting their negative consequences during crises.
Interest in unintended discrimination that can result from implicit attitudes and stereotypes (implicit biases) has stimulated many research investigations. Much of this research has used the Implicit Association Test (IAT) to measure association strengths that are presumed to underlie implicit biases. It had been more than a decade since the last published treatment of recommended best practices for research using IAT measures. After an initial draft by the first author, and continuing through three subsequent drafts, the 22 authors and 14 commenters contributed extensively to refining the selection and description of recommendation-worthy research practices. Individual judgments of agreement or disagreement were provided by 29 of the 36 authors and commenters. Of the 21 recommended practices for conducting research with IAT measures presented in this article, all but two were endorsed by 90% or more of those who felt knowledgeable enough to express agreement or disagreement; only 4% of the totality of judgments expressed disagreement. For two practices that were retained despite more than two judgments of disagreement (four for one, five for the other), the bases for those disagreements are described in presenting the recommendations. The article additionally provides recommendations for how to report procedures of IAT measures in empirical articles.
New technological solutions play an important role in preventing the spread of Covid-19. Many countries have implemented tracking applications or other surveillance systems, which may raise concerns about privacy and civil rights violations but may be also perceived by citizens as a way to reduce threat and uncertainty. Our research examined whether feelings evoked by the pandemic (perceived threat and lack of control) as well as more stable ideological views predict the acceptance of such technologies. In two studies conducted in Poland, we found that perceived personal threat and lack of personal control were significantly positively related to the acceptance of surveillance technologies, but their predictive value was smaller than that of individual differences in authoritarianism and endorsement of liberty. Moreover, we found that the relationship between the acceptance of surveillance technologies and both perceived threat and lack of control was particularly strong among people high in authoritarianism. Our research shows that the negative feelings evoked by the unprecedented global crisis may inspire positive attitudes towards helpful but controversial surveillance technologies but that they do so to a lesser extent than ideological beliefs.
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