Ch 14 Flashcards

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1
Q

Replicable

A

the same results have actually been reproduced
- Not that the study could be replicated, but that the result of the study has been repeated

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2
Q

types of replication studies

A
  • Direct replication
  • Conceptual replication
  • Replication-plus-extension
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3
Q

Direct replication (Exact replication) + risks

A

original study is repeated as closely as possible to determine if the original effect is found in the new data

  • Risk of having the same threats to internal validity or construct validity in the original study - other types address this
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4
Q

Conceptual replication:

A

same research question, different procedures- conceptual variables are the same, but the variables are operationalized differently

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5
Q

Replication-plus-extension

A

Replication-plus-extension: researchers replicate their original experiment and add variables to test additional questions or to better understand the scope of the original effect

  • Could add an additional level to an IV
  • or add an additional IV
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6
Q

Replication Crisis

A

Journals prefer to publish new research, no incentive to do direct replication studies

  • Open Science Collaboration decided to attempt replication on larger scale, (39% was lowest rate)
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7
Q

Why might replication studies fail?

A
  • Contextually sensitive effects:
  • Number of replication attempts:
  • problems with original study
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8
Q

(why might fail) Contextually sensitive effects:

A

Contextually sensitive effects:
- Measures and manipulations used in replications might not have same meanings as in original study- too sensitive, if replication context is different might fail

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9
Q

(why might fail) Number of replication attempts:

A
  • One replication- any single study has the potential to miss a true finding
  • Many Labs Project- did up to 36 replications of each study + combined them (replication rate rose to 85%)
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10
Q

(why might fail) problems with original study

A

Sample size-
- too small, extreme participants could’ve had disproportionate influence on means and pattern

Harking

P-hacking

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11
Q

Harking

A

Hypothesizing after the results are known - usually due to a surprising result.
more likely due to chance, can’t be replicated (Type I errors more likely)

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12
Q

P-hacking

A
  • Researcher peaks at study’s results, if not significant may run a few more individuals, remove outliers, or run different type of analysis
  • Called p-hacking because trying to get statistically significant reading- p of under .05
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13
Q

improvements to scientific practice

A
  • Larger sample sizes: Journals now require much larger samples for both original and replication studies
  • Report all analyses and variables
  • Open Science
  • preregistration
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14
Q

open science

A

Sharing ones data and materials freely so others can collaborate, use, and verify results

Open data- provides full data set so researchers can conduct new analyses on it, or reproduce results

Open materials- provides full set of measures and manipulations (ALL variables) so others can replicate study

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15
Q

preregistration

A

Preregister study’s method, hypotheses, or statistical analyses online, before collecting data

  • Discourages p-hacking
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16
Q

meta-analysis

A

statistical analysis that gives a quantitative summary of a scientific literature

  • Averages the results of all the different studies
17
Q

Scientific literature

A

Series of related studies conducted by different researchers who have tested similar variables

  • A review article collects all the literature on a topic and reviews them together
18
Q

File drawer problem

A

since journals don’t publish null effects or opposite effects as often, a meta-analysis of published studies may overstate the size of an overall effect

  • To counteract, researchers conducting meta-analyses should ask their colleagues for published and unpublished data
19
Q

probablility sample vs. convenience sample

A

A probability sample is intended to generalize to the population it was drawn from, but convenience sample may not generalize to the intended population

20
Q

external validity- what’s important?

A

External validity comes from how not how many- how obtained is more important

Just because a sample comes from a population doesn’t mean it generalizes to that population

21
Q

how can we see if a study generalizes to other settings?

A

Conceptual replication can show if a study generalizes to other settings

22
Q

Ecological validity(mundane realism)

A

aspect of external validity that asks if a study conducted in a lab generalizes to real-world settings

23
Q

Theory-testing mode:

A

typically used to test association or causal claims, to investigate support for a particular theory

  • In theory testing mode, internal validity is more important than external validity
24
Q

Generalization mode:

A

where researchers want to generalize the findings of a previous study

  • Important to use probability samples w/ diversity
  • Applied research tends to be done in generalization mode
25
Q

what mode are frequency claims done in?

A

generalization mode

26
Q

what mode are association and causal claims done in?

A

Usually in theory testing mode, sometimes generalization

  • Might first try it in theory testing mode, then shift into generalization mode
27
Q

Cultural Psychology:

A

type of psychology that focuses on cultural contexts and how they shape thoughts, emotions, and behavior

  • Work in generalization mode, challenge researchers who don’t consider context and only work in theory-testing mode
28
Q

WEIRD

A

Western, Educated, Industrialized, Rich, and Democratic

WEIRD samples aren’t representative

29
Q

field setting

A

When a study takes place in the real world, it occurs in a field setting and has high external validity

30
Q

ecological validity

A

how similar a study’s manipulations or tasks are to situations participants might encounter in their lives

  • field settings have high ecological validity
  • important to consider in terms of generalizing to non-lab settings
31
Q

Experimental realism:

A

when lab experiments create situations in which people experience actual emotions, motivations, and behaviors

Laboratory research can be just as realistic as studies in the real world