CLIMR_main-analysis_report.md

Construal Level International Multilab Replication (CLIMR) Project: Main Analysis Report

CLIMR Team 2025-01-07

Main Figure

knitr::include_graphics("./figures/climr_main_figure.png")

Meta-Analytic Models

Liberman & Trope (1998, Study 1)

meta_temporal

## 
## Random-Effects Model (k = 79; tau^2 estimator: REML)
## 
## tau^2 (estimated amount of total heterogeneity): 0.0097 (SE = 0.0176)
## tau (square root of estimated tau^2 value):      0.0984
## I^2 (total heterogeneity / total variability):   8.07%
## H^2 (total variability / sampling variability):  1.09
## 
## Test for Heterogeneity:
## Q(df = 78) = 93.8832, p-val = 0.1062
## 
## Model Results:
## 
## estimate      se    zval    pval   ci.lb   ci.ub    
##   0.0798  0.0393  2.0298  0.0424  0.0027  0.1569  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

bt_temporal

##        diff   ci_lower ci_upper
## 1 0.3184154 0.01095177 0.625879

Fujita et al. (2006, Study 1)

meta_spatial

## 
## Random-Effects Model (k = 79; tau^2 estimator: REML)
## 
## tau^2 (estimated amount of total heterogeneity): 0.0000 (SE = 0.0150)
## tau (square root of estimated tau^2 value):      0.0026
## I^2 (total heterogeneity / total variability):   0.01%
## H^2 (total variability / sampling variability):  1.00
## 
## Test for Heterogeneity:
## Q(df = 78) = 72.1983, p-val = 0.6638
## 
## Model Results:
## 
## estimate      se    zval    pval    ci.lb   ci.ub    
##   0.0410  0.0370  1.1088  0.2675  -0.0315  0.1135    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

bt_spatial

##        diff    ci_lower  ci_upper
## 1 0.1107636 -0.08502635 0.3065536

Social Distance (Paradigmatic Replication)

meta_social

## 
## Random-Effects Model (k = 79; tau^2 estimator: REML)
## 
## tau^2 (estimated amount of total heterogeneity): 0.0081 (SE = 0.0173)
## tau (square root of estimated tau^2 value):      0.0900
## I^2 (total heterogeneity / total variability):   6.77%
## H^2 (total variability / sampling variability):  1.07
## 
## Test for Heterogeneity:
## Q(df = 78) = 85.4081, p-val = 0.2649
## 
## Model Results:
## 
## estimate      se     zval    pval    ci.lb    ci.ub      
##  -0.2680  0.0393  -6.8233  <.0001  -0.3450  -0.1911  *** 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

bt_social

##       diff  ci_lower   ci_upper
## 1 -1.38679 -1.785142 -0.9884379

Likelihood Distance (Paradigmatic Replication)

meta_likelihood

## 
## Random-Effects Model (k = 78; tau^2 estimator: REML)
## 
## tau^2 (estimated amount of total heterogeneity): 0.0109 (SE = 0.0177)
## tau (square root of estimated tau^2 value):      0.1044
## I^2 (total heterogeneity / total variability):   9.11%
## H^2 (total variability / sampling variability):  1.10
## 
## Test for Heterogeneity:
## Q(df = 77) = 92.0481, p-val = 0.1161
## 
## Model Results:
## 
## estimate      se    zval    pval    ci.lb   ci.ub    
##   0.0314  0.0397  0.7926  0.4280  -0.0463  0.1091    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

bt_likelihood

##        diff    ci_lower  ci_upper
## 1 0.0636951 -0.09380308 0.2211933

Arboretum

knitr::include_graphics("./figures/climr_arboretum.png")