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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