| Literature DB >> 26241042 |
André L A Rabelo1, Victor N Keller1, Ronaldo Pilati1, Jelte M Wicherts2.
Abstract
In different cultures, people use the concept of weight to refer to important matters. Recent studies in grounded cognition suggested that experiences of weight affect unrelated judgments of importance in metaphor-congruent ways. Theories in grounded cognition and prime-to-behavior effects state that sensations of weight activate concepts of importance, which may affect morality-related variables that are influenced by judgments of importance. The present research aimed to test the effect of carrying a heavy (or light) clipboard on the perceived importance of helping and on the judged severity of moral transgressions. After finding no significant effects in two experiments, a third study explored whether these results were due to a specific lack of effect of weight on morality-related variables or to the concept of importance not being grounded in sensations of weight in Brazilian samples. Specifically, in Study 3 we attempted to replicate two seminal studies but found no significant effects. Together with evidence of publication bias in a meta-analysis of published studies, the current results suggest that the concept of importance may not be as universally grounded in sensations of weight as previously assumed. We discuss the implications of these results for grounded cognition theories and methodological and statistical aspects of priming studies.Entities:
Mesh:
Year: 2015 PMID: 26241042 PMCID: PMC4524628 DOI: 10.1371/journal.pone.0134808
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Influence of weight on the dependent measures of Experiment 1.
| Measure | Clipboard | |
|---|---|---|
| Light (N = 29) | Heavy (N = 27) | |
| Importance | 5.38 (1.43) | 5.59 (1.19) |
| Perception of guilt | 5.24 (1.04) | 5.00 (1.16) |
| Sympathy | 5.39 (1.06) | 5.22 (.92) |
| Prosocial intentions | 5.67(1.28) | 5.78 (1.00) |
Standard deviations are in parenthesis.
Influence of weight on each moral vignette of Experiment 2.
| Moral vignette | Clipboard | ||
|---|---|---|---|
| Light (N = 49) | Heavy (N = 47) | Test statistics | |
| Sex between siblings | 8.16 (2.58) | 8.66 (2.30) |
|
| Lost wallet | 8.14 (2.67) | 7.66 (3.08) |
|
| Dog eaten | 5.10 (3.86) | 6.02 (3.50) |
|
| Wrong change | 8.88 (1.39) | 8.47 (2.47) |
|
| Running over | 5.33 (2.90) | 4.98 (2.72) |
|
Standard deviations are in parenthesis.
Influence of weight on the dependent measures of Experiment 3.
| Measure | Clipboard | |
|---|---|---|
| Light (N = 48) | Heavy (N = 52) | |
| Job candidate rating | 5.07 (.96) | 4.77 (.95) |
| Important issues | 3.38 (1.12) | 3.31 (1.10) |
| Less important issues | 2.37 (1.36) | 2.69 (1.21) |
| Cognitive effort | 3.67 (1.42) | 3.40 (1.38) |
| Relevance of research | 4.90 (1.13) | 4.79 (1.36) |
Standard deviations are in parenthesis.
Experiments of the effects of weight on importance perception and judgment.
| Reference | N | Effect size ( |
|
|---|---|---|---|
| Ackerman et al. (2010) Study 1 [ | 54 | .542 (.274) | .048 |
| Ackerman et al. (2010) Study 2 [ | 43 | .559 (.306) | .069 |
| Chandler et al. (2012) Study 1 [ | 100 | .419 (.201) | .037 |
| Chandler et al. (2012) Study 2 [ | 60 | .651 (.262) | .013 |
| Chandler et al. (2012) Study 3 [ | 100 | .474 (.201) | .019 |
| Hafner (2013) Study 1 [ | 60 | .520 (.259) | .046 |
| Jostmann et al. (2009) Study 1 [ | 40 | .696 (.320) | .031 |
| Jostmann et al. (2009) Study 2 [ | 50 | .597 (.282) | .035 |
| Jostmann et al. (2009) Study 3 [ | 49 | .616 (.288) | .033 |
| Jostmann et al. (2009) Study 4 [ | 40 | .711 (.320) | .027 |
| Kouchaki et al. (2013) Study 1a [ | 30 | .435 (.291) | .137 |
| Kouchaki et al. (2013) Study 1c [ | 54 | .586 (.274) | .033 |
| Kouchaki et al. (2013) Study 2 [ | 51 | .640 (.283) | .024 |
| Kouchaki et al. (2013) Study 3 [ | 71 | .541 (.239) | .024 |
| Kouchaki et al. (2013) Study 4 [ | 124 | .540 (.182) | .003 |
| Maglio & Trope (2012) Study 2 [ | 71 | .400 (.237) | .093 |
| Zhang & Li (2012) Study 1 [ | 70 | .563 (.241) | .020 |
| Zhang & Li (2012)Study 2 [ | 78 | .447(.227) | .050 |
| Zhang & Li (2012) Study 4 [ | 80 | .561(.226) | .013 |
| Kaspar & Krull (2013)[ | 90 | .637 (.214) | .003 |
| Kaspar (2013) study 1 [ | 40 | .013 (.331) | .002 |
| Kaspar (2013) study 2 [ | 51 | .636 (.283) | .025 |
| Kaspar (2013) study 3 [ | 62 | .571 (.256) | .026 |
| Kaspar (2013) study 4 [ | 97 | .414 (.204) | .043 |
| Kaspar (2013) study 5 [ | 60 | .625 (.261) | .017 |