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Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partn...

The Russell Sage Foundation (RSF), in collaboration with the Criminal Justice program at Arnold Ventures (AV) is pleased to announce its first annual grants competition for early-career scholars. Our

In this Review, Drew Bailey et al. present an accessible, non-technical overview of key challenges for causal inference in studies of human behaviour as well as methodological solutions to these chall...

lenging, but these skills are often glossed over in training. Campbell and Stanley’s framework for causal inference has been extraordinarily influential in social science training programs but has rec...

:movie_camera: R data package to explore Pixar films, the people, and reception data - erictleung/pixarfilms

The heading picture of this entry is from an old school Atlas that I have bought at the Rastro Flea Market in Madrid. I will come back to this picture at ... Read more

Background In standard Sequence Analysis, similar trajectories are clustered together to create a typology of trajectories, which is then often used to evaluate the association between sequence patter...

Math and reading skills are worsening, posing a risk to labor productivity and competitiveness.

On 17 December 2024, it was reported that Minister of Education Giuseppe Valditara had filed civil…

How a federal policy change in the 1980s created the modern food desert

Theories of change in social class mobility present contrasting expectations of either change or persistence in mobility as societies develop. This article exam...

Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models. References: Merkle & Rosseel (2018) <doi:10.18637/...