Advanced Quantitative Toolkit
Below you can filter by Resource Categories and/or Resource Types.
You can also enter your own search using keywords, types of resources you’re looking for, or any other specific criteria you’d like to filter our Resources (eg., ‘positionality’ or ‘video’ or ‘introduction’).
A call for qualitative power analyses
Choosing an appropriate and well-powered sample is crucial for effective research. This paper explores best practices for qualitative research.
A Talk About White Supremacy and How It Has Shaped Statistical Norms
Explores how social and cultural assumptions shape statistical methods and their interpretation.
A typology of mixed methods sampling designs in social science research
How do you develop sampling designs in mixed methods research? This paper presents a framework for researchers.
Advanced Difference-in-Differences
Starting with a review of the canonical model, this resource advances to the deviations from the model that researchers use currently.
An Introduction to Bag of Words (BoW)
Explains how to transform unstructured text into numerical representations for ML models.
An Introduction to Topic Modeling
Explains the concept of topic modelling using examples from scientific journal abstracts.
Article discussing multilevel models
Article providing an accessible and detailed introduction to multilevel models, with examples.
Article on survey methodology
This article offers guidance on the survey process, with a section on designing questions that are best suited for rigorous analysis.
Bayesian hierarchical models
Working with clustered data and unsure how to account for within-group variability? This lecture introduces Bayesian hierarchical models as a way to model the relationship between an outcome and predictors for clustered data.
Bayesian reasoning for qualitative social science
Sometimes frequentists' assumptions don't apply to qualitative data—this video explains the advantages of Bayesian statistics in these cases.
Blog post explaining Bayesian linear regression
Learn how to apply Bayesian reasoning to estimate linear model parameters.
Book Chapter on Difference-in-Differences
This resource starts from the basics, providing a simple introduction to DiD methods.
Book Chapter on Multidimensional Scaling
Conceptual introduction to Multidimensional Scaling (MDS).
Brief guide on time series models
This concise explanation of time series models is a quick guide or refresher on when to use which.
Conjoint survey experiments
Introduces conjoint analysis for understanding multidimensional choice patterns in political and social contexts.
Data Theory and Dimensional Analysis: Introduction
Defines scaling techniques and their use in analysing complex social data.
Databases
Introduces database management systems for storing and managing research data effectively.
Dictionary-Based Text Analysis
Explains how to use word-count-based approaches in R for predefined groups of words.
Difference-in-Difference Estimation
This brief overview of DiD explains the method's assumptions, strengths and limitations, and best practices.
Difference-in-Differences
This comprehensive guide to DiD is organized into the sequence of steps needed to get an estimate of an effect.
