Advanced Quantitative Toolkit
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Discriminant analysis
Unsure about how to solve classification problems? Learn more about the statistical models used in LDA and QDA.
Estimating a multilevel model with complex survey data
Applies multilevel analysis using complex survey data (e.g., TIMSS dataset) to illustrate design challenges.
Experimental design in the social sciences
Explains what types of experiments can justify causal claims and offers practical design guidance.
Exploring Feature Extraction Techniques for Natural Language Processing
Reviews and compares major feature extraction techniques used in NLP.
Factor Analysis
Explains how factor analysis identifies latent variables underlying complex data sets.
GAMLSS: A distributional regression approach
Trying to go beyond the mean with your regression model? When neither GLM nor GAM provide an adequate picture, GAMLSS might be the place to start.
Generalized Additive models for location scale and shape (GAMLSS) in R
This article offers a primer on GAMLSS, as a robust model for data with a distribution which deviates from the normal because of its shape. The authors provide examples in R using four different models.
GLM, GAM and more
Sometimes a linear model just doesn't cut it—in these cases, we can extend the model to deal with cases where data violates important assumptions such as linearity.
How to store EDFS Data Triple stores
Explains how to use RDF triples and SPARQL queries efficiently through a step-by-step video guide.
Introduction to Classification and Regression Trees
Learn how to apply the theory of tree partitioning to social science examples in this accessible tutorial.
Introduction to GLMs
Curious about what makes up a linear regression model? This tutorial provides a simple introduction to generalized linear models and the structure of the most common types.
Introduction to hierarchical models
As a social scientist, you may deal with context-dependent clustered data. This chapter will showcase one statistical model to account for the relationships between observations in this type of data.
Introduction to Multidimensional Scaling
Describes how to measure and visualise similarity among items in a dataset.
Issues Associated with Some Popular TSCS Modelling Practices
Learn about the complexities of TSCS data analysis.
Journal Article Exploring TSCS Data Analysis for Social Science
TSCS modelling is an iterative process; this article provides strategies to model its dynamic and cross-sectional components.
Journal article introducing Bayesian multivariate modelling
Trying to wrap your head around how to apply Bayesian reasoning to multivariate modelling? This article illustrates how these concepts intersect, with practical steps for applying it to your own research.
Journal article on argument schemes and visualisation
Introduces AVIZE, a diagramming tool for visualising argument logic in research.
Journal article with an overview of multilevel analysis
Provides an in-depth overview and examples of multilevel analysis.
Keynote: Machine Learning for Social Science
Describes how ML techniques uncover latent structures in count data within social science contexts.
Limited dependent variable models
Are you unsure which model to use for your truncated data? This lecture may give you a better sense of what each model does and when to use which.
