Participants saw one of three dominant messages and one of three
non-dominant messages:
dom_1: By now you know the task at hand. If you don’t complete it
and do it well, you will not get the full bonus.
dom_2: All right, it’s go time. If you want to keep your entire
bonus, you’re going to need to jump in and nail this task.
dom_3: Ok, get in there and do your absolute best across all rounds.
If you don’t perform well, I will take away some or all of your
bonus.
nondom_1: I appreciate your hard work. Just look at the shapes
carefully and try to get as many as you can right.
nondom_2: Please complete this task to the best of your ability.
Thanks!
nondom_3: Your job in this task is to select the shapes that match
the description. Make sure you look at them carefully.
Which message did people select?
message_type | n |
---|---|
dom | 19 |
nondom | 77 |
hmm. Not as good as the earlier pilot. But maybe this is ok. Let’s see which dominant messages ones are chosen:
message | n |
---|---|
dom_1 | 6 |
dom_2 | 10 |
dom_3 | 3 |
nondom_1 | 28 |
nondom_2 | 27 |
nondom_3 | 22 |
Will the employee do the task?
message | prediction | n |
---|---|---|
dom | do-task | 58 |
dom | skip-task | 38 |
nondom | do-task | 92 |
nondom | skip-task | 4 |
If they do the task, how many points will they score?
How much money will it take to get them to do another task with this manager?
How much money will it take to get them to do another task with someone at random?
Price of doing the task with the current manager MINUS price of doing the task with someone at random.
we like this.
What will be the impact of this message on your employee’s attitude towards you?
If you were an employee and you received the message above from your manager, what would be its impact on your attitudes towards your manager?
For each level of their performance below, please indicate what bonus you would like them to receive. You can select between 0 and 200 cents for each. 200 cents is the full $2.00.
1 = Strongly Disagree to 7 = Strongly Agree
1. It’s a dog-eat-dog world where you have to be ruthless at times
2. Life is not governed by the “survival of the fittest.” We should let
compassion and moral laws be our guide [R]
3. There is really no such thing as “right” and “wrong.” It all boils
down to what you can get away with
4. One of the most useful skills a person should develop is how to look
someone straight in the eye and lie convincingly
5. It is better to be loved than to be feared [R]
6. My knowledge and experience tell me that the social world we live in
is basically a competitive “jungle” in which the fittest survive and
succeed, in which power, wealth, and winning are everything, and might
is right
7. Do unto others as you would have them do unto you, and never do
anything unfair to someone else [R]
8. Basically people are objects to be quietly and coolly manipulated for
one’s own benefit
9. Honesty is the best policy in all cases [R]
10. One should give others the benefit of the doubt. Most people are
trustworthy if you have faith in them [R]
Cronbach’s alpha = 0.8
is_dom: dummy-coded message chosen (0 = nondom; 1 =
dom).
man: price to get someone to do the new task with the
current manager.
rand: price to get someone to do the new task with
someone at random.
diff: price of man MINUS price of
rand.
attitude: predicted impact of the message on employee’s
attitude towards the manager.
proj: impact of the manager on the participant if they
participant was the employee.
comp: score the employee will get in the task if sent
this message.
Predictor | \(b\) | 95% CI | \(t\) | \(\mathit{df}\) | \(p\) |
---|---|---|---|---|---|
Intercept | 0.55 | [-0.06, 1.17] | 1.78 | 94 | .078 |
CWV | -0.07 | [-0.28, 0.14] | -0.64 | 94 | .526 |
Predictor | \(b\) | 95% CI | \(t\) | \(\mathit{df}\) | \(p\) |
---|---|---|---|---|---|
Intercept | -0.14 | [-0.40, 0.12] | -1.08 | 94 | .283 |
CWV | 0.12 | [0.03, 0.21] | 2.72 | 94 | .008 |
Predictor | \(b\) | 95% CI | \(t\) | \(\mathit{df}\) | \(p\) |
---|---|---|---|---|---|
Intercept | 0.23 | [0.15, 0.32] | 5.43 | 94 | < .001 |
Dom diff | -0.10 | [-0.19, -0.01] | -2.26 | 94 | .026 |
a = -0.07 (p = 0.526)
b = -0.09 (p = 0.034)
direct = 0.12 (p = 0.008)
indirect = 0.12 (p = 0.01)
a = 0.34 (p = 0.073)
b = 0.11 (p = 0)
direct = 0.12 (p = 0.008)
indirect = 0.09 (p = 0.039)
Let’s see some mean scores from our employees. First, just a
refresher, these are the messages they have seen:
dom_1: By now you know the task at hand. If you don’t complete it
and do it well, you will not get the full bonus.
dom_2: All right, it’s go time. If you want to keep your entire
bonus, you’re going to need to jump in and nail this task.
dom_3: Ok, get in there and do your absolute best across all rounds.
If you don’t perform well, I will take away some or all of your
bonus.
nondom_1: I appreciate your hard work. Just look at the shapes
carefully and try to get as many as you can right.
nondom_2: Please complete this task to the best of your ability.
Thanks!
nondom_3: Your job in this task is to select the shapes that match
the description. Make sure you look at them carefully.
message | points | again_man | again_rand | again_diff | attitude |
---|---|---|---|---|---|
dom_1 | 31.70588 | 1.875000 | 2.125000 | -0.2500000 | 3.411765 |
dom_2 | 32.87500 | 2.312500 | 2.281250 | 0.0312500 | 4.687500 |
dom_3 | 27.52941 | 2.470588 | 2.470588 | 0.0000000 | 3.294118 |
nondom_1 | 29.41667 | 2.416667 | 2.250000 | 0.1666667 | 5.833333 |
nondom_2 | 24.95000 | 2.400000 | 2.525000 | -0.1250000 | 4.700000 |
nondom_3 | 36.11111 | 2.055556 | 2.333333 | -0.2777778 | 4.222222 |
The difference score between doing it again with the manager and
doing it again with someone at random. I’ll show the relationship
between CWV and that predicted score, for managers. And I’ll overlay the
means from the employees. All of this will be per message.
We only care about dominant messages for now. So I’ll start with
that.
Ok, seeing no relationship for dom_1 and dom_2. But for dom_3, we’re
seeing the relationship in the expected direction (high CWV don’t expect
a premium for doing the second task with the same managers), but it’s
driven by low CWVers being overly pessimistic. Ok cool.
Let’s see non-dominant messages while we’re at it.
Looks a little different here. For this one, low CWVers are off in dom_2 and dom_3, and both are off in dom_1.
Predicted attitude AND predicted points -> message choice
Predictor | \(b\) | 95% CI | \(t\) | \(\mathit{df}\) | \(p\) |
---|---|---|---|---|---|
Intercept | -0.27 | [-0.49, -0.06] | -2.50 | 93 | .014 |
Attitude dom | 0.10 | [0.05, 0.15] | 4.27 | 93 | < .001 |
Comp dom | 0.00 | [0.00, 0.01] | 1.57 | 93 | .120 |
Wow. That’s pretty. Attitude is driving this effect.
Predicted price premium AND predicted points -> message choice
Predictor | \(b\) | 95% CI | \(t\) | \(\mathit{df}\) | \(p\) |
---|---|---|---|---|---|
Intercept | -0.08 | [-0.30, 0.15] | -0.66 | 93 | .512 |
Dom diff | -0.09 | [-0.17, 0.00] | -2.04 | 93 | .045 |
Comp dom | 0.01 | [0.00, 0.01] | 2.91 | 93 | .004 |
ok, compliance is doing most of the work here. But still, there’s some extra variance explained by the predicted premium of participating in a second task with the manager.