Reproducibility in Research

Why is it important to make clear how results are achieved in data analysis?

To hide mistakes in the data analysis process

To prevent others from understanding the analysis

To ensure transparency and allow challenges to incorrect analysis (correct)

To make it easier to reproduce incorrect results

What may happen if activities involved in reproducibility only occur at the end of an analysis?

It speeds up the analysis process

It ensures that all resources are allocated efficiently

It allows for real-time challenges to be addressed

It is too late for resulting challenges to be dealt with (correct)

Which of the following is a potential consequence of assuming an incorrect distribution in data analysis?

Results will always be reproducible

Results may be correct regardless

Results will never be achieved

Results may be wrong even if they can be reproduced (correct)

What is one potential issue if resources have been moved on to other projects before challenges to the data analysis are addressed?

Challenges to the analysis may not be appropriately dealt with Signup and view all the answers

What may occur if incorrect assumptions about distributions are made in data analysis?

Results may be wrong even if they can be reproduced Signup and view all the answers

How does ensuring transparency in the data analysis process impact the challenge of incorrect analysis?

Allows for appropriate challenges to be made Signup and view all the answers

What is required for reproducibility according to the text?

Original data and computer code Signup and view all the answers

Which programming tool in the R environment allows for achieving full documented code?

R-markdown Signup and view all the answers

What is literate statistical programming according to Knuth, 1992?

Programming with detailed explanations Signup and view all the answers

What does full documentation for reproducibility include?

Explanation of each data variable and documented code Signup and view all the answers

What is the key difference between validating results through replication and validation through reproduction as per the text?

Reproducing based on same data set Signup and view all the answers

Which tool is recommended in the text for producing documents with code explanations?

R-markdown Signup and view all the answers

Why is it important to set the random seed in replication when randomness is present in statistical or machine learning techniques?

To ensure that the results can be reproduced consistently Signup and view all the answers

What does setting the random seed accomplish in simulation studies?

Allows for comparison between different simulations using the same series of pseudo-random numbers Signup and view all the answers

How can 'doing things by hand' potentially affect reproducing work in data analysis?

Leads to problems in reproducing the work Signup and view all the answers

In a simulation study, why does each simulation need to be based on a series of pseudo-random numbers?

To allow for comparison between different simulations Signup and view all the answers

What is the purpose of setting the random seed in statistical or machine learning techniques involving randomness?

To ensure that results can be replicated consistently Signup and view all the answers

Why is it necessary for two simulations to be based on the same series of pseudo-random numbers to obtain identical results?

To ensure that the results are consistent and replicable Signup and view all the answers