This 25-minute video introduces the concepts of transparent and reproducible social research. The focus of this video is social science research that employs statistical techniques to analyse observational data (e.g. social surveys). Many of the issues associated with undertaking transparent and reproducible data analysis pervade other forms of social science research (e.g. qualitative data analysis), despite the different nature of the data and the analytical techniques that are used.

1. Reproducible Social Research
Professor Vernon Gayle
vernon.gayle@ed.ac.uk
@Profbigvern
https://github.com/vernongayle
© V. Gayle

6. Traditional Publication Additional Material

7. The Problem

10. https://www.alfadispenser.com/2018/05/30/repeatability-vs-reproducibility-a-little-talk/

11. The Case for Greater
Transparency

12. Greater transparency will
1. Increase the capacity to understand how the research was
conducted
2. Help other scholars evaluate the analyses undertaken
3. Aid the detection of errors and inconsistencies
4. Facilitate the incremental development of work
5. Contribute to limiting negative research practices
6. Provide extra safeguards against nefarious practices
7. Improve confidence in results within and beyond the academic
community

13. Duplication and
Replication

14. A replication study extends the original work with
1. additional measures
2. alternative measures
3. new data
4. different statistical analytical techniques
or any combination of these four components

15. Data Sharing
and
Citing Data

16. https://en.wikipedia.org/wiki/FAIR_data#/media/File:FAIR_data_principles.jpg

18. The Workflow
and
Code Sharing

20. Drop down menus = no audit trail
GUIs will leave you in a sticky mess!

21. get stata file = 'd:datadata13.dta'.get stata file = 'd:datadata13.dta'.

25. Documenting the Workflow

27. get stata file = 'd:datadata13.dta'.

31. Making the Workflow Public

32. Current Good Practice

35. Data Download
Data
Wrangling
Exploratory
Data Analysis
Statistical
Modelling
Write-Up
Results
Stata

37. Conclusions

38. © DYN3D/ISTOCKPHOTO.COM

39. Royalty-free stock photo ID: 223869256

40. Raw Data Data
Wrangling
Exploratory
Data Analysis
Statistical
Modelling
Published
Results
Analytical
Data
Unpublished
Results

41. Image https://qph.fs.quoracdn.net/main-qimg-88ae2063a1267ea7de76968a488dd723

42. Image: https://i0.wp.com/www.bayesianspectacles.org/wp-content/uploads/2018/01/TexasSharpShooter.png?zoom=2&fit=357%2C300&ssl=1

44. Conclusion

46. How to cite this video
Gayle, V. (2020) Reproducible Data Analysis. Available at: https://www.ncrm.ac.uk
(Accessed: day month year)

47. Reproducible Data Analysis
Professor Vernon Gayle
vernon.gayle@ed.ac.uk
@Profbigvern
https://github.com/vernongayle
© V. Gayle