About the resource: Countries and Citizens: Linking International Macro and Micro Data (LIMMD)

Overview

The Countries and Citizens: Linking International Macro and Micro Data (LIMMD) aimed to raise awareness and provide training and support for researchers in the use of the inter-related survey and aggregate data resources that can be accessed through the UK Data Service . The course was targeted specifically at post graduates and researchers but may also be of interest to undergraduates. The project objectives were to promote increased and more effective use of both aggregate and survey data in international comparative research across a range of topics, develop improved linkages between ESRC funded training activities and ESRC funded key data resources and promote increased awareness of the methodological, statistical and technical issues associated with linking aggregate and survey data.

Authors

The LIMMD project team at The University of Manchester were Mr Keith Cole (Project Director), Prof. Ed Fieldhouse (Project Co-director) and Mr Peter Whitton (Learning Technologist).

The members of the LIMMD authoring team were:

• Unit 1 - The basics: Dr Celia Russell, Mimas, The University of Manchester
• Unit 2 - Making cross-national comparisons using macro data: Mr Dave Fysh, University of Portsmouth
• Unit 3 - Making cross-national comparisons using micro data: Mrs Siobhan Carey, Department for International Development
• Unit 4 - Combining macro and micro data: Mr Steve Fisher, Trinity College, University of Oxford
• Unit 5 - Multilevel modelling using macro and micro data: Dr Mark Tranmer, CCSR, The University of Manchester

Original Project

The Countries and Citizens: Linking International Macro and Micro Data (LIMMD) project was funded as part of the ESRC Researcher Development Initiative (RDI)

Terms of Use

Countries and Citizens: Linking international macro and micro data is licensed under a Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales Licence.

Classifications and related publications

• Analysis of secondary data
• Analysis of official statistics
• Microdata Methods
• Data linkage

Dates

This resource was created in 2007 and updated for inclusion in the ReStore project in 2014