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Construal Level Theory and Spatial Distance

Implications for Mental Representation, Judgment, and Behavior

Bibliographic Data

ID5338939
AuthorsMarlone D Henderson (0000-0002-7861-6003, The University of Texas at Austin), Cheryl J Wakslak (0000-0002-9748-1896, University of Southern California), Kentaro Fujita (0000-0002-6902-9085, The Ohio State University), John Rohrbach (The University of Texas at Austin)
Year2011
Volume42
Issue3
Pages165-173
Publication date2011-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueSocial Psychology (JOURNAL)
Journal identifiersISSN: 1864-9335 • E-ISSN: 2151-2590
PublisherHogrefe Publishing Group (PUBLISHER)
DOI10.1027/1864-9335/a000060
OpenAlexW2116111460
LanguageEN
Citations received28
References cited61

Growing evidence points to a bidirectional relationship between spatial distance and level of mental representation, whereby distant (vs. near) events are represented by a higher level of representation, and higher levels of representations increase perceptions of distance. In the current article, we review research that establishes this association and explores its implications. We begin by briefly describing construal level theory, the theoretical framework that gives rise to this associative prediction, and then review a set of theory-consistent findings that serve to illuminate the way that spatial distance influences cognition and behavior and the way in which people make judgments about spatial distance. Finally, we discuss open questions for future research on spatial distance using a construal level theory approach

Association (psychology) · Associative property · Cognition · Cognitive psychology · Construal level theory · Mental representation · Perception · Representation (politics) · Set (abstract data type) · Spatial cognition · Behavioral Health and Interventions · Computer Science · Cultural Differences and Values · Mathematics · Psychology · Social and Intergroup Psychology · Social Psychology

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Unique citing works28
Citations per year2
Citation span2012 - 2026 (15)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 26
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