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The temporal stability and predictive validity of affect‐based and cognition‐based intentions

Overview of attention for article published in British Journal of Social Psychology, April 2013
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Title
The temporal stability and predictive validity of affect‐based and cognition‐based intentions
Published in
British Journal of Social Psychology, April 2013
DOI 10.1111/bjso.12034
Pubmed ID
Authors

Mario Keer, Mark Conner, Bas Van den Putte, Peter Neijens

Abstract

Recent research has revealed individual differences in the extent to which people base their intentions on affect and cognition. Two studies are presented that assess whether such differences predict the strength of individuals' intention-behaviour relationships. Participants completed measures of affect, cognition, intention, and behaviour regarding a range of health behaviours. Study 1 (N = 300) found that the strength of the intention-behaviour relationship was significantly related to the extent to which individuals based their intentions on affect, but not to the extent they based them on cognition. Study 2 (N = 387) replicated the findings of the first study. In addition, Study 2 revealed that intention stability mediated the relationship between the degree people based their intentions on affect and the strength of the intention-behaviour relationship. Thus, individuals who base their intentions strongly on affect have more stable intentions, and are therefore more likely to enact them.

X Demographics

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 29%
Student > Master 5 8%
Student > Bachelor 5 8%
Researcher 4 7%
Student > Doctoral Student 4 7%
Other 11 19%
Unknown 13 22%
Readers by discipline Count As %
Psychology 20 34%
Business, Management and Accounting 8 14%
Social Sciences 5 8%
Computer Science 3 5%
Engineering 2 3%
Other 7 12%
Unknown 14 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2016.
All research outputs
#13,776,385
of 24,558,777 outputs
Outputs from British Journal of Social Psychology
#756
of 1,007 outputs
Outputs of similar age
#104,129
of 201,551 outputs
Outputs of similar age from British Journal of Social Psychology
#8
of 9 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,007 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 201,551 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.