Manchester Metropolitan University: Data analysis, tools and methods
What is it?
At Manchester Metropolitan University we have considerable expertise in Quantitative Data Analysis, helping with data collection, study design and scale development. Unlike many other providers we do this for both health care and social care, and we use both quantitative and qualitative methods. We have expertise in Big Data, health economics, and ‘real world evidence’. We work with a large number of organisations to gather, manage, analyse and apply data in order to provide new insights into enduring societal challenges, help our public service partners achieve their strategic priorities and improve their performance regionally, nationally and internationally. We use a range of rigorous and sophisticated methods of analysis including, for example, confirmatory factor analysis, structural equation modelling, mixed modelling, growth curve modelling, latent class/latent profile analysis, MANCOVA. Across the University we offer a range of undergraduate and post-graduate courses relating to data science and analytics and economic and financial analysis.
Why do it?
Primary reasons to use data analysis, tools and methods include determining the ‘quality’ of existing measures prior to their implementation. An example would be evaluating behaviour change in response to an intervention, or evaluating personality performance in particular contexts. Data analysis can inform new insights, support policy development and help to improve data driven quality improvement.
We provide bespoke and tailored quotations for proposals related to data analysis and costs will vary dependant upon the piece of work.
How to take forward:
For enquiries, please email email@example.com or visit the faculty page https://www2.mmu.ac.uk/hpsc/contact-us/ to contact us for further information.
Updated: October 2019