Resources

Find below a number of lists of useful resources covering research methods (in general) and specific to Computational Social Sciences and Cyberpsychology; programming in R; data science; media effects and other related areas.

• Research Methods and Tools
  • Blogs
  • Books
  • Useful Papers
    • Statistics Fundamentals
    • Open Science
    • Replication
    • Qualitative Methods and Reporting
    • Quantitative Methods and Reporting
    • Literature Synthesis and Reporting
    • General Research Methodology
  • Courses
    • MOOCs
    • Open Courses
• R Programming Resources
• Interesting Blog Posts

Research Methods and Tools

Blogs

• The 20% Statistician - A blog on statistics, methods, and open science.
• Simply Statistics - a blog on data science, analysis, and statistics

Books

• Bit by Bit : Social Research in the Digital Age - Matthew Salganik (Open Book)
• Data Visualisation: A practical introduction - Kieran Healy (Open Book)
• Fundamentals of Data Visualisation: A primer on making informative and compelling figures - Claus Wilke (Open Book)

Useful Papers

Statistics Fundamentals

• Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Frontiers in psychology, 4.
• Lakens, D., Scheel, A.M., Isager, P.M. (2018) Equivalence Testing for Psychological Research: A Tutorial. Advances in Methods and Practices in Psychological Science, 1-11.
• Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., & Altman, D. G. (2016). Statistical tests, p values, confidence intervals, and power: a guide to misinterpretations. European journal of epidemiology, 31, 337–350.
• De Groot, A. D. (1956/2014). The meaning of “significance” for different types of research. Translated and annotated by Eric-Jan Wagenmakers, Denny Borsboom, Josine Verhagen, Rogier Kievit, Marjan Bakker, Angelique Cramer, Dora Matzke, Don Mellenbergh, and Han L. J. van der Maas. Acta Psychologica, 148 , 188–194.
• Kass, R. E., Caffo, B. S., Davidian, M., Meng, X. L., Yu, B., & Reid, N. (2016). Ten Simple Rules for Effective Statistical Practice. PLOS Comput Biol, 12(6), e1004961.

Open Science

• Gilmore, R. O., Kennedy, J. L., & Adolph, K. E. (2018). Practical solutions for sharing data and materials from psychological research. Advances in Methods and Practices in Psychological Science, 1(1), 121-130
• van’t Veer, A. E., & Giner-Sorolla, R. (2016). Pre-registration in social psychology—A discussion and suggested template. Journal of Experimental Social Psychology, 67, 2- 12.

Replication

• Brandt, M. J., IJzerman, H., Dijksterhuis, A., Farach, F. J., Geller, J., Giner-Sorolla, R., … & van’t Veer, A. (2014). The replication recipe: What makes for a convincing replication? Journal of Experimental Social Psychology, 50, 217–224.

Qualitative Methods and Reporting

• Guest, G., Namey, E., & McKenna, K. (2016). How Many Focus Groups Are Enough? Building an Evidence Base for Nonprobability Sample Sizes. Field Methods, 29(1).
• Twining, P., Heller, R. S., Nussbaum, M., & Tsai, C. C. (2017). Some guidance on conducting and reporting qualitative studies. Computers & Education, 106

Quantitative Methods and Reporting

• Lopez, X., Valenzuela, J., Nussbaum, M., Tsai, C-C (2015). Some recommendations for the reporting of quantitative studies, Computers & Education, 91

Literature Synthesis and Reporting

• Templier, M., & Paré, G. (2018). Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals. European Journal of Information Systems, 27(5).

General Research Methodology

• Wagenmakers, E.-J., Wetzels, R., Borsboom, D., J., H. L., & Kievit, R. A. (2012). An Agenda for Purely Confirmatory Research. Perspectives on Psychological Science, 7(6).

Courses

MOOCs

• Improving your statistical inferences (Coursera- Daniel Lakens)
• Explore Statistics with R (EdX)

Open Courses

• Computational Social Science (Princeton University- Matthew Salganik)

R Programming Resources

First port of call: How do I…

• Top 50 ggplot2 Visualizations - 50 ggplot2 examples with full code

• The R Graph Gallery - A gallery of useful figures produced with R

• Hands on Programming with R - A good first resource for learning R fundamentals
• The Art of R Programming - It’s a good resource for systematically learning fundamentals such as types of objects, control statements, variable scope, classes and debugging in R.
• R Cookbook - A quick and simple introduction to conducting many common statistical tasks with R.
• Exploratory Data Analysis with R - Basic analytical skills for all sorts of data in R.
• R Programming for Data Science - More advanced data analysis that relies on R programming.
• Report Writing for Data Science in R - R-based methods for reproducible research and report generation.
• R for Data Science - Free book from RStudio developers with emphasis on data science workflow.
• OpenIntro Statistics - A free online open introduction to statistics book
• The tidyverse style guide - a great how to on the tidyverse
• Answering Questions with data: Introductory statistics - open statistics textbook
• Learning Statistics with R - open statistics textbook (with datasets)
• An introduction to data cleaning with R - great overview on the processes of cleaning datasets with R

Interesting Blog Posts

If the list becomes unwieldy I’ll consider adding sections.

• A visual introduction to machine learning
• It’s the Effect Size, Stupid: What effect size is and why it is important
• Have smartphones really destroyed a generation? We don’t know
• 5 years into academia – 45 things I’ve learned so far …
• SQL one of the most valuable skills
• Data science is different now
• Data Science Foundations: Know your data. Really, really, know it
• How the BBC Visual and Data Journalism team works with graphics in R
• Wikipedia Data Scraping with R: rvest in Action
• Open letter to journal editors: dynamite plots must die
• Reproducible Research in Computational Sciences
• What is statistical power? An illustration using simulated data
• The Two Friends Who Changed How We Think About How We Think