Methods News

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Methods News aims to cover methodological developments in the social sciences and beyond, across all disciplines and sectors. Our articles include news stories from NCRM and its partners, plus updates and features from external organisations and individuals.


Blog
The (non-)probability survey debate explained

Since the beginning of the COVID-19 pandemic, we have learned a lot about how the global spread of the virus has impacted people’s lives. Surveys have …

Blog
How can we measure health inequality?

Economists (and more broadly social scientists) are increasingly focused on the measurement and causes of inequality in health. Health inequality has many sources, not all of …

Blog
Four key methods for evaluating policy impact

It has often been said that COVID-19 has made amateur epidemiologists of us all, and perhaps less often, amateur behavioural scientists and economists too. As society has …

Blog
Multilevel modelling: what we’ve learnt from our research

In many practical situations when it comes to modelling data through a simple linear regression, we may have the scenario where observations are somehow similar, correlated …

Blog
Random effects models: practical training for social scientists

This week I am just back from teaching a two-week course at the Essex Summer School called Introduction to Multilevel Models. Traditionally a popular annual residential …

Blog
Beyond adaptation: just transferring online?

The most pronounced challenge of doing research during COVID-19 was the watershed switch to the online world. With limited or no training and support, researchers and …

News
Vacancy: Research Officer in Latent Network Modelling

The Department of Methodology at the London School of Economics and Political Science is looking to recruit a Research Officer (PhD desired but not required) …

News
10th GESIS Summer School in Survey Methodology 2021 – Registration is open

The  GESIS Summer School 2021 will take place from 28 July - 20 August. In its 10th anniversary year, it will again (as in the first …