Fast Track Quantitative Methods using SPSS (for doctoral students)

Details: 
The call for applications for this course is now closed. Succesful applicants will be notified by 5pm on Friday 30th August. - See more at: http://www.aqmen.ac.uk/events/Sept2013/RegressionCatData#sthash.AYdEwJA2...
The call for applications for this course is now closed. Succesful applicants will be notified by 5pm on Friday 30th August. - See more at: http://www.aqmen.ac.uk/events/Sept2013/RegressionCatData#sthash.AYdEwJA2...

The call for applications for this course is now closed. Successful applicants will be notified by 5pm on Friday 27th September.

Two-week Training Course

Part I:  9/12/2013 - 13/12/2013
Part II: 16/12/2013 - 20/12/2013

Course Instructor:
Dr. Jan Eichhorn, University of Edinburgh

speedometerCourse Overview:
The Applied Quantitative Methods Network (AQMeN) is calling for applications for a fast track introductory and intermediate quantitative methods course. It is aimed at PhD students who will commence their PhD in the social sciences in 2013. Successful candidates will take part in a two-week long intensive course that covers two semesters worth of quantitative methods materials and thus gives students the opportunity to apply quantitative methods from an early point in their doctoral research. After successful completion of the full course and an assignment, a certificate of completion will be awarded. 

Course Structure:
The course will be taught as an interactive seminar with a mixture of lecture style presentations and direct application of lab-style computer exercises. Throughout the course SPSS will be the software package used. Each day will start with a review session to reflect on the materials from the previous day and will provide ample opportunity for longer practical exercises. Such exercises will comprise a mixture of individual, group and class tasks. 

No prior knowledge of statistics or the use of SPSS will be assumed. However, some preparatory materials will be circulated which will benefit students who have not worked with quantitative methods before as well as those who have, but may need a refresher.

The course is not aimed at students who already are advanced users of quantitative methods in the social sciences. 

View programme (subject to change)

Participants:
There are 18 places available on this course which is free to attend.  Priority will be given to 1st year PhD students (starting in September 2013) who meet the qualification criteria.  Research masters or PhD students entering their second year in 2013/2014 may apply, but will only be allocated a place should any places remain following the acceptance of 'priority' candidates.  Any places not allocated to eligible PhD students who meet the qualification criteria may be offered out to academic staff and non-academic organisations.

Qualification Criteria:
In order to be eligible to attend this training course, applicants must be a member of AQMeN and meet one of the following qualification criteria:

  • Be enrolled as a first year PhD student (commencing September 2013) in a social science discipline at a Scottish University
  • Be enrolled as a first year PhD student (commencing September 2013) in a social science discipline at an ESRC-funded Doctoral Training Centre

As mentioned above, research Masters or PhD students entering their second year in 2013/2014 may apply, but will only be allocated a place should any places remain following the acceptance of 'priority' candidiates.

If you are not already a member of AQMeN you can register for free at this link.  Applications from any non-members at the time of closing date detailed below will not be considered for a place on the course.

Course costs:
This course is offered free of charge to students who meet the qualification criteria and are offered a place on the course. Postgraduate students who are not studying at an ESRC-funded Doctoral Training Centre may be considered for a fee should any places remain.

All materials (print and electronic) are provided at no cost to attendees.  Refreshments and lunch are provided to attendees during the training.

Non-attendance
Please note that students are expected to attend for the full duration of the course.  If students do not attend all sessions of the course (unless by prior agreement with the AQMeN core team), we reserve the right to charge £50 per day of the course missed, expenses will not be reimbursed and you may not be considered for future AQMeN training courses and events.

Travel and Accommodation Bursaries:
Students who are eligible to attend the training free of charge, and do not have access to funding from their home institution or elsewhere, can apply for a bursary to help cover travel and accommodation costs if they fulfil all of the following criteria:

  • Reside outside Edinburgh
  • Attend a University outside Edinburgh

 Reimbursement can only take place if you follow the reimbursement process detailed below and bursaries for eligible students will be capped at the following rates:

Travel time (by rail) from Edinburgh  Maximum Travel Contribution  Accommodation Contribution
 Up to 1 hour (travelling each day)  10 return trips @ £20/trip = £200  NIL
 Up to 1 hour (with accommodation during event)  2 return trips (1 per week) @£20/trip = £40  To be confirmed
 Up to 2 hours  2 return trips (1 per week) @£30/trip) = £60   To be confirmed
 Over 2 hours  2 return trips (1 per week) @60/trip = £120  To be confirmed

 

 

 

 

Please note that the location of the University is considered here for the estimation of the distance travelled (analogous to the distance from the workplace), not the distance from your place of residence.

Reimbursement process:
Students are responsible for arranging travel and/or accommodation (if applicable) themselves and will only be reimbursed upon presentation of original receipts (no photocopies or credit card receipts will be accepted) and completion of the relevant expense claim form which will be provided post-event.

AQMeN will not reimburse the following costs (unless agreed prior to the event):

  • Mileage
  • First class travel
  • Meals or room service
  • Inter-city travel (e.g. buses to and from event venue)
  • Taxi fares
  • Credit card fees
  • Sundries (e.g.wireless internet access or newspapers at accommodation)

All expense claims and receipts must be received by the AQMeN office no later than 2 weeks following the last day of the event in order to be eligible for reimbursement.

Contact:
If you have any questions regarding the course, please feel free to contact events@aqmen.ac.uk or + 44 (0) 131 650 2105  

Date: 
Monday, December 9, 2013 - 09:00 to Friday, December 20, 2013 - 17:00
Organiser: 
AQMeN
Location: 
Edinburgh
Venue: 
University of Edinburgh, Main Library