Self-Control and the Nature of Science Flashcards

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1
Q

benefits of self-control according to marshmallow study

A
  • 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
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2
Q

benefits of self-control according to other research

A

Self-control appears to be perhaps the best predictor of university grades (better than IQ or standardized test scores)

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3
Q

why self-control is hard

A
  • 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
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4
Q

self-control strategies

A
  • 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)
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5
Q

self-control as muscle

A

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)

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6
Q

ego-depletion

A
  • 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
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7
Q

replicability crisis

A
  • 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)
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8
Q

p-hacking

A

analyzing the same dataset a bunch of ways and only disclosing the significant results

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9
Q

what to watch out for when reading articles (potential indicators of p-hacking)

A
  • Small samples (ie. <20 people per condition)
  • P values close to .05 (ex. .04)
  • Random covariates (ie. Controlling for age)
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10
Q

False-Positive study (Simmons): what did they do?

A
  • 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
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11
Q

False-Positive study (Simmons): what do they recommend to reduce problem?

A
  • 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
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12
Q

False-Positive study (Simmons): what do they NOT recommend to solve the problem?

A
  • changing alpha levels
  • using Bayesian statistics
  • doing conceptual replications
  • posting all materials and data
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13
Q

what is the culprit of false positives?

A
  • 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
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