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. 2022 Aug 11;27(2):195–225. doi: 10.1177/10888683221107267

Table 4.

Results of Study-Level Moderation Analyses.

Moderator Summary effect and 95% CI Test of moderation Egger’s test
g LL UL t df p m Statistic p I 2 p
Subtlety of norm salience t(50.0) = 2.87 .006 55.5%
 Explicit 0.42 0.34 0.51 10.54 33.8 <.001 39 .036
 Subtle 0.20 0.07 0.34 3.09 23.0 .005 25 .015
Norm category F(2, 14.8) = 5.41 .017 57.2%
 Injunctive norm 0.25 0.16 0.35 5.61 37.7 <.001 42 .002
 Descriptive norm 0.56 0.31 0.80 5.63 5.8 .001 7
 Personal norm 0.47 0.31 0.63 6.27 12.6 <.001 15
Order of manipulations t(50.2) = 0.00 .997 63.8%
 MS first 0.33 0.22 0.45 5.96 32.3 <.001 35 .015
 Norm salience first 0.33 0.22 0.45 5.89 23.2 <.001 27 .011
Data collection F(2, 8.4) = 4.52 .047 61.1%
 Laboratory 0.40 0.29 0.50 7.60 36.0 <.001 40 .013
 Internet 0.21 0.08 0.34 3.41 17.6 .003 20 .151
 Field 0.45 0.32 0.58 10.92 3.0 .002 4
MS control topic t(31.9) = 2.77 .009 57.7%
 Neutral 0.18 0.04 0.32 2.68 16.5 .016 18
 Aversive 0.40 0.31 0.49 9.11 39.5 <.001 46 .002
Sample origin F(4, 8.9) = 1.52 .276 60.5%
 Europe 0.30 0.17 0.42 4.90 18.6 <.001 21 .061
 North America 0.32 0.20 0.43 5.77 29.8 <.001 33 .002
 Asian 0.37 3.46 4.0 6
 Arabian 0.72 2.97 2.0 3
 Israel 0.41 1
Number of delay tasks F(2, 17.3) = 0.53 .600 62.7%
 Zero 0.39 0.26 0.53 6.54 8.9 <.001 10
 One 0.31 0.21 0.41 6.24 37.3 <.001 41 .012
 Two 0.34 0.07 0.61 2.90 8.4 .019 11
Research team F(3, 34.1) = 8.22 .007 52.4
 Schindler/Reinhard 0.11 −0.02 0.25 1.77 16.6 .095 19
 Fritsche/Jonas 0.43 0.30 0.55 7.30 12.7 <.001 15
 Pyszczynski 0.55 0.35 0.76 6.34 7.8 <.001 9
 others 0.37 0.24 0.51 5.84 17.7 <.001 21 .021
Opposed norms salient t(36.4) = 1.37 .180 62.5%
 No 0.30 0.21 0.39 6.88 39.1 <.001 44 .007
 Yes 0.42 0.26 0.58 5.40 18.3 <.001 20 .104

Note. g = effect size; CI = confidence interval; LL = lower limit of the 95% CI; UL = upper limit of the 95% CI; t = t value associated with the g value in the same row testing statistical significance in the respective moderator subgroup; df = associated small-sample-corrected degrees of freedom; p = p value associated with the t value and df in the same row; m = number of effect sizes in the respective moderator subgroup. Statistic (test of moderation): t value for single parameter tests or F value for multiple parameter tests and according degrees of freedom. Significant test statistics indicate the significance of the overall model. I2 reflects the proportion of true variance in the total observed variance of effect sizes after accounting for the respective moderator. Note that for two subgroups in the sample origin analysis, degrees of freedom fell below 4. Significance tests for the summary effects should thus not be interpreted. Accordingly, we did not report LL, UL, and p values for the respective subgroups. For one subgroup in the sample origin analysis, there was only one study; therefore, significance tests for the summary effects were not conducted. Egger’s test refers to the positive relationship between the effect size and the standard error. A significant p value indicates a significant relationship suggesting small-study effects and an overestimation of the unadjusted effect size. Egger’s test was only conducted for moderator subgroups including 20 studies or more. All tested relationships were positive in direction; nonsignificant effects should be interpreted with caution due to low test power.