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Table 5 Significant effects of the mediation analyses (Study 2)

From: Prevention praised, cure preferred: results of between-subjects experimental studies comparing (monetary) appreciation for preventive and curative interventions

Step 1: Effect of scenario condition on appreciation measures  
General appreciation scale B = .44, SE = .11, p < .001
Percentage that health insurance should compensate B = 2.20, SE = .52, p < .001
Allocation of money to Lytgens’ intervention/nursing home B = -.75, SE = .20, p < .001
Allocation of money to Lytgens’ intervention/alcohol prevention B = -.56, SE = .22, p = .01
Step 2: Effect of scenario condition on explanatory variables  
Urgency to introduce method B = .48, SE = .15, p = .002
Urgency to develop similar methods B = .31, SE = .15, p = .04
Certainty of attribution (Professor Lytgens saves lives) B = .84, SE = .19, p < .001
Certainty of attribution (less mortality) B = .42, SE = .16, p = .01.
Time interval B = -.59, SE = .18, p = .002
Step 3: Effect of significant explanatory variables on significant appreciation measures while controlled for scenario condition  
General appreciation scale  
-Urgency to introduce the method B = .16, SE = .07, p = .03
-Certainty of less mortality B = .20, SE = .06, p = .002
Percentage that health insurance should compensate  
-Urgency to introduce the method B = 1.53, SE = .37, p < .001
Allocation of money to Lytgens’ intervention/nursing homes  
-Urgency to introduce the method B = -.34, SE = .15, p = .03
Step 4: Effect of scenario condition on significant appreciation measures while controlling significant explanatory variables  
General appreciation scale B = .16, SE = .10, p = .13
Percentage that health insurance should compensate B = 1.39, SE = .54, p = .01
Allocation of money to Lytgens’ intervention/ nursing homes B = 1.39, SE = .54, p = .01