The University of Southampton
University of Southampton Institutional Repository

Opportunities and challenges in using longitudinal Mass Observation data for mixed methods research: lessons learnt from the preparation of a funding bid

Opportunities and challenges in using longitudinal Mass Observation data for mixed methods research: lessons learnt from the preparation of a funding bid
Opportunities and challenges in using longitudinal Mass Observation data for mixed methods research: lessons learnt from the preparation of a funding bid
Lindsey, R.
fddef0e2-3584-4b4f-939b-82049b73fcdd
Bulloch, S.
2e394c2e-2ed4-458a-bfbe-655bd9f70cb3
Lindsey, R.
fddef0e2-3584-4b4f-939b-82049b73fcdd
Bulloch, S.
2e394c2e-2ed4-458a-bfbe-655bd9f70cb3

Lindsey, R. and Bulloch, S. (2012) Opportunities and challenges in using longitudinal Mass Observation data for mixed methods research: lessons learnt from the preparation of a funding bid. 75th Anniversary of the Mass Observation Archive Conference, Brighton, United Kingdom. 04 - 06 Jul 2012.

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: July 2012
Venue - Dates: 75th Anniversary of the Mass Observation Archive Conference, Brighton, United Kingdom, 2012-07-04 - 2012-07-06
Organisations: Faculty of Social, Human and Mathematical Sciences

Identifiers

Local EPrints ID: 354196
URI: http://eprints.soton.ac.uk/id/eprint/354196
PURE UUID: 9286aeb5-42c5-4b2d-9388-74c0ddd0b24c
ORCID for R. Lindsey: ORCID iD orcid.org/0000-0001-7271-9186

Catalogue record

Date deposited: 03 Jul 2013 13:35
Last modified: 03 Aug 2022 01:43

Export record

Contributors

Author: R. Lindsey ORCID iD
Author: S. Bulloch

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×