Self-Control and the Nature of Science Flashcards
benefits of self-control according to marshmallow study
- 4-year-olds who delay gratification for longer have better outcomes 10+ years later:
- More socially skilled (parent’s ratings)
- Better in school (parent’s ratings)
- Higher SAT scores
benefits of self-control according to other research
Self-control appears to be perhaps the best predictor of university grades (better than IQ or standardized test scores)
why self-control is hard
- Present looms large, future is a distant consequence that almost seems like it’ll affect someone else
- We are heavily influenced by what’s in the present
- We perceive our “future selves” almost like a different person
self-control strategies
- Bringing distant rewards/costs into the present (ex. Wearing tight jeans to potato chip eating contest)
- Distance self from current temptation (ex. Kids covering their eyes so they won’t see marshmallow)
self-control as muscle
You can exhaust it -> if you’ve just used a lot of it, it might be hard to use more of it (ex. If you’ve just resisted eating cookies, it may be hard to use self-control to force yourself to work on a difficult puzzle)
ego-depletion
- coincides with the “self-control as a muscle” perspective
- doing one task that requires self-control impairs performance on a subsequent task that also requires self-control
- However, not all studies showing ego depletion could replicate, and in a giant replication using 20+ labs, no effect was found
replicability crisis
- well-known effects don’t seem to hold up to large-scale replications
- This is an issue for all of science, not just psychology
- How did we get here?
- Publication bias
- Small samples
- Norms are rapidly changing to try to prevent this (ie. Larger samples, pre-registration)
p-hacking
analyzing the same dataset a bunch of ways and only disclosing the significant results
what to watch out for when reading articles (potential indicators of p-hacking)
- Small samples (ie. <20 people per condition)
- P values close to .05 (ex. .04)
- Random covariates (ie. Controlling for age)
False-Positive study (Simmons): what did they do?
- had people listen to music to see if it changed their age (deliberately impossible study)
- controlled for random measures
- used researcher degrees of freedom to find a false positive result, demonstrating how easy it is
- put forth recommendations to avoid this problem
False-Positive study (Simmons): what do they recommend to reduce problem?
- decide when to terminate data collection before study begins (and report this)
- use at least 20 observations
- list all variables collected in a study
- report all experimental conditions, including failed manipulations
- report results of any eliminated measures had they been included
- if analysis includes covariates, authors must also report results of analysis without covariates
False-Positive study (Simmons): what do they NOT recommend to solve the problem?
- changing alpha levels
- using Bayesian statistics
- doing conceptual replications
- posting all materials and data
what is the culprit of false positives?
- researcher degrees of freedom (the decisions researchers make when conducting a study)
- often self-serving, especially in ambiguous cases (ie. what are the outliers in this study?
- Likely feel that the best decisions would be ones that end up leading to significance