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Explore structural equation modeling through measurement and structural models, confirmatory factor analysis, recursive and non-recursive models, and mediation effects.
A research lecture series on disability-inclusive inquiry, big data, sensing ethics, sociology, and fieldwork in conflict zones.
Explore how linked data is used in the UK, alongside its social, ethical, and civil-liberties implications.
A lecture series connecting qualitative inquiry, data analysis, and big data across interviews, discourse, ethnography, diaries, and mixed-method research.
An advanced introduction to Bayesian computation, covering Metropolis-Hastings, Gibbs sampling, computational speed, and convergence assessment.
An introduction to fitting, extending, and applying cross-classified models.
An introduction to agent-based modeling for social research, covering model analysis, uncertainty, psychological experiments, documentation, and simulation provenance.
Explore Chinese censorship through reverse engineering and examine ethical principles and theories for conducting research responsibly.
Explores archaeology as a metaphor for analysing qualitative data, including archival work, computer-assisted text analysis, and layered longitudinal analysis.
An introduction to web scraping COVID-19 information through HTML, worked examples, notebooks, and a discussion of ethical considerations.
Learn binary logistic regression, including multivariate models and interaction effects.
Learn how ordinal logistic regression works, including multiple ordinal regression and the proportional odds assumption.
Introduces multinomial logistic regression and extends it to multiple multinomial regression through two concise parts.
Introduces Poisson regression for count data, covering model goodness-of-fit statistics and residual diagnostics.
A social research methods survey spanning meta-analysis, survey measurement, small area estimation, big data, text analysis, and geoprivacy.
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