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ALLSTAT  November 2011

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Subject:

PhD Scholarships Competition - deadline 9 January 2012

From:

Margaret MacDougall <[log in to unmask]>

Reply-To:

[log in to unmask]

Date:

Thu, 24 Nov 2011 13:00:10 +0000

Content-Type:

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Applications are invited from eligible candidates for the PhD opportunity below.
Project title: Modern methods for detecting examiner bias in naturalistic assessment data
Background:
This project aims to extend recent methodology involving hypothesis tests for detecting examiner bias to more naturalistic cases in which non-parametric assessment data cannot readily be Normalized and data may be categorical or sample sizes small. The successful candidate will have access to a rich and ongoing large database of examinee ratings for undergraduate medical students, commencing from 2001. This will facilitate the application of bootstrapping and Monte Carlo techniques to examine hypothesis test robustness and enhance the derivation of new approaches to obtaining associated confidence intervals. The research will apply specifically to cases where student scripts are double-marked, with one examiner having prior knowledge of student performance in a separate but related assessment. An emphasis will be placed on distinguishing between natural tendencies of individual students to perform well or poorly overall and consistency in perceived
 performance influenced by examiner bias. The research outcomes will therefore be of relevance across a wide range of disciplines where double marking is viewed as a reputable procedure for enhancing score reliability. Additionally, these outcomes will inform existing methodologies for detecting halo and horn effects within the more general literature on examiner bias. The final phase of the project will involve a more qualitative component requiring management of focus group sessions, with examiners as participants. The findings from this component will be used to explore the underlying sociocultural mechanisms which lead to halo and horn effects. This will in turn help to address the more philosophical issue of the extent to which such effects ought to be modelled as measurement error when estimating score reliability.  
Further project details are available at: 
http://www.chs.med.ed.ac.uk/education/docs/CMVM_Studentship_2012_13/Modern%20methods%20for%20detecting%20examiner%20bias%20in%20naturalistic%20assessment%20data.pdf 
If you wish to discuss this particular project in more detail, please contact me by email ([log in to unmask]) in the first instance. 
Best wishes 
Margaret MacDougall  
General instructions on appling are provided below. Timetable 
Application closing date - 9 January 2012
Selection  interviews - w/c 23 January 2012
Start date - Sept/Oct 2012
Eligibility/Funding
We have 1 scholarship on offer which is Home  Fee (UK/EU) tuition rates only. Benefits include an annual stipend of approx. £13,590 per academic year (the rate for 2012/13 has not yet been confirmed),  payment of tuition fees at the UK/EU rate and payment of bench fees. 
*Please note that applications from overseas students are welcome but  individuals would be responsible for covering the remaining funds for the  studentship themselves.* 
All benefits are subject to satisfactory annual  reviews of progress.
Qualifications
Applicants should have, or expect to obtain, a good  postgraduate degree (with an overall average of at least 60%), or equivalent  qualification in a relevant subject. More specific qualifications are detailed  in each project.
Application process:
When applying for PhD opportunities, please  send or e-mail the following:
	1. Covering letter explaining which project (s) you are applying for and why  interested in the topic 
	2. Research proposal 
	3. Curriculum Vitae 
	4. Full academic transcripts (undergraduate and postgraduate; interim  transcripts are acceptable if currently on programme) 
	5. 2  Academic References
	6. Proof of  Language Results, if applicable 
All documentation should be sent to:
Maggie Luttrell
Postgraduate  Administrator
Centre for Population Health Sciences
University of  Edinburgh
Teviot Place
Edinburgh, EH8 9AG
United Kingdom

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