2014
DOI: 10.1111/bjso.12058
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Construal level as a moderator of the role of affective and cognitive attitudes in the prediction of health‐risk behavioural intentions

Abstract: Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in: El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription Construal level as a moderator of the role of affective and cognitive attitudes in the prediction of health-risk behavioral intentions.Many cases of health-promoting and health-risk behaviors present intercomponent ambivalence, a kind of "heart vs. mind conflict" whi… Show more

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Cited by 16 publications
(20 citation statements)
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“…CLT also argues that objects, features, and information that are congruent with a given mindset will have greater impact than those that are incongruent with the mindset. For example, for people in an abstract (versus concrete) mindset, abstract concepts such as their values (Eyal, Sagristano, Trope, Liberman, & Chaiken, 2009;Torelli & Kaikati, 2009), ideology (Ledgerwood, Trope, & Chaiken, 2010), general attitudes (Carrera, Muñoz, Caballero, Fernández, & Albarracín, 2012) and affective attitudes (see also Carrera, Caballero, Muñoz, González-Iraizoz, & Fernández, 2014) are more likely to predict subsequent behavioral intentions.…”
mentioning
confidence: 99%
“…CLT also argues that objects, features, and information that are congruent with a given mindset will have greater impact than those that are incongruent with the mindset. For example, for people in an abstract (versus concrete) mindset, abstract concepts such as their values (Eyal, Sagristano, Trope, Liberman, & Chaiken, 2009;Torelli & Kaikati, 2009), ideology (Ledgerwood, Trope, & Chaiken, 2010), general attitudes (Carrera, Muñoz, Caballero, Fernández, & Albarracín, 2012) and affective attitudes (see also Carrera, Caballero, Muñoz, González-Iraizoz, & Fernández, 2014) are more likely to predict subsequent behavioral intentions.…”
mentioning
confidence: 99%
“…Prior studies (Calderon, Mac Giolla, Granhag, & Ask, 2017; Carrera et al., 2014) which examined the effect of construal level on intention, using an experimental design, had higher sample sizes (e.g., 125 participants in Calderon et al., 2017 and 87 in Carrera et al., 2014) than that in this study. Although the sample size in this study was smaller, compared to those in prior studies, it was appropriate because the suitable sample size for a moderate effect size ( f = .20) with alpha set at .05 and power at .80 through G*Power software (Faul, Erdfelder, Buchner, & Lang, 2009) was 52.…”
Section: Discussionmentioning
confidence: 78%
“…Although there was no statistically significant difference in continuation intentions of failure between the measurement times (pre- vs. post-) ( F (1, 53) = 0.01, p = .921) and between the groups (FSF vs. DSF) ( F (1, 53) = 0.51, p = .479), an interaction effect (pre- vs. post- × FSF vs. DSF) was observed at p < .15 (see Carrera et al., 2014) ( F (1, 53) = 2.21, p = .143). Table 4 shows that continuation intentions of failure were increased in DSF, but decreased in FSF.…”
Section: Resultsmentioning
confidence: 98%
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“…In our proposal, the role played by the construal level is particularly significant in influencing predictions related to behaviors. CLT has shown that, when people use an abstract mindset, they form judgments and behavioral intentions focusing more on their personal values (Eyal, Sagristano, Trope, Liberman, & Chaiken, 2009), general attitudes (Carrera, Muñoz, Caballero, Fernández, & Albarracín, 2012), affective attitudes (Carrera, Caballero, Muñoz, González-Iraizoz, & Fernández, 2014), and desired attitudes (Carrera, Caballero, Fernández, & Muñoz, 2017).…”
mentioning
confidence: 99%