What Works Clearinghouse Procedures and Standards Handbook
This is a comprehensive methodological resource offering guidance and recommendations on study design and statistical methods. While primarily designed for education research, it serves as a valuable reference for social science research more broadly.
This website helps researchers run sensitivity analyses to estimate how reliable their findings are by measuring the impact of missing information and potential biases.
A free program that offers advanced approaches to missing data analysis and imputation.
Dr. Lesa Hoffman shares lecture materials and video recordings from her most recent classes. In addition, she provides coding examples for Stata, R, and SAS.
How to QuantCrit – Applying Critical Race Theory to Quantitative Data in Education
An open access book that offers insights and suggested actions ranging from working with existing data sets in more racially just ways to more radically reimagining the entire educational research process.
Michael Clark’s github page is a treasure trove of information on statistical modeling approaches, including examples of R coding.
Skewness Be Gone: Transformative Tricks for Data Scientists
A great summary of different approaches for dealing with skewed data.
The Analysis Factor – Statistical Resources
This website offers a collection of free guides, webinars, and articles to help researchers understand and apply statistical methods in their work. It covers topics such as regression, mixed models, and data analysis techniques, making complex statistical concepts more accessible.
This document provides a concise overview of common statistical symbols used in data analysis, including their meanings and applications. It serves as a quick reference for students and researchers working with statistical formulas and notation.
P-Values: Moving to a World Beyond “p<0.05” (editorial)
A great editorial on what to do and not do when working with p-values.
Statistical Program Resources
Stata
R & RStudio