Guest Lecture: Replication Crisis Flashcards

1
Q

reproducibility project in psychology

A

Massive, multi-lab project that randomly selected articles that were published in 2008 in 3 top psychology journals

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2
Q

when did the reproducibility project occur

A

november 2011-2015

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3
Q

findings of the reproducibility

A

97% of original studies had significant results (P< 0.05), but only 36% of replications had significant results. 39% of effects were subjectively rated to have replicated

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4
Q

what famous studies failed to replicate?

A

Ego depletion (willpower is a limited resource), power posing (expect self-reported mood), and precognition (psi)

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5
Q

what causes failures to replicate

A

fraud, file-drawering, innocent errors, p-hacking

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6
Q

Diederik Stapel

A

fabricated 58 papers going back to at least 2004

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7
Q

p-hacking

A

Run at least one unplanned analysis that you might report as though its p-value is valid

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8
Q

false positivity

A

When we falsely reject the null

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9
Q

what is the false positivity rate in psychology

A

5%

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10
Q

common ways of p hacking

A
  • Stop data collection if and only if p < .05
  • Analyze many measures; report only those that were p < .05.
  • Analyze many conditions; report only those that differed at p < .05.
  • Use different (combinations of) covariates to try to get p < .05.
  • Exclude participants or trials to try to get p < .05.
  • Analyze different subgroups to get p < .05.
    Transform the data to try to get p < .05
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11
Q

Choose between two dependent variables correlated at .5 results in

A

9% false-positive rate

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12
Q

Collect 20 observations per cell. If not significant, run 10 more per cell results in

A

14% false-positive rate

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13
Q

Analyze the data using gender and (gender x independent variable) covariates results in

A

31% false-positive rate

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14
Q

Collect 3 conditions. Allow yourself to drop a condition if not significant results in

A

60% false-positive rate

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15
Q

Run two studies. Drop one if it isn’t significant results in

A

84% false-positive rate

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16
Q

three possible solutions to p-hacking

A

disclosure, pre-registration, and exact replication

17
Q

disclosure

A

Authors must report all measures, manipulations, data exclusions, and how they arrived at their sample size
Helpful but not a complete solution; it hinges on reviewers’ educated guesses about what analyses were attempted.

18
Q

pre-registation

A
  • An analysis plan you make in advance for conducting the study and upload to a public repository
  • A more complete solution
  • Slightly higher cost to researchers
19
Q

exact replication

A
  • The best way to establish that a finding is replicable
  • most high effort and high cost solution
20
Q

open science network

A

Online platform for sharing data, materials, and pre registrations