AQMeN - Applied Quantitative Methods Network

How to Apply

This event is limited to a maximum of 25 places and students must apply to attend. On signing up to the event you will be sent an application form via email which should be returned along with a CV to events@aqmen.ac.uk no later than 5pm on Friday 26th March.
 
Students wishing to apply should have previously taken part in a core quantitative data analysis course that included introductions to data distributions, inferential statistics, probability theory and basic statistical modelling techniques.  An understanding of at least multiple regression modelling is required.
 
During the event there will be a Methods taster session in which more advanced techniques including Longitudinal Analysis, Multi-Level Modelling, Structural Equation Modelling and Regression for Categorical Analysis will be introduced.
 
The applicant should provide details of their doctoral research, their knowledge and experience of using quantitative methods (including any training received) and details of how this event would benefit their research in the future.
 
As one of the primary objectives of AQMeN is to build capacity in quantitative methods, applicants should also indicate how they woud plan to feedback or disseminate what they have learned from the event to other postgraduate students within their own university.
 
Each application must be supported by an academic mentor, preferably (although not necessarily) from the student's institution.  The mentor will be required to support the student's application by making a case for their participation in the event and indicating how they will assist the student to feedback to other postgraduate students in their institution.  AQMeN can offer assistance in finding a suitable mentor if required.
 
Applications will be reviewed by a panel from the AQMeN Executive Committee using detailed selection criteria. A maximum of 25 successful applicants will be selected and will be notified during week commencing 12th April
 
Main Event Page

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