Search
Search type

Social Statistics

Events in Social Statistics

Social Data Science Week: Introduction to Python

24 February 2020

Part of Social Data Science Week, a collaboration between the Cathie Marsh Institute and methods@manchester. These courses have been designed for postgraduate researchers, giving you the tools to make use of free and open-source software, and techniques from the cutting-edge new discipline of social data science. This one-day introduction to..

Social Data Science Week: Introduction to SQL

25 February 2020

Part of Social Data Science Week, a collaboration between the Cathie Marsh Institute and methods@manchester. These courses have been designed for postgraduate researchers, giving you the tools to make use of free and open-source software, and techniques from the cutting-edge new discipline of social data science. This ‘Introduction to SQLâ€..

Social Data Science Week: Introduction to QGIS

26 February 2020

Part of Social Data Science Week, a collaboration between the Cathie Marsh Institute and methods@manchester. These courses have been designed for postgraduate researchers, giving you the tools to make use of free and open-source software, and techniques from the cutting-edge new discipline of social data science. This course will introduce at..

CMI Seminar by Dr James Laurence (UoM) "Together and Apart: the Dynamics of Ethic Diversity, Segregation and Social Cohesion among Young People and Adults"

15:00 - 16:00 27 February 2020

The Cathie Marsh Institute welcomes James Laurence from The University of Manchester who will be speaking on the topic: Together and Apart: the Dynamics of Ethic Diversity, Segregation and Social Cohesion among Young People and Adults Abstract forthcoming. Tea/coffee and cakes from 2.45. ALL WELCOME! No registration needed.

CoDE Seminar: Diane Abbott, misogynoir and the politics of Black British feminism

12:00 - 13:00 27 February 2020

This seminar is presented by Dr Lisa Palmer, senior lecturer in sociology at Birmingham City University. Her research interests include Black Studies in Britain, the cultural politics of Lover's Rock music; community archiving and heritage; the intersections of gender, sexuality, racism and decoloniality.

Social Data Science Week: Machine Learning with Python

27 February 2020

Part of Social Data Science Week, a collaboration between the Cathie Marsh Institute and methods@manchester. These courses have been designed for postgraduate researchers, giving you the tools to make use of free and open-source software, and techniques from the cutting-edge new discipline of social data science. This intermediate course in M..

Social Data Science Week: Social Media Data Analysis

28 February 2020

Part of Social Data Science Week, a collaboration between the Cathie Marsh Institute and methods@manchester. These courses have been designed for postgraduate researchers, giving you the tools to make use of free and open-source software, and techniques from the cutting-edge new discipline of social data science. This course describes how to..

Structural Equation Modelling Using Mplus

04 - 06 March 2020

Structural Equation Models (SEM) amalgamate regression analysis, path/mediation analysis and factor analysis, allowing for more richly detailed statistical models to be specified and compared to data than by using these techniques individually. Historically, SEM models were confined to the analysis of continuous observed data, limiting their..

CMI Seminar: Prof Paul Smith "Population size estimation with covariates having missing values and measurement error"

15:00 - 16:00 12 March 2020

The Cathie Marsh Institute welcomes Paul Smith from The University of Southampton who will be speaking on the topic: Population size estimation with covariates having missing values and measurement error Abstract forthcoming. Tea/coffee and cakes from 2.45. ALL WELCOME! No registration needed.

NVivo for Qualitative Data Analysis

18 March 2020

This course introduces NVivo as a data management tool. The structure of the training session will be a combination of formal presentation alongside the practical application. Those attending the training session will have access to data sets for practical sessions and can also bring their own data to use in the practical parts of the session..