Step 1: Effect of scenario condition on appreciation measures | |
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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 |