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Getting warmer: The optimal distance...

Howansky, Kristina.

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Getting warmer: The optimal distance for motivating climate change mitigation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Getting warmer: The optimal distance for motivating climate change mitigation./
Author:	Howansky, Kristina.
Description:	45 p.
Notes:	Source: Masters Abstracts International, Volume: 55-03.
Contained By:	Masters Abstracts International55-03(E).
Subject:	Social psychology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10016419
ISBN:	9781339495057

Getting warmer: The optimal distance for motivating climate change mitigation.
Howansky, Kristina.

Getting warmer: The optimal distance for motivating climate change mitigation. - 45 p.

Source: Masters Abstracts International, Volume: 55-03.

Thesis (M.S.)--Rutgers The State University of New Jersey - New Brunswick, 2015.

This work compared three competing models for the effect of psychological distance on climate change limiting behaviors. The Proximal Model suggested that reducing psychological distance could be beneficial for motivating pro-environmental actions. The Distal Model supported the notion that increasing distance from climate change could motivate action. And the Optimal Distance Model suggested the greatest amount of action should occur at a moderate distance. A manipulation of the temporal distance of climate change failed to produce effects on attitudes, intentions, or behaviors. However, examination of individual difference measures of distance provided support for the Proximal Model whereas decreasing the psychological distance between the self and climate change increased pro-environmental intentions. Further, perceiving climate change as near was related to increased concern, efficacy, and responsibility. The current work also establishes concern, efficacy, and responsibility as mediators between psychological distance and pro-environmental intentions. Theoretical implications and directions for future research as discussed.

ISBN: 9781339495057Subjects--Topical Terms:

520219
Social psychology.

Getting warmer: The optimal distance for motivating climate change mitigation.
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100 1 $a Howansky, Kristina. $3 3191255
245 1 0 $a Getting warmer: The optimal distance for motivating climate change mitigation.
300 $a 45 p.
500 $a Source: Masters Abstracts International, Volume: 55-03.
500 $a Adviser: Shana Cole.
502 $a Thesis (M.S.)--Rutgers The State University of New Jersey - New Brunswick, 2015.
520 $a This work compared three competing models for the effect of psychological distance on climate change limiting behaviors. The Proximal Model suggested that reducing psychological distance could be beneficial for motivating pro-environmental actions. The Distal Model supported the notion that increasing distance from climate change could motivate action. And the Optimal Distance Model suggested the greatest amount of action should occur at a moderate distance. A manipulation of the temporal distance of climate change failed to produce effects on attitudes, intentions, or behaviors. However, examination of individual difference measures of distance provided support for the Proximal Model whereas decreasing the psychological distance between the self and climate change increased pro-environmental intentions. Further, perceiving climate change as near was related to increased concern, efficacy, and responsibility. The current work also establishes concern, efficacy, and responsibility as mediators between psychological distance and pro-environmental intentions. Theoretical implications and directions for future research as discussed.
590 $a School code: 0190.
650 4 $a Social psychology. $3 520219
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Marketing. $3 536353
650 4 $a Environmental economics. $3 535179
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710 2 $a Rutgers The State University of New Jersey - New Brunswick. $b Graduate School - New Brunswick. $3 1019196
773 0 $t Masters Abstracts International $g 55-03(E).
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792 $a 2015
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10016419