Statistics Resources
Start with the question you are actually asking. Work down to a named test, then to how to run it in your software.
1What data?
Design and data questions – before you pick a test.
1.1 Collecting your own data 11
Sampling frame and sampling strategy 3
- Maths Support: Sampling methods (sampling frame)
Library-curated collection on sampling methods
LibGuide - Sampling – Introduction, Population Definition, and Sampling Frames
Covers population definition and sampling frame together.
Video - Sample, Sampling Unit and Sampling Frame
Distinguishes the three terms with simple examples.
Video
Different types of sampling 3
- Maths Support: Sampling methods
Library-curated collection on sampling methods
LibGuide - What is sampling in research: Sampling Methods, Types and Techniques Explained
Overview of sampling method types.
Video - Sampling Frame: Meaning, Example and Use in Research
Real-life examples.
Video
Using research panels such as Prolific 1
- Prolific
Research participant panel
Tool
Data collection strategy (in person, online) 1
- Maths Support: Collecting data
Library-curated collection on how to collect data
LibGuide
Questionnaires, experiments 3
- How To Design A Questionnaire Or Survey (Research Methods Tutorial)
Aimed at beginner researchers and students.
Video - Survey Questionnaire Design for Beginners
Basics of designing online surveys.
Video - Designing Survey Questionnaire, Data Collection and Other Issues
Covers instrumentation and data collection alongside questionnaire design.
Video
1.2 Using secondary data 5
Types of secondary data 4
- UoR Library: Finding statistics guide
Sources of statistical data, from demographics to economics
LibGuide - Getting started with secondary analysis
Key issues to consider when using secondary data.
Video - Dissertation projects: Introduction to secondary analysis for qualitative and quantitative data
Aimed at dissertation students.
Video - Finding And Using Secondary Data In Research
Covers how to find secondary data.
Video
Data characteristics and data cleaning 1
2What type of research question?
The decision tree – work down to a named test.
2.1 Group comparisons (differences across groups) 33
Two groups → t-test 14
- The Paired t-Test (JMP)
Paired t-test overview, formulae, graphical representation, examples
Webpage - SPSS Tutorials: Paired Samples t Test (Kent State)
Step-by-step paired t-test in SPSS
LibGuide - The t tests – Statistics at Square One ch.7 (BMJ)
Detailed t-test overview with formulae and exercises
Book - Statistics at Square One, 12th ed. (Campbell)
Introduction to medical statistics; UoR e-book
Book - Mann-Whitney U Test (StatsTutor)
Steps for the Mann-Whitney U test by hand and briefly in SPSS
PDF - Mann-Whitney U-Test in R Studio (Lincoln)
Mann-Whitney U in R Studio
LibGuide - Mann-Whitney U Test using SPSS (Laerd)
Step-by-step Mann-Whitney U in SPSS
Webpage - Non-parametric tests (UoR lecture material)
UoR extra material on non-parametric tests
PDF - UCLA OARC: which test? – independent-samples t-test
Code for independent-samples t-test in SAS, Stata, SPSS and R
Webpage - How to Do a T-Test using Excel
t-test in Excel
Video19:50 - Wilcoxon-Test (Wilcoxon Signed Rank Test)
Beginner overview: assumptions, key terms, examples
Video11:29 - R Tutorial: Comparing two related groups (paired t-test / Wilcoxon)
Paired comparison in R Studio
Video16:15 - How to Use SPSS: Wilcoxon Matched Pairs Test
Short, task-focused walkthrough
Video5:27 - Mann-Whitney U Test (Simply explained)
Beginner overview of the non-parametric independent-groups test
Video8:19
Three+ groups → ANOVA 14
- The Ultimate Guide to ANOVA (GraphPad)
ANOVA overview, assumptions and FAQs
Webpage - Analysis of Variance (Explorable)
How to calculate and interpret ANOVA
Webpage - One-way ANOVA statistical guide (Laerd)
One-way ANOVA overview, assumptions, non-normal data
Webpage - Analysis of Variance (DATAtab)
ANOVA overview; distinguishes ANOVA from t-test; effect sizes
Webpage - One-Way ANOVA Test in R (STHDA)
Writing, visualising and reporting one-way ANOVA in R
Webpage - ANOVA: Definition, Types, Examples, SPSS (StatisticsHowTo)
ANOVA overview with videos and an SPSS walkthrough
Webpage - What is analysis of variance? (LinkedIn Learning)
4-minute video overview of ANOVA and its terms
Course - ANCOVA overview (Portland State)
ANCOVA overview, mathematical terms, rationale for use
PDF - ANCOVA: Uses, Assumptions & Example (Statistics by Jim)
ANCOVA overview; distinguishes ANOVA from ANCOVA
Webpage - Conduct and Interpret a One-Way ANCOVA (Statistics Solutions)
ANCOVA key concepts and terms
Webpage - ANCOVA in R (DataNovia)
Writing and reporting ANCOVA in R Studio
Webpage - ANCOVA in SPSS (StatsTutor / Sheffield)
Step-by-step ANCOVA in SPSS
PDF - ANOVA (UoR lecture material)
UoR extra material on ANOVA
PDF - UCLA OARC: which test? – one-way ANOVA
Code for one-way ANOVA in SAS, Stata, SPSS and R
Webpage
Categorical outcomes → Chi-square test of independence 4
- Maths Support: Categories (Chi-squared tests)
Chi-squared test of independence and goodness of fit
LibGuide - Chi-Square Test of Independence: Contingency Table and Hypothesis Test
Video - What Are The Assumptions for the Chi-Square Test of Independence?
Video - Chi-square Test for Independence: Step-by-Step Tutorial
Step-by-step walkthrough.
Video
Discipline-specific 1
- Evidence Based Medicine: an overview (UoR lecture slides)
UoR lecture slides on evidence-based medicine
PDF
2.2 Relationships between variables 38
Association → Correlation 12
- Correlation (JMP)
Correlation overview and interpreting the p-value
Webpage - Common pitfalls in statistical analysis: use of correlation techniques
When correlation is inappropriate (Perspectives in Clinical Research, 2016)
PDF - Correlation and regression – Statistics at Square One ch.11
Correlation and regression chapter
Book - SPSS Tutorials: Pearson Correlation (Kent State)
Step-by-step Pearson correlation in SPSS
LibGuide - Correlation Test Between Two Variables in R (STHDA)
Pearson correlation in R Studio
Webpage - Kendall's Tau (DATAtab)
Kendall's Tau overview
Webpage - The Kendall Rank Correlation Coefficient (UT Dallas)
Advanced treatment of Kendall's Tau
PDF - Kendall's Tau-b using SPSS (Laerd)
Step-by-step Kendall's Tau in SPSS
Webpage - Spearman's Rank-Order Correlation using SPSS (Laerd)
Step-by-step Spearman correlation in SPSS
Webpage - Spearman Rank Correlation in R (RPubs)
Spearman correlation in R Studio
Webpage - UCLA OARC: which test? – correlation
Code for correlation in SAS, Stata, SPSS and R
Webpage - Introduction to Correlation Analysis in Excel
Correlation in Excel
Video9:52
Association → Regression 12
- Penn State STAT 501/504
Free online courses on regression and categorical data
Course - Regression and Other Stories – Gelman, Hill & Vehtari
Applied regression, with emphasis on sample size and missing data
Book - Regression and Correlation worksheet (Newcastle)
Regression analysis in worksheet format
PDF - Simple Linear Regression with R (Boston University SPH)
Simple linear regression in R Studio
Webpage - Linear Regression using SPSS (Laerd)
Simple linear regression in SPSS
Webpage - Multiple Linear Regression (Yale)
Multiple linear regression overview
Webpage - Multiple linear regression made simple (Stats and R)
Multiple linear regression in R Studio
Webpage - Multiple Regression Analysis using SPSS (Laerd)
Multiple linear regression in SPSS
Webpage - UCLA OARC: which test? – multiple regression
Code for multiple regression in SAS, Stata, SPSS and R
Webpage - zedstatistics
Deep-dives on regression, distributions and hypothesis testing
VideoChannel - Introduction to Simple Linear Regression
Entry-level introduction to regression
Video - Multiple Linear Regression, The Very Basics
Basic terms for multiple regression
Video20:25
Causal → Instrumental variables 4
- An intuitive introduction to Instrumental Variables
Intuition for instrumental variables and two-stage least squares.
Video - Instrumental Variables – an introduction
Teaches instrumental variables through Angrist's 1990 Vietnam draft-lottery study.
Video - The Logic of Instrumental Variables (Causal Inference Bootcamp)
Video - Identification, Part 3: Instrumental Variables
Frames instrumental variables as an identification strategy.
Video
Causal → Regression discontinuity designs 4
- An intuitive introduction to Regression Discontinuity
Video - Regression Discontinuity – An Introduction to the Intuition
Intuition-first introduction to the design.
Video - Data Science Research Methods: Regression discontinuity design
Covers the sharp vs fuzzy distinction, which shorter intros tend to skip.
Video - WWC Regression Discontinuity Design Training, Module 2
From the US Department of Education's What Works Clearinghouse.
Video
Causal → Difference-in-differences 4
- Difference in Differences (The Effect, Videos on Causality, Ep 51)
Companion to Nick Huntington-Klein's open-access textbook 'The Effect'.
Video - Difference-in-Differences Overview
From a full online causal inference course.
Video - The Intuitive Guide to Difference in Differences Estimation
Explanation plus examples.
Video - Causal Inference: A Simple Difference-in-Difference Model
Includes a Stata demonstration.
Video
Discipline-specific 2
- PROCESS macro (Hayes)
Mediation, moderation and conditional process analysis
Tool - Foundations and Advanced Topics of PLS-SEM using SmartPLS 4 no link yet
Two courses on PLS-SEM from the SmartPLS creators, with online clinic support
Course
2.3 Prediction / forecasts 1
Discipline-specific 1
- Cross-validation FAQ
Complete guide to cross-validation issues
Webpage
3Software how-tos
How to actually run it, in the package you use.
3.1 R and RStudio 13
- STHDA
Practical R walkthroughs for common analyses
Webpage - R for Data Science (free online book)
Data handling, visualisation and analysis in R
Book - PsyTeachR
Statistics and R teaching resources for psychology/social science
Course - PsyTeachR – Reproducible Research Statistics Textbook
Online statistics textbook using R, with exercises, from UG to advanced
Course - R Documentation (DataCamp)
Reference documentation for R
Webpage - Coding Club Tutorials
Tutorials across statistical coding programmes
Course - Statistical Tools for High-Throughput Data Analysis (STHDA)
Practical R walkthroughs for common analyses
Webpage - Coding Club (including R) and Advanced Analytical Pipelines – UoR no link yet
UoR grassroots coding club
Course - List of R Resources no link yet
Compiled list of R textbooks, training resources and cheat sheets
Other - Quick-R (statmethods.net)
Introduction to R for beginners
Webpage - The R Project for Statistical Computing
Official R site: manuals, FAQs, downloads
Webpage - Rseek
Search engine for R help
Webpage - LinkedIn Learning: Learning R
Curated LinkedIn Learning collection on R
Course
3.2 SPSS 6
- IBM SPSS – Nonparametric Tests documentation
What SPSS offers for non-parametric analysis
Webpage - SPSS Survival Manual (Pallant) & Discovering Statistics (Field)
Two standard SPSS textbooks for students running their own analyses
Book - Accessing SPSS at UoR (software store)
How UoR staff and students get SPSS
Webpage - LinkedIn Learning: SPSS courses
Curated LinkedIn Learning collection on SPSS
Course - Prof Andy Field
SPSS, R, statistics and research-methods teaching
VideoChannel - BrunelASK – SPSS tutorials
SPSS: t-tests, ANOVA, correlation, regression, non-parametric tests
VideoChannel
3.3 JASP and jamovi 2
- jamovi analysis guide
Analyses in jamovi and how they map to R
Webpage - JASP
Free open-source GUI for R-backed analysis; frequentist and Bayesian
Tool
3.4 GraphPad Prism 1
- GraphPad Statistics Guide
Explanations of common tests and their assumptions in Prism
Webpage
3.6 Excel and XLSTAT 3
- XLSTAT
Excel statistics add-in; 14-day free trial
Tool - XLSTAT support centre
XLSTAT tutorials and videos
Webpage - LinkedIn Learning: Using Excel for statistical analysis
Curated LinkedIn Learning collection on Excel for statistics
Course
3.7 Across packages 1
- Statistics Globe
R- and data-focused tutorials across a wide range of analyses
VideoChannel
4General
Cross-cutting material that applies whatever test you land on.
4.1 Choosing a test (overview guides) 26
- UCLA OARC – Choosing the Correct Statistical Test
Pick a test by variable type and design; code for SPSS/Stata/SAS/R
Webpage - Laerd Statistics – Test Selector
Step-by-step support for choosing and running tests
Webpage - Statistics By Jim
Intuitive explanations of tests, assumptions and interpretation
Webpage - UoR Maths Support – statistics LibGuide
Reading's own statistics support guide
LibGuide - UoR Pharmacology Research Project Guide – statistics
Reading's own subject guide statistics section
LibGuide - UoR MPharm Research Project Guide – statistics
Reading's own subject guide statistics section
LibGuide - Shravan Vasishth's Statistics Course Website
Free courses covering both frequentist and Bayesian statistics
Course - Stats and R Blog
Blog covering test choice (incl. a decision tree), specific tests and visualisation, with R code
Webpage - UoR Library LibGuide: Statistics Support Resources
Reading's own statistics support guide, incl. LinkedIn Learning and Integral for HE
LibGuide - Online Training Resources for Stats Beginners (University of Southampton)
Short recorded sessions on core concepts and tests, with quizzes
Course - Kelvin's Stats Tools Webpage
Activities, games and quizzes for learning statistics
Webpage - Maths Support: Choosing an appropriate test
Library-curated collection on choosing a test
LibGuide - Maths Support: What statistical test should I do?
Library-curated decision support for picking a test
LibGuide - Oxford Dictionary of Statistics
Reference dictionary for statistical terms
Book - Maths Support: Statistics for PhD students
Library statistics support page aimed at PhD researchers
LibGuide - StatsTutor
Free national bank of statistics tutorials, worksheets and videos
Webpage - Introduction to hypothesis testing (SAGE chapter)
Free book chapter introducing hypothesis testing
PDF - Elements of Statistics for Pharmacology (UoR lecture slides)
UoR lecture slides on data representation, replication, hypothesis testing
PDF - UoR statistics workshop: hypothesis testing simulations
Recorded workshop walking through statistical tests step by step, with datasets
Course - Basic Statistics for Life Sciences (Eisner & Tomek, 2025)
Concise handbook of essential statistical techniques for life sciences
Book - Statistics Explained (Hinton)
General introduction to statistics
Book - Statistics for Non-Statisticians (Madsen)
Introduction aimed at readers without a statistics background
Book - StatQuest with Josh Starmer
Clear explanations of regression, logistic regression, ANOVA, p-values, ML
VideoChannel - MarinStatsLectures
R, ANOVA, regression, chi-square, bootstrapping, permutation tests
VideoChannel - jbstatistics
Exam-friendly walkthroughs of core inferential statistics
VideoChannel - Khan Academy – Statistics & Probability
Free structured lessons from the basics upward
VideoChannel
4.2 Assumptions, effect sizes and power 6
- G*Power
Free tool for power analysis and sample-size planning
Tool - Maths Support: Effect Size
Library-curated collection on effect size
LibGuide - Maths Support: Power Analyses
Library-curated collection on power analysis
LibGuide - Maths Support: Error analysis
Library-curated collection on error analysis
LibGuide - Maths Support: Standard deviations
Library-curated collection on standard deviations
LibGuide - Testing normality in SPSS (StatsTutor)
Short video tutorial on checking normality in SPSS
Webpage
4.3 Open and robust research practice 4
- The Art of Statistics: Learning from Data – David Spiegelhalter
Conceptual introduction to statistics; argues against over-reliance on significance testing
Book - Halsey et al. (2015). The fickle P value generates irreproducible results. Nature Methods, 12(3), 179-185.
Why p-values are unstable across replications
PDF - PsyTeachR SIPS 2019 Workshop – Reproducible Methods Teaching Resources
Workshop materials on adapting research-methods teaching to reproducible methods in R
Course - Lectures on Statistics and the History of the Scientific Method no link yet
Philosophical background plus the basics of frequentist interpretation
Course
4.4 Bayesian methods 4
- Prior Choice Recommendations (Stan Wiki)
How to choose priors for Bayesian models
Webpage - Bayesian Data Analysis – Gelman, Carlin, Stern, Dunson, Vehtari & Rubin
Standard handbook of Bayesian methods in applied statistics
Book - Bayesian Data Analysis Course (Aalto University)
Free online course accompanying the Bayesian Data Analysis book
Course - Bayesian Methods Community of Practice – UoR no link yet
Advanced UoR community of practice on Bayesian methods
Other
—Browse everything
Every resource on this page, searchable and sortable.
| Resource | What it covers | Where it sits | Type |
|---|---|---|---|
| Maths Support: Sampling methods (sampling frame) | Library-curated collection on sampling methods | 1.1 Sampling frame and sampling strategy | LibGuide |
| Sampling - Introduction, Population Definition, and Sampling Frames | Covers population definition and sampling frame together. | 1.1 Sampling frame and sampling strategy | Video |
| Sample, Sampling Unit and Sampling Frame | Distinguishes the three terms with simple examples. | 1.1 Sampling frame and sampling strategy | Video |
| Maths Support: Sampling methods | Library-curated collection on sampling methods | 1.1 Different types of sampling | LibGuide |
| What is sampling in research: Sampling Methods, Types and Techniques Explained | Overview of sampling method types. | 1.1 Different types of sampling | Video |
| Sampling Frame: Meaning, Example and Use in Research | Real-life examples. | 1.1 Different types of sampling | Video |
| Prolific | Research participant panel | 1.1 Using research panels such as Prolific | Tool |
| Maths Support: Collecting data | Library-curated collection on how to collect data | 1.1 Data collection strategy (in person, online) | LibGuide |
| How To Design A Questionnaire Or Survey (Research Methods Tutorial) | Aimed at beginner researchers and students. | 1.1 Questionnaires, experiments | Video |
| Survey Questionnaire Design for Beginners | Basics of designing online surveys. | 1.1 Questionnaires, experiments | Video |
| Designing Survey Questionnaire, Data Collection and Other Issues | Covers instrumentation and data collection alongside questionnaire design. | 1.1 Questionnaires, experiments | Video |
| UoR Library: Finding statistics guide | Sources of statistical data, from demographics to economics | 1.2 Types of secondary data | LibGuide |
| Getting started with secondary analysis | Key issues to consider when using secondary data. | 1.2 Types of secondary data | Video |
| Dissertation projects: Introduction to secondary analysis for qualitative and quantitative data | Aimed at dissertation students. | 1.2 Types of secondary data | Video |
| Finding And Using Secondary Data In Research | Covers how to find secondary data. | 1.2 Types of secondary data | Video |
| Using Secondary Data In Your Research | 1.2 Data characteristics and data cleaning | Video | |
| The Paired t-Test (JMP) | Paired t-test overview, formulae, graphical representation, examples | 2.1 Two groups → t-test | Webpage |
| SPSS Tutorials: Paired Samples t Test (Kent State) | Step-by-step paired t-test in SPSS | 2.1 Two groups → t-test | LibGuide |
| The t tests - Statistics at Square One ch.7 (BMJ) | Detailed t-test overview with formulae and exercises | 2.1 Two groups → t-test | Book |
| Statistics at Square One, 12th ed. (Campbell) | Introduction to medical statistics; UoR e-book | 2.1 Two groups → t-test | Book |
| Mann-Whitney U Test (StatsTutor) | Steps for the Mann-Whitney U test by hand and briefly in SPSS | 2.1 Two groups → t-test | |
| Mann-Whitney U-Test in R Studio (Lincoln) | Mann-Whitney U in R Studio | 2.1 Two groups → t-test | LibGuide |
| Mann-Whitney U Test using SPSS (Laerd) | Step-by-step Mann-Whitney U in SPSS | 2.1 Two groups → t-test | Webpage |
| Non-parametric tests (UoR lecture material) | UoR extra material on non-parametric tests | 2.1 Two groups → t-test | |
| UCLA OARC: which test? - independent-samples t-test | Code for independent-samples t-test in SAS, Stata, SPSS and R | 2.1 Two groups → t-test | Webpage |
| How to Do a T-Test using Excel | t-test in Excel | 2.1 Two groups → t-test | Video |
| Wilcoxon-Test (Wilcoxon Signed Rank Test) | Beginner overview: assumptions, key terms, examples | 2.1 Two groups → t-test | Video |
| R Tutorial: Comparing two related groups (paired t-test / Wilcoxon) | Paired comparison in R Studio | 2.1 Two groups → t-test | Video |
| How to Use SPSS: Wilcoxon Matched Pairs Test | Short, task-focused walkthrough | 2.1 Two groups → t-test | Video |
| Mann-Whitney U Test (Simply explained) | Beginner overview of the non-parametric independent-groups test | 2.1 Two groups → t-test | Video |
| The Ultimate Guide to ANOVA (GraphPad) | ANOVA overview, assumptions and FAQs | 2.1 Three+ groups → ANOVA | Webpage |
| Analysis of Variance (Explorable) | How to calculate and interpret ANOVA | 2.1 Three+ groups → ANOVA | Webpage |
| One-way ANOVA statistical guide (Laerd) | One-way ANOVA overview, assumptions, non-normal data | 2.1 Three+ groups → ANOVA | Webpage |
| Analysis of Variance (DATAtab) | ANOVA overview; distinguishes ANOVA from t-test; effect sizes | 2.1 Three+ groups → ANOVA | Webpage |
| One-Way ANOVA Test in R (STHDA) | Writing, visualising and reporting one-way ANOVA in R | 2.1 Three+ groups → ANOVA | Webpage |
| ANOVA: Definition, Types, Examples, SPSS (StatisticsHowTo) | ANOVA overview with videos and an SPSS walkthrough | 2.1 Three+ groups → ANOVA | Webpage |
| What is analysis of variance? (LinkedIn Learning) | 4-minute video overview of ANOVA and its terms | 2.1 Three+ groups → ANOVA | Course |
| ANCOVA overview (Portland State) | ANCOVA overview, mathematical terms, rationale for use | 2.1 Three+ groups → ANOVA | |
| ANCOVA: Uses, Assumptions & Example (Statistics by Jim) | ANCOVA overview; distinguishes ANOVA from ANCOVA | 2.1 Three+ groups → ANOVA | Webpage |
| Conduct and Interpret a One-Way ANCOVA (Statistics Solutions) | ANCOVA key concepts and terms | 2.1 Three+ groups → ANOVA | Webpage |
| ANCOVA in R (DataNovia) | Writing and reporting ANCOVA in R Studio | 2.1 Three+ groups → ANOVA | Webpage |
| ANCOVA in SPSS (StatsTutor / Sheffield) | Step-by-step ANCOVA in SPSS | 2.1 Three+ groups → ANOVA | |
| ANOVA (UoR lecture material) | UoR extra material on ANOVA | 2.1 Three+ groups → ANOVA | |
| UCLA OARC: which test? - one-way ANOVA | Code for one-way ANOVA in SAS, Stata, SPSS and R | 2.1 Three+ groups → ANOVA | Webpage |
| Maths Support: Categories (Chi-squared tests) | Chi-squared test of independence and goodness of fit | 2.1 Categorical outcomes → Chi-square test of independence | LibGuide |
| Chi-Square Test of Independence: Contingency Table and Hypothesis Test | 2.1 Categorical outcomes → Chi-square test of independence | Video | |
| What Are The Assumptions for the Chi-Square Test of Independence? | 2.1 Categorical outcomes → Chi-square test of independence | Video | |
| Chi-square Test for Independence: Step-by-Step Tutorial | Step-by-step walkthrough. | 2.1 Categorical outcomes → Chi-square test of independence | Video |
| Evidence Based Medicine: an overview (UoR lecture slides) | UoR lecture slides on evidence-based medicine | 2.1 Discipline-specific | |
| Correlation (JMP) | Correlation overview and interpreting the p-value | 2.2 Association → Correlation | Webpage |
| Common pitfalls in statistical analysis: use of correlation techniques | When correlation is inappropriate (Perspectives in Clinical Research, 2016) | 2.2 Association → Correlation | |
| Correlation and regression - Statistics at Square One ch.11 | Correlation and regression chapter | 2.2 Association → Correlation | Book |
| SPSS Tutorials: Pearson Correlation (Kent State) | Step-by-step Pearson correlation in SPSS | 2.2 Association → Correlation | LibGuide |
| Correlation Test Between Two Variables in R (STHDA) | Pearson correlation in R Studio | 2.2 Association → Correlation | Webpage |
| Kendall's Tau (DATAtab) | Kendall's Tau overview | 2.2 Association → Correlation | Webpage |
| The Kendall Rank Correlation Coefficient (UT Dallas) | Advanced treatment of Kendall's Tau | 2.2 Association → Correlation | |
| Kendall's Tau-b using SPSS (Laerd) | Step-by-step Kendall's Tau in SPSS | 2.2 Association → Correlation | Webpage |
| Spearman's Rank-Order Correlation using SPSS (Laerd) | Step-by-step Spearman correlation in SPSS | 2.2 Association → Correlation | Webpage |
| Spearman Rank Correlation in R (RPubs) | Spearman correlation in R Studio | 2.2 Association → Correlation | Webpage |
| UCLA OARC: which test? - correlation | Code for correlation in SAS, Stata, SPSS and R | 2.2 Association → Correlation | Webpage |
| Introduction to Correlation Analysis in Excel | Correlation in Excel | 2.2 Association → Correlation | Video |
| Penn State STAT 501/504 | Free online courses on regression and categorical data | 2.2 Association → Regression | Course |
| Regression and Other Stories - Gelman, Hill & Vehtari | Applied regression, with emphasis on sample size and missing data | 2.2 Association → Regression | Book |
| Regression and Correlation worksheet (Newcastle) | Regression analysis in worksheet format | 2.2 Association → Regression | |
| Simple Linear Regression with R (Boston University SPH) | Simple linear regression in R Studio | 2.2 Association → Regression | Webpage |
| Linear Regression using SPSS (Laerd) | Simple linear regression in SPSS | 2.2 Association → Regression | Webpage |
| Multiple Linear Regression (Yale) | Multiple linear regression overview | 2.2 Association → Regression | Webpage |
| Multiple linear regression made simple (Stats and R) | Multiple linear regression in R Studio | 2.2 Association → Regression | Webpage |
| Multiple Regression Analysis using SPSS (Laerd) | Multiple linear regression in SPSS | 2.2 Association → Regression | Webpage |
| UCLA OARC: which test? - multiple regression | Code for multiple regression in SAS, Stata, SPSS and R | 2.2 Association → Regression | Webpage |
| zedstatistics | Deep-dives on regression, distributions and hypothesis testing | 2.2 Association → Regression | Video |
| Introduction to Simple Linear Regression | Entry-level introduction to regression | 2.2 Association → Regression | Video |
| Multiple Linear Regression, The Very Basics | Basic terms for multiple regression | 2.2 Association → Regression | Video |
| An intuitive introduction to Instrumental Variables | Intuition for instrumental variables and two-stage least squares. | 2.2 Causal → Instrumental variables | Video |
| Instrumental Variables - an introduction | Teaches instrumental variables through Angrist's 1990 Vietnam draft-lottery study. | 2.2 Causal → Instrumental variables | Video |
| The Logic of Instrumental Variables (Causal Inference Bootcamp) | 2.2 Causal → Instrumental variables | Video | |
| Identification, Part 3: Instrumental Variables | Frames instrumental variables as an identification strategy. | 2.2 Causal → Instrumental variables | Video |
| An intuitive introduction to Regression Discontinuity | 2.2 Causal → Regression discontinuity designs | Video | |
| Regression Discontinuity - An Introduction to the Intuition | Intuition-first introduction to the design. | 2.2 Causal → Regression discontinuity designs | Video |
| Data Science Research Methods: Regression discontinuity design | Covers the sharp vs fuzzy distinction, which shorter intros tend to skip. | 2.2 Causal → Regression discontinuity designs | Video |
| WWC Regression Discontinuity Design Training, Module 2 | From the US Department of Education's What Works Clearinghouse. | 2.2 Causal → Regression discontinuity designs | Video |
| Difference in Differences (The Effect, Videos on Causality, Ep 51) | Companion to Nick Huntington-Klein's open-access textbook 'The Effect'. | 2.2 Causal → Difference-in-differences | Video |
| Difference-in-Differences Overview | From a full online causal inference course. | 2.2 Causal → Difference-in-differences | Video |
| The Intuitive Guide to Difference in Differences Estimation | Explanation plus examples. | 2.2 Causal → Difference-in-differences | Video |
| Causal Inference: A Simple Difference-in-Difference Model | Includes a Stata demonstration. | 2.2 Causal → Difference-in-differences | Video |
| PROCESS macro (Hayes) | Mediation, moderation and conditional process analysis | 2.2 Discipline-specific | Tool |
| Foundations and Advanced Topics of PLS-SEM using SmartPLS 4 | Two courses on PLS-SEM from the SmartPLS creators, with online clinic support | 2.2 Discipline-specific | Course |
| Cross-validation FAQ | Complete guide to cross-validation issues | 2.3 Discipline-specific | Webpage |
| STHDA | Practical R walkthroughs for common analyses | 3.1 R and RStudio | Webpage |
| R for Data Science (free online book) | Data handling, visualisation and analysis in R | 3.1 R and RStudio | Book |
| PsyTeachR | Statistics and R teaching resources for psychology/social science | 3.1 R and RStudio | Course |
| PsyTeachR - Reproducible Research Statistics Textbook | Online statistics textbook using R, with exercises, from UG to advanced | 3.1 R and RStudio | Course |
| R Documentation (DataCamp) | Reference documentation for R | 3.1 R and RStudio | Webpage |
| Coding Club Tutorials | Tutorials across statistical coding programmes | 3.1 R and RStudio | Course |
| Statistical Tools for High-Throughput Data Analysis (STHDA) | Practical R walkthroughs for common analyses | 3.1 R and RStudio | Webpage |
| Coding Club (including R) and Advanced Analytical Pipelines - UoR | UoR grassroots coding club | 3.1 R and RStudio | Course |
| List of R Resources | Compiled list of R textbooks, training resources and cheat sheets | 3.1 R and RStudio | Other |
| Quick-R (statmethods.net) | Introduction to R for beginners | 3.1 R and RStudio | Webpage |
| The R Project for Statistical Computing | Official R site: manuals, FAQs, downloads | 3.1 R and RStudio | Webpage |
| Rseek | Search engine for R help | 3.1 R and RStudio | Webpage |
| LinkedIn Learning: Learning R | Curated LinkedIn Learning collection on R | 3.1 R and RStudio | Course |
| IBM SPSS - Nonparametric Tests documentation | What SPSS offers for non-parametric analysis | 3.2 SPSS | Webpage |
| SPSS Survival Manual (Pallant) & Discovering Statistics (Field) | Two standard SPSS textbooks for students running their own analyses | 3.2 SPSS | Book |
| Accessing SPSS at UoR (software store) | How UoR staff and students get SPSS | 3.2 SPSS | Webpage |
| LinkedIn Learning: SPSS courses | Curated LinkedIn Learning collection on SPSS | 3.2 SPSS | Course |
| Prof Andy Field | SPSS, R, statistics and research-methods teaching | 3.2 SPSS | Video |
| BrunelASK - SPSS tutorials | SPSS: t-tests, ANOVA, correlation, regression, non-parametric tests | 3.2 SPSS | Video |
| jamovi analysis guide | Analyses in jamovi and how they map to R | 3.3 JASP and jamovi | Webpage |
| JASP | Free open-source GUI for R-backed analysis; frequentist and Bayesian | 3.3 JASP and jamovi | Tool |
| GraphPad Statistics Guide | Explanations of common tests and their assumptions in Prism | 3.4 GraphPad Prism | Webpage |
| XLSTAT | Excel statistics add-in; 14-day free trial | 3.6 Excel and XLSTAT | Tool |
| XLSTAT support centre | XLSTAT tutorials and videos | 3.6 Excel and XLSTAT | Webpage |
| LinkedIn Learning: Using Excel for statistical analysis | Curated LinkedIn Learning collection on Excel for statistics | 3.6 Excel and XLSTAT | Course |
| Statistics Globe | R- and data-focused tutorials across a wide range of analyses | 3.7 Across packages | Video |
| UCLA OARC - Choosing the Correct Statistical Test | Pick a test by variable type and design; code for SPSS/Stata/SAS/R | 4.1 Choosing a test (overview guides) | Webpage |
| Laerd Statistics - Test Selector | Step-by-step support for choosing and running tests | 4.1 Choosing a test (overview guides) | Webpage |
| Statistics By Jim | Intuitive explanations of tests, assumptions and interpretation | 4.1 Choosing a test (overview guides) | Webpage |
| UoR Maths Support - statistics LibGuide | Reading's own statistics support guide | 4.1 Choosing a test (overview guides) | LibGuide |
| UoR Pharmacology Research Project Guide - statistics | Reading's own subject guide statistics section | 4.1 Choosing a test (overview guides) | LibGuide |
| UoR MPharm Research Project Guide - statistics | Reading's own subject guide statistics section | 4.1 Choosing a test (overview guides) | LibGuide |
| Shravan Vasishth's Statistics Course Website | Free courses covering both frequentist and Bayesian statistics | 4.1 Choosing a test (overview guides) | Course |
| Stats and R Blog | Blog covering test choice (incl. a decision tree), specific tests and visualisation, with R code | 4.1 Choosing a test (overview guides) | Webpage |
| UoR Library LibGuide: Statistics Support Resources | Reading's own statistics support guide, incl. LinkedIn Learning and Integral for HE | 4.1 Choosing a test (overview guides) | LibGuide |
| Online Training Resources for Stats Beginners (University of Southampton) | Short recorded sessions on core concepts and tests, with quizzes | 4.1 Choosing a test (overview guides) | Course |
| Kelvin's Stats Tools Webpage | Activities, games and quizzes for learning statistics | 4.1 Choosing a test (overview guides) | Webpage |
| Maths Support: Choosing an appropriate test | Library-curated collection on choosing a test | 4.1 Choosing a test (overview guides) | LibGuide |
| Maths Support: What statistical test should I do? | Library-curated decision support for picking a test | 4.1 Choosing a test (overview guides) | LibGuide |
| Oxford Dictionary of Statistics | Reference dictionary for statistical terms | 4.1 Choosing a test (overview guides) | Book |
| Maths Support: Statistics for PhD students | Library statistics support page aimed at PhD researchers | 4.1 Choosing a test (overview guides) | LibGuide |
| StatsTutor | Free national bank of statistics tutorials, worksheets and videos | 4.1 Choosing a test (overview guides) | Webpage |
| Introduction to hypothesis testing (SAGE chapter) | Free book chapter introducing hypothesis testing | 4.1 Choosing a test (overview guides) | |
| Elements of Statistics for Pharmacology (UoR lecture slides) | UoR lecture slides on data representation, replication, hypothesis testing | 4.1 Choosing a test (overview guides) | |
| UoR statistics workshop: hypothesis testing simulations | Recorded workshop walking through statistical tests step by step, with datasets | 4.1 Choosing a test (overview guides) | Course |
| Basic Statistics for Life Sciences (Eisner & Tomek, 2025) | Concise handbook of essential statistical techniques for life sciences | 4.1 Choosing a test (overview guides) | Book |
| Statistics Explained (Hinton) | General introduction to statistics | 4.1 Choosing a test (overview guides) | Book |
| Statistics for Non-Statisticians (Madsen) | Introduction aimed at readers without a statistics background | 4.1 Choosing a test (overview guides) | Book |
| StatQuest with Josh Starmer | Clear explanations of regression, logistic regression, ANOVA, p-values, ML | 4.1 Choosing a test (overview guides) | Video |
| MarinStatsLectures | R, ANOVA, regression, chi-square, bootstrapping, permutation tests | 4.1 Choosing a test (overview guides) | Video |
| jbstatistics | Exam-friendly walkthroughs of core inferential statistics | 4.1 Choosing a test (overview guides) | Video |
| Khan Academy - Statistics & Probability | Free structured lessons from the basics upward | 4.1 Choosing a test (overview guides) | Video |
| G*Power | Free tool for power analysis and sample-size planning | 4.2 Assumptions, effect sizes and power | Tool |
| Maths Support: Effect Size | Library-curated collection on effect size | 4.2 Assumptions, effect sizes and power | LibGuide |
| Maths Support: Power Analyses | Library-curated collection on power analysis | 4.2 Assumptions, effect sizes and power | LibGuide |
| Maths Support: Error analysis | Library-curated collection on error analysis | 4.2 Assumptions, effect sizes and power | LibGuide |
| Maths Support: Standard deviations | Library-curated collection on standard deviations | 4.2 Assumptions, effect sizes and power | LibGuide |
| Testing normality in SPSS (StatsTutor) | Short video tutorial on checking normality in SPSS | 4.2 Assumptions, effect sizes and power | Webpage |
| The Art of Statistics: Learning from Data - David Spiegelhalter | Conceptual introduction to statistics; argues against over-reliance on significance testing | 4.3 Open and robust research practice | Book |
| Halsey et al. (2015). The fickle P value generates irreproducible results. Nature Methods, 12(3), 179-185. | Why p-values are unstable across replications | 4.3 Open and robust research practice | |
| PsyTeachR SIPS 2019 Workshop - Reproducible Methods Teaching Resources | Workshop materials on adapting research-methods teaching to reproducible methods in R | 4.3 Open and robust research practice | Course |
| Lectures on Statistics and the History of the Scientific Method | Philosophical background plus the basics of frequentist interpretation | 4.3 Open and robust research practice | Course |
| Prior Choice Recommendations (Stan Wiki) | How to choose priors for Bayesian models | 4.4 Bayesian methods | Webpage |
| Bayesian Data Analysis - Gelman, Carlin, Stern, Dunson, Vehtari & Rubin | Standard handbook of Bayesian methods in applied statistics | 4.4 Bayesian methods | Book |
| Bayesian Data Analysis Course (Aalto University) | Free online course accompanying the Bayesian Data Analysis book | 4.4 Bayesian methods | Course |
| Bayesian Methods Community of Practice - UoR | Advanced UoR community of practice on Bayesian methods | 4.4 Bayesian methods | Other |