In Simple Words
Imagine a mechanic learning to fix engines: giving them an inflated sense of self-confidence makes them brag before touching a wrench, whereas changing their belief about effort makes them quietly pick up the wrench and spend three hours practicing until the engine starts.
Fourth graders in 16 Istanbul schools
- Usual school activities
- Comparison group
- Grit curriculum
- No clear change in self-confidence
Sample B, January 2016: estimate -0.104 standard deviations, statistically uncertain. This does not prove confidence cannot change.
See source →Research question
Educational interventions risk inflating artificial self-confidence without increasing actual effort or perseverance, leading individuals to overrate their baseline abilities without working harder.
Participants
N = 2,856 fourth-grade elementary students completing post-treatment surveys (Sample A: N = 1,675; Sample B: N = 1,181) in Istanbul, Turkey.
Study Design
OLS regression on extracted principal components measuring self-confidence, malleability beliefs, and perseverance traits following randomized treatment.
Results
Treatment produced zero statistically significant impact on self-confidence factors in Sample A (treatment effect = -0.010, p > 0.10) and Sample B (treatment effect = -0.104, p > 0.10), despite significantly increasing malleability beliefs (+0.36 to +0.38 SD, p < 0.01) and perseverance (+0.30 to +0.37 SD, p < 0.01).
Takeaway
Design perseverance curricula that target beliefs about effort productivity rather than attempting to boost general self-esteem or artificial self-confidence.
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 →- Statistically significant
A label used when a result passes a chosen statistical threshold, often p < 0.05. It does not show how large or useful an effect is. A result that is not statistically significant does not prove there is no effect.
ExampleA study reports p = 0.03 against a 0.05 threshold. It passes that test, but the effect could still be too small to matter.
American Statistical Association · Statement on p-values ↗Read more about statistically significant →