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week 10 - open research in computational modelling Flashcards

(14 cards)

1
Q

What is the replication crisis?
What came of this crisis?

A

-psychological research had issues of academic misconduct -> less replicability in results
-open research

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2
Q

Who was Diederik Stapel?

A

-psychologist that published 58 fraudulent articles with fabricated data and false positives - later retracted

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3
Q

What are things which cause issues of credibility in psychological research?

A

-large number of EVs for a small N -> false positives
-lack pf reproducibility
-lack of replicability
-not being aware of negative impact of DOF
-publication bias
-questionable research practices QRPs

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4
Q

What are DOFs?
What are the different DOFs which negatively impact credibility of experiment?

A

=different ways researchers are flexible in their experiments
-deciding when to stop collecting data -> after you get the desired result
-excluding/including participants post hoc (when experiments have finished)
-trying different statistical models/covariates until results are significant (phacking)
-changing hypothesis after data analysis
-only reporting significant results

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5
Q

How does Bayesian Truth Serum work?
How is it carried out?

A

Incentivizing truthfulness: by rewarding respondents who predict the majority opinion correctly or provide answers that deviate in a way that aligns with likely truths -> more likely to admit that they did something wrong themselves (when asked self-admission Qs)

by asking indirect question about interviewer’s eg colleagues

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6
Q

Why did John et al. 2012 use BTS?

A

encourages honest answers in environments where self-reporting could be biased by social desirability or personal interests

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7
Q

What did John et al. 2012 discover about falsifying data in psychological research?

A

-the impact of truth-telling incentives BTS on self-admissions of questionable research practices was positive, and this impact was greater for practices that respondents judged to be less defensible.
-combining three different estimation methods, we found that the percentage of respondents who have engaged in questionable practices was surprisingly high

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8
Q

What did The Turing Way Community claim were ‘good’ research practice requirements?

A

needs to be
Reproducible: same analysis of same data should give same answers
Replicable: same analysis, different data -> same answers
Robust: different analysis, same data -> same answers
Generalisable: different analysis, different data -> same answers

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9
Q

What are the principles of open research?

A

preregistration of hypothesis before starting experiment
- open materials and methods
-open research data
-open sources software
-open source code
-open access publications

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10
Q

Why make your work reproducible? for personal reasons

A

-aids writing papers
-helps reviewers see it from your perspective
-allows continuity of your work
-helps build your rep as a researcher

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11
Q

What are the some good practices when researching with cognitive modelling?
Why is each of them useful?

A

-Keep a model logbook -> to avoid forgetting what you did earlier and to keep a track of changes
-do parameter recovery studies -> assesses goodness of model fit
-do robustness and generalisation (sensitivity) studies -> ensures model is not overfit
-Quantify uncertainty in parameter estimates -> improves model transparency
-Share model code, data, and simulation scripts ->improves reproducibility

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12
Q

What is the aim of open research?

A

that research is robust, reproducible, replicable and generalisable

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13
Q

What are soem examples where open research practice are not always good for cognitive modelling experiments?

A

-if you have an exploratory approach to modelling -> you can state hypothesis is exploratory and that it will change
-preregistration is not a substitute for good judgement -> deviate where needed but log deviations transparently
-modelling is an iterative process and requires exploration

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14
Q

What are some good practices when sharing your code?

A

-follow coding conventions
-give variables and functions sensible names
-put concise and useful comments
-track simulation outputs with notebooks (Juypter)
-add ‘readme’ file to explain how to run code

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