In Simple Words
Imagine standing in front of two arcade games: one pays out 1 ticket every single time, while the other pays out 4 tickets but requires timing a button press. If players underestimate their own timing ability, they waste hours on the 1-ticket machine even though practicing for 5 minutes on the 4-ticket machine yields far more total tickets.
Fourth graders in 16 Istanbul schools
- Usual school activities
- Comparison group
- Grit curriculum
- More chose the predicted best-paying task
Sample B, first visit: a 14.1 percentage point increase. Choices were judged by predicted success; not a measure of the highest realized reward.
See source →Research question
Individuals choosing between easy low-reward options and challenging high-reward options frequently make sub-optimal decisions due to poorly calibrated beliefs regarding their own success probabilities and effort efficiency.
Participants
N = 2,894 fourth-grade students across two field cohorts in Istanbul, Turkey (Sample A: N = 1,704 Visit 1, N = 1,578 Visit 2; Sample B: N = 1,190 Visit 1, N = 1,129 Visit 2).
Study Design
Empirical distribution logit modeling predicting individual success probabilities based on baseline traits, comparing actual choice against expected payoff-maximizing choice across two field visits.
Results
Treated students were 14.1 percentage points more likely in Sample B during Visit 1 (p < 0.01) and 9.1 to 9.6 percentage points more likely across both samples during Visit 2 (p < 0.05) to select the task difficulty that maximized expected material payoffs.
Takeaway
Calculate expected success probabilities based on historical baseline metrics before task selection to ensure participants choose difficulty levels that maximize total expected yield.
Source and citation
See source →Read alongside the research
Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Baseline
The starting measurements in a study. Researchers use these to compare what participants were like at the start with what happens later.
ExampleBefore a training programme starts, researchers measure workers’ earnings. That first measurement is the baseline.
GET-IT glossary · Baseline characteristics ↗Read more about baseline →- Percentage points
The difference between two percentages.
ExampleA rise from 40% to 50% is 10 percentage points. Relative to the starting value, that is a 25% increase.
Office for National Statistics · Percentages ↗Read more about percentage points →