Listen to this interview, and check out Rhys Jones’ latest book: Statistical Literacy: A Beginner's Guide.

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

Looking back at 2023, find all posts here!
We explored stages of a research project, from concept to publication. In each quarter we focused on one part of the process. In this recap for the year you will find original guest posts, interviews, curated collections of open-access resources, recordings from webinars or roundtable discussions, and instructional resources.

Methods Film Fest!
We can read what they write, but what do researchers say? What are they thinking about, what are they exploring, what insights do they share about methodologies, methods, and approaches? In 2023 Methodspace produced 32 videos, and you can find them all in this post!

Christina Silver explains why and how to use qualitative data analysis software to manage and analyze your notes, literature, materials, and data. Sign up for her upcoming (free) symposium!

Use research cases as the basis for individual or team activities that build skills.

How do you find gems in a research project when the data is too thin for generalizations? In this post researchers discuss creative ways to learn from (and write about) the experience.

The focus for Q3 of 2023 was on analyzing and interpreting qualitative and quantitative data. Find all the posts, interviews, and resources here!

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.

Instructional tips for teaching quantitative data analysis.

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

Learn how inductive and deductive styles of reasoning are used to interpret qualitative research findings.

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.

Video capture is ubiquitous. What does it mean for researchers, and how can we analyze such data?

Qualitative data analysis varies by methodology. Learn about approaches for phenomenological studies through this collection of open access articles.