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ALLSTAT  January 2019

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Subject:

NCRM Short courses and Training Bursaries

From:

Claire Spencer <[log in to unmask]>

Reply-To:

Claire Spencer <[log in to unmask]>

Date:

Thu, 10 Jan 2019 08:41:33 +0000

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Training bursaries –Now open for all methods research courses till October 2019!

The ESRC wishes to improve the standards of research methods and to stimulate the uptake of high quality training courses in research methods across the UK social science community. The bursaries, for up to £750 each, enable staff in the UK social science community engaged in research, teaching research methods or supervising research to update their research skills. Contract researchers working in HEIs are also eligible for the bursaries.

For more information
http://www.ncrm.ac.uk/TandE/bursary/


Understanding small areas: spatial analysis of population and neighbourhood data – Just 2 places remaining!
7th-8th  February 2019
The University of Manchester, Oxford Rd Campus
Do you need to:
•	obtain census, survey and social media data about populations and small areas? Or;
•	geolocate individual-level survey or transactional data containing postcodes, linking them to area-based indicators? Or;
•	visualise and map population data to understand patterns and relationships at a small area level? Or;
•	understand the characteristics of neighbourhoods? Or;
•	Derive insight from user generated social media data?
This two day hands on workshop provides you with skills to confidently address these themes using freely available individual and neighbourhood data.

For more information and to book:
https://www.ncrm.ac.uk/training/show.php?article=9198


Introduction to Latent Class Analysis
14th -15th March 2019
The University of Manchester, Oxford Road Campus
Latent Class Analysis (LCA) is a branch of the more General Latent Variable Modelling approach. It is typically used to classify subjects (such as individuals or countries) in groups that represent underlying patterns from the data. In addition to this application LCA provides a flexible framework that can be used in a wide range of contexts: in longitudinal studies (e.g., mixture latent growth models, hidden Markov chains), in evaluation of data quality (e.g., extreme response style, cross-cultural equivalence), non-parametric multilevel models, joint modelling for dealing with missing data.

In this course you will receive an introduction to the essential topics of LCA such as: what is LCA, how to run models, how to choose between alternative models, how to classify observations, how to evaluate and predict classifications. You will also apply this knowledge to a number of more advanced models that look at the relationship between latent class variables and at longitudinal data.

For more information and to book:
https://www.ncrm.ac.uk/training/show.php?article=9310


Spatial Interaction Modelling 
28th -29th  March 2019
UCLU, 25 Gordon Street, London 
This two day course is designed to equip participants with the knowledge and skills to build, calibrate and apply powerful spatial interaction models (SIMs). SIMs are used to estimate flows between origins and destinations and have a broad range of applications within geography, planning, transportation, social science and the commercial sector. We assume no prior experience of working with SIMs (or gravity models as they are also known) and focus on both the theoretical and technical components of model building using examples which are intuitively straightforward and familiar to participants (shopping behaviours and migration).

For more information and to apply:
https://www.ncrm.ac.uk/training/show.php?article=9199

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