QUANTitative Analysis & Statistics

These huge resources are wonderful for thesis-level researchers to browse or search to learn how more experienced researchers approach topics as well as get assistance with many practical issues. For more on analyses covered introductory statistics classes, see the other pages on this guide.

UCLA Statistical Consulting

Long-standing favorite with tons of resources focused on software, both new and old, mostly lengthy text-based articles but also a YouTube Channel. Can be hard to follow for less-experienced researchers.

• Specific content for R, Stata, SAS, Mplus, and SPSS (Syntax only)
• Annotated Output, Data Analysis Examples, Workshop Notes

Analysis Factor

Consulting service by a social scientist (now with various others) having a long-standing and active blog. Focused on the practical aspects and tips for basic and advanced analysis (e.g., mixed models), only some software-focused. Offers paid services and workshops (e.g., statistically speaking trainings), but many free high-quality resources (e.g., the blog).

• Many tips on workflow such as Strategies for Choosing and Planning a Statistical Analysis, The Steps for Running Any Statistical Model,and 5 Practical Issues to Consider in Choosing a Statistical Analysis, and 9 Strategies for Keeping Track of your Analyses and Output

SAGE Research Methods

The library subscribes to this database which includes many books and other resources published by SAGE. It includes a wide variety of topics and can be searched and filtered.

• Little Green Books / Quantiative Applications in the Social Sciences - A large collection of shorter, targeted manuals.

GraphPad

The company behind the statistical software Prism provides lots of well-written and practical information about tasks and analyses commonly used by laboratory and clinical researchers--but especially non-linear regression, a strength of its software. Everything is explained well in plain language.

• Browse their Principles of Statistics and Principles of Regression or Ultimate Guides to: T Tests, ANOVA, Linear Regression, and Survival Analysis
• Search the Knowledgebase to find keywords in those plus additional FAQs, some of which include videos.

Others to check out

These materials from experience researchers, some created years ago, are on sites with many old and/or broken links. But they contain gems on some topics that may not be found elsewhere.

• Karl L. Wuensch - Downloadable tutorials of varying length on graduate-level topics in Psychology. To fix most links, take out "psych/" from the URL Searching is best, but here are direct/correct links to: Statistics Lessons, Statistical Help, SAS Lessons, SPSS lessons (using search), and Research Design

• Jason T. Newsom - Gives examples in SPSS and R. See  his old Stats Notes plus handouts and slides for current courses including: Univariate Quantitative Methods, Multiple Regression and Multivariate Quantitative Methods, Categorical Data Analysis, Structural Equation Modeling (also Mplus and lavaan), Multilevel Regression (also HLM) and Measurement.

Still need help? Ask the Community

These are also great sources to search for others who have the same issues. Definitely read some questions and answers before posting yourself to understand what details you need to include. It takes time to ask a good question that will receive a good answer.

General Statistics

• How to ask a "good" question on CrossValidated?

• Cross Validated - Q&A for Statistics
• Reddit / AskStatistics - Not for homework help.

Software-Focused

• How do I ask a good question?
• How to create a Minimal, Reproducible Example

• Stack Overflow - For programmers, has tags for each software
• Stata: StataList
• SAS: SAS Support Community
• R or Python: Data Science Learning Community Slack group
• R: Posit Community - RStudio, tidyverse, Shiny, and Quarto/RMarkdown