Learn about options available in the dynamic landscape of emerging methodological extensions in the PLS-SEM field is the necessary condition analysis (NCA).

Find tips to help you share your research and numerical findings.

Dr. Stephen Gorard defines and explains randomness in a research context.

Mentor in Residence Stephen Gorard explains how researchers can think about predicting results.

The Career and Technical Education (CTE) Equity Framework approach draws high-level insights from this body of work to inform equity in data analysis that can apply to groups of people who may face systemic barriers to CTE participation. Learn more in this two-part post!

The Career and Technical Education (CTE) Equity Framework approach draws high-level insights from this body of work to inform equity in data analysis that can apply to groups of people who may face systemic barriers to CTE participation. This is part 2, find the link to part 1 and previous posts about the Equity Framework.

In an era of rampant misinformation and disinformation, what research can you trust? Dr. Stephen Gorard offers guidance!

Images contain information absent in text, and this extra information presents opportunities and challenges. It is an opportunity because one image can document variables with which text sources (newspaper articles, speeches or legislative documents) struggle or on datasets too large to feasibly code manually. Learn how to overcome the challenges.

Tips for dealing with missing data from Dr. Stephen Gorard, author of How to Make Sense of Statistics.

Learn more about standard deviation from a paper and presentation from Dr. Stephen Gorard.

This collection of open-access articles includes quantitative examples of analysis for video data.

Whether you call it ‘content analysis’, ‘textual data labeling’, ‘hand-coding’, or ‘tagging’, a lot more researchers and data science teams are starting up annotation projects these days. Learn how to avoid potential pitfalls.

Listen to Dr. Stephen Gorard discuss his no-nonsense approach to statistics.

Want to learn more about research with datasets? This curated collection of open-access articles can help you understand defining characteristics, and develop data literacy skills needed to work with large datasets and machine learning tools for managing Big Data sources.

Professor Julie Scott Jones discusses lessons learned from teaching quantitative research methods online.

 After 20 years of teaching research and quantitative methods to students in Political Science in the US, UK, and the EU, Dr. Loveless has developed a teaching method that has resulted in greater student success in statistics in each passing year

Mentor in Residence Stephen Gorard explains how to use population data.

Find open-access instructional materials and articles about teaching how to use regression analysis methods.

Dr. Ann Sloan Devlin, author of The Research Experience, discusses first steps in data analysis for quantitative studies.

Want to use R for statistical analysis? These open-access resources might help!