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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.

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.CR: Chapter 12 Review
Problem 110CR
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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: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
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
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
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