Ch 14 Flashcards
Replicable
the same results have actually been reproduced
- Not that the study could be replicated, but that the result of the study has been repeated
types of replication studies
- Direct replication
- Conceptual replication
- Replication-plus-extension
Direct replication (Exact replication) + risks
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
Conceptual replication:
same research question, different procedures- conceptual variables are the same, but the variables are operationalized differently
Replication-plus-extension
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
Replication Crisis
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)
Why might replication studies fail?
- Contextually sensitive effects:
- Number of replication attempts:
- problems with original study
(why might fail) Contextually sensitive effects:
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
(why might fail) Number of replication attempts:
- 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%)
(why might fail) problems with original study
Sample size-
- too small, extreme participants could’ve had disproportionate influence on means and pattern
Harking
P-hacking
Harking
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)
P-hacking
- 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
improvements to scientific practice
- Larger sample sizes: Journals now require much larger samples for both original and replication studies
- Report all analyses and variables
- Open Science
- preregistration
open science
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
preregistration
Preregister study’s method, hypotheses, or statistical analyses online, before collecting data
- Discourages p-hacking