I conduct an online study to determine whether rewards reduce procrastination. All participants are asked to complete a task sometime before a deadline (10 days from now). The computer ra one of three groups, and emails them their instructions; one group receives a reward as soon as they do the task (contingent reward); a second group receives rewards as soon as they finish th deadline (non-contingent reward) and the third group does not receive rewards at all (no reward). Three participants in the no reward condition do not complete the task, and so are dropped f variable is the amount of time (in days) it takes participants to complete the task. The JAMOVI output is attached.
I conduct an online study to determine whether rewards reduce procrastination. All participants are asked to complete a task sometime before a deadline (10 days from now). The computer ra one of three groups, and emails them their instructions; one group receives a reward as soon as they do the task (contingent reward); a second group receives rewards as soon as they finish th deadline (non-contingent reward) and the third group does not receive rewards at all (no reward). Three participants in the no reward condition do not complete the task, and so are dropped f variable is the amount of time (in days) it takes participants to complete the task. The JAMOVI output is attached.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:I conduct an online study to determine whether rewards reduce procrastination. All participants are asked to complete a task sometime before a deadline (10 days from now). The computer randomly assigns participants to
one of three groups, and emails them their instructions; one group receives a reward as soon as they do the task (contingent reward); a second group receives rewards as soon as they finish the task as long as it is before the
deadline (non-contingent reward) and the third group does not receive rewards at all (no reward). Three participants in the no reward condition do not complete the task, and so are dropped from analyses. The dependent
variable is the amount of time (in days) it takes participants to complete the task. The JAMOVI output is attached.
Post-hoc Tukey tests show that... (select all that apply)
ANOVA
ANOVA - Time
Reward
Residuals
Assumption Checks
Homogeneity of Variances Test (Levene's)
F
df1
df2
0.056
Statistic
0.964
Sum of Squares df Mean Square F
34.426 6.567
68.852 2
125.814 24
5.242
Normality Test (Shapiro-Wilk)
Р
2
Post Hoc Tests
Reward
Contingent
24
Post Hoc Comparisons - Reward
Comparison
Non-contingent
0.444
Р
0.945
Reward
Non-contingent
No reward
No reward
Р
n'p
0.005 0.354
Ptukey
0.004
0.164
-3.700 1.024 24.000 -3.613
-2.129 1.128 24.000 -1.886
1.571 1.128 24.000 1.393 0.360
Mean Difference SE
Note. Comparisons are based on estimated marginal means
df
t

Transcribed Image Text:Estimated Marginal Means
Reward
Time
10.0
7.5
5.0
2.5
..
Reward
Contingent
Non-contingent
No reward
Estimated Marginal Means - Reward
:
Contingent Non-contingent No reward
Reward
Mean SE
4.300 0.724
8.000 0.724
6.429 0.865
14:
95% Confidence Interval
Lower
Upper
2.806
6.506
4.643
5.794
9.494
8.215
☐a. People complete the task faster with Contingent Reward than with Non-Contingent Reward
b. People complete the task faster with Non-Contingent Reward than with no Reward
O c. People complete the task faster with Contingent Reward than with no Reward
d. People complete the task faster with Non-Contingent Reward than with Contingent Reward
Expert Solution

Step 1
Given information:
The JAMOVI output for ANOVA and Post Hoc Tests is given.
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Solved in 2 steps
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