TWO fully funded ESRC PhD STUDENTSHIPS linked with the ESRC Administrative Data Research Centre England

The new Administrative Data Research Centre (ADRC) England at the University of Southampton is pleased to announce TWO 1+3 PhD studentships which will be linked to the Centre and based within the University’s ESRC Doctoral Training Centre (DTC).  The studentships will provide up to four years’ funding (1 year Masters + 3 years PhD) including fees, Standard Maintenance Grant (currently £13,726 pa) and Research Training Support Grant (£750 pa). In addition students are eligible for the advanced quantitative methods supplement (currently £3000 pa and £250 pa respectively). High quality applicants will also be considered who have already obtained an average of 60% or more in an ESRC recognised Masters.  Applications are invited in the following topic areas to be supervised by ADRC co-investigators.  Two studentships will be awarded based on the excellence of the applicants.

Topic A: Establishing patterns of error in household and individual level consumption data

This project concerns the relationship between a range of consumption patterns and energy consumption levels. The project will review approaches to the estimation of reported 'consumption error'; combine and/or link consumption and other datasets from various sources to produce a set of experimental linked consumption datasets; develop methods to analyse the characteristics and distribution of error in reported consumption of, for example, water and energy.

Topic B: The Residential Mobility of Mental Health Service Users

The aim of this research is to enhance understanding of the residential mobility of patients receiving NHS mental health treatment.  Tracking geo-referenced patient movements via administrative sources, the project will undertake multilevel longitudinal analysis of individual and area variables to predict the numbers of moves, comparing trajectories of people with mental illness with a comparison sample of others treated for conditions that are also likely to give rise to multiple hospital treatment episodes.

Topic C: Multistage cluster sampling using geo-frame

In traditional approaches to multistage sampling design, the clusters are fixed in advance.  This PhD concerns investigation of multistage cluster sampling methodology in which geo-referenced information is incorporated into the sampling frame. The project will explore the possibility of using administrative data to perform dynamic clustering in order to minimize the intra-cluster correlation subject to the constraints of cost or work load, and thereby achieve to better trade-off between cost and design efficiency.

Topic D: Combining survey and administrative data for nonresponse investigation

This project aims to combine survey data with administrative data to analyse survey nonresponse behaviour. The project will use multilevel modelling to investigate key determinants of nonresponse and representativity indicators and to develop nonresponse adjustment methods. The project will inform survey practice on how to analyse and adjust for nonresponse using administrative data. The research will improve survey designs including adaptive and responsive survey designs.

Details of how to apply are provided on the Southampton ESRC DTC website at http://www.southampton.ac.uk/esrcdtc.  Applicants must apply to the University and submit the additional DTC form downloadable from the website. The closing date for applications is Monday 28^th February 2014 and interviews will be arranged with the short-listed applicants soon after this closing date. These studentships are for entry in October 2014.

For informal enquiries and further detail on any of these topics, contact: Prof Peter W Smith (P.W.Smith@soton.ac.uk), Director, ADRC England; or Prof David Martin (D.J.Martin@soton.ac.uk), Deputy Director, ADRC England

NIH Call for Information on Methods for 'Big Data' in Biomedical Research

The US National Institutes of Health (NIH) has just issued a call for information on software tools and analysis methods as part of their Big Data to Knowledge Initiative. Specifically, the call solicits input on needs for software and analysis methods related to data compression/reduction, data visualization, data provenance, and data wrangling for biomedical research. The closing data for responses is September 6th 2013.

Background

Biomedical research is becoming more data-intensive as researchers are generating and using increasingly large, complex, and diverse datasets. This era of 'Big Data' in biomedical research taxes the ability of many researchers to release, locate, analyze, and interact with these data and associated software due to the lack of tools, accessibility, and training. In response to these new challenges in biomedical research, and in response to the recommendations of the Data and Informatics Working Group (DIWG) of the Advisory Committee to the NIH Director (http://acd.od.nih.gov/diwg.htm), NIH has launched the trans-NIH Big Data to Knowledge (BD2K) Initiative (www.bd2k.nih.gov).

The long-term goal of the NIH BD2K Initiative is to support advances in data science, other quantitative sciences, policy, and training that are needed for the effective use of Big Data in biomedical research. (The term "biomedical" is used here in the broadest sense to include biological, biomedical, behavioral, social, environmental, and clinical studies that relate to understanding health and disease).

Details can be found here: http://grants.nih.gov/grants/guide/notice-files/NOT-HG-13-014.html

 

 

Training resources: Sharing, Preservation and Licensing of Data

The Research Data MANTRA project has announced publication of their final learning unit - Sharing, Preservation and Licensing: 

http://datalib.edina.ac.uk/mantra/preservation.html
(It may be necessary for you to refresh your browser to view it.)

Topics covered, through the usual combination of text, illustrations, videos and quizzes include:

About the unit
Story of a thwarted data user (case study from Clinical Psychology)
Why share data?
Sharing your research data
Data sharing: Benefits
Data sharing: Barriers
Data fabrication and fraudulent practices
Long-term data preservation: the risk of loss
Preservation and trusted repositories
Open data licensing
Open Data Commons
ODC Guide
Summary

CASS Short Course Programme 2012/13 announced

Full updated details of the new CASS Short Course Programme for 2012/13 are now available from the CASS website at www.southampton.ac.uk/cass

*** Please note that courses filled up very quickly and early booking is recommended ***

The 2012/13 Programme includes courses on:

• How to Analyse Survey Data: Methods, Software and Applications (by Prof Danny Pfeffermann, Prof Patrick Sturgis, Dr Moshe Feder and Dr Dave Holmes) • Questionnaire Design (by Dr Pamela Campanelli) • Survey Data Analysis I: Introducing Descriptive and Inferential Statistics (by Dr Olga Maslovskaya and Dr Amos Channon)• Survey Data Analysis II: Introduction to Linear Regression Modelling (by Dr Nikos Tzavidis) • Applied Multilevel Modelling (by Dr Ian Brunton-Smith and Dr Gabriele Durrant) • Regression Methods (by Dr James J Brown) • Essentials of Survey Design and Implementation (by Dr Pamela Campanelli) • Data Linkage: From Theory to Practice (by Dr Nathalie Shlomo) • Structural Equation Modelling for Cross-Sectional and Panel Data (by Prof Patrick Sturgis and Dr Katy Sindall) •Event History Analysis (by Dr Hill Kulu) (tbc) • Longitudinal Data Analysis (by Prof Peter Smith, Dr Ann Berrington and Dr Marcel Vieira)

Courses will be held in Southampton, Cardiff, Edinburgh and London.

For a course summary and details of dates and venues, please visit http://www.s3ri.soton.ac.uk/cass/programme.php

CASS (Courses in Applied Social Surveys) is a programme of short courses covering topics in survey design, data collection and data analysis methods. Courses are aimed at academic social scientists and applied researchers in government, market research and the independent and voluntary sectors.

CASS is part of the ESRC National Centre for Research Methods.

Teaching is interactive and responsive to course participants' needs. All courses include practical sessions or computer workshops to enable participants to put the learned methods into practice.

For most courses fees are £30 per day for UK-registered students. £60 per day for staff from UK academic institutions (including research centres), ESRC funded researchers and UK registered charitable organisations. £220 per day for all other participants. However please check the individual course you are interested in for exact fees. The course fee includes course materials, lunches and morning and afternoon refreshments. Travel and accommodation are to be arranged and paid for by the participant.

If you have any further questions please contact us at cass@southampton.ac.uk or look at our website www.southampton.ac.uk/cass

Innovative approaches to methodological challenges facing ageing cohort studies

Day 1: Wednesday 25 July 2012
MANDEC, 3rd Floor, University Dental Hospital, Higher Cambridge Street, Manchester, M15 6FH
Booking form

Day 2: Thursday 26 July 2012
Room: TBC

Booking form

This conference brings together key themes explored in the previous NCRM workshops on the methodological challenges to ageing cohort studies (http://www.methods.manchester.ac.uk/ageingcohort/). The focus of this conference will be innovative solutions that have been developed by researchers to deal with problems associated with ageing cohort studies. In particular, some solutions to challenges related to attrition, missingness, comparability across cohorts and over time, and data collection will be highlighted over two days. The first day will feature presentations and where appropriate, a demonstration of syntax programming for statistical packages. The second day will feature practical sessions in a computer lab using statistical software packages.

Please note: It is not compulsory to attend both days.

Day 1 Presentations: 11am- 4pm
James Banks (IFS and University of Manchester)- Attrition and Health in Ageing Studies: Evidence from ELSA and HRS. This presents an investigation into observable characteristics associated with attrition in the English Longitudinal Study of Ageing (ELSA) and the Health and Retirement Study (HRS), with a particular focus on whether attrition is systematically related to health outcomes and socioeconomic status.
Ian Plewis (University of Manchester)- Using auxiliary variables to adjust for longitudinal missingness. Different sorts of auxiliary variables – variables measured at previous waves, frame variables and paradata - can be used to improve the accuracy of response propensity models, and to enhance adjustments for missing longitudinal data. These variables can be used when constructing iterative probability weights, carrying out multiple imputations, and specifying models that jointly model a substantive process and the missingness mechanism. Data from the first two waves of the UK Millennium Cohort Study are used to illustrate the potential value of auxiliary variables.
Rebecca Hardy (NSHD and UCL)- Statistical issues in meta-analysing multiple ageing cohort studies. This presentation examines recent publications from the HALCYON study team that have overcome methodological challenges to meta-analysis of observational cohort studies. In particular, challenges on data comparability across cohorts and over time will be highlighted.
Natasha Wood (Natcen)- Overcoming problems associated with retrospective data collection in cohort studies. This presentation looks at the development of the lifegrid for retrospective data collection and its CAPI implementation in the ELSA life history interview.

Day 2 Computer based practical workshops: 10am- 4pm
Rebecca Landy (QMW) : A simulation of 1946 birth cohort data under three missing data mechanisms (MCAR, MAR and MNAR), using three missing data methods - complete case, multiple imputation and Heckman selection. This session takes the student through the STATA syntax used when applying these missing data methods.
Gopalakrishnan Netuveli and Morten Wahrendorf (ICLS and Imperial College): The lifegrid data structure for ELSA and the Survey for Health and Retirement in Europe (SHARE) will be described, highlighting similarities and differences. This will be followed by a practical demonstration of handling lifegrid data based on ELSA data using STATA.
The workshop is free for participants to attend but registration is essential. Workshop attendees may claim some travel expenses. Please email veronica.smith@manchester.ac.uk for further details.

A Strategy for Survey Methods Research in the UK

Three Directors of the late Survey Resources Network have published a strategy document, examining the present and future of survey methods research in this country. The document is available via the surveynet.ac.uk website or via the link below:

Peter Lynn, Bob Erens and Patrick Sturgis:
A Strategy for Survey Methods Research in the UK

Using multilevel models and MCMC methods and applying them to the Health Survey for England using the new STAT-JR package

Wednesday 11 - Friday 13 July 2012
Humanities Bridgeford Street Building, University of Manchester

This workshop is jointly organised by ESDS Government and e-Stat, a quantitative node for the ESRC Digital Social Research programme which brings together academics working in statistics and computer science.

Prerequisites: a working knowledge of multiple regression and the basics of sample design. Some previous knowledge of multilevel modelling, for example attendance at our workshop in 2010, would be beneficial.

Cost: the workshop fee is £95. Bookings will not be confirmed until payment is received.

The focus of this three day workshop is on the use of new statistical software, STAT-JR for fitting complex statistical models. We will focus on multilevel modelling where the multilevel structure is determined by the sample design, in particular on the way the methods can be applied to the Health Survey for England. This structure will then be used to examine the extent to which variables such as height, weight and BMI are clustered by household and area and whether any of this variability can be accounted for by background variables such as social class and educational qualifications.

The first day will provide a general introduction to the dataset and the STAT-JR software package. On the second day we will give sessions on Bayesian statistics and MCMC methods that the package uses and then describe its application to continuous multilevel models. On the third day we will finish by describing its use on binary response models and give a brief demonstration of an alternative E-book interface to the software. The workshop will be a mixture of lectures and practical sessions using the software on the datasets provided.

To view the programme and book a place please go to http://www.ccsr.ac.uk/esds/events/2012-07-11/

Extending survey measures to children: Experience from the British Crime Survey

10 May 2011, 5.00pm, at the Royal Statistical Society (Tea from 4.30pm)

The British Crime Survey is a sample survey of the population resident in households in England and Wales. It has been running for 30 years but until recently has been restricted to adults. Since January 2009 its coverage has been significantly extended to include children aged 10-15 years.

Development of survey measures – Katherine Grant, TNS-BMRB

Prior to extending the survey to children, TNS-BMRB carried out an extensive period of developing and testing. This included qualitative workshops with children to explore their experience and understanding of crime; cognitive testing and piloting of questions and an extended split-sample field trial. Lessons learned from this work will be shared and their implications discussed.

Estimating the levels of crime experienced by children – John Flatley

Applying existing legal definitions of offences to those incidents reported by children can result in minor incidents that are normal within the context of childhood behaviour and development being categorised as criminal. Conversely, too narrow a classification could omit incidents which while not being viewed as serious by some may inflict significant harm on victims. These issues are discussed together with options for presenting statistics which have been subject to a public consultation.

Attendance is free but pre-registration is recommended. You can register by email: meetings@rss.org.uk or by phone (020) 7638 8998. For a map and directions see www.rss.org.uk/findus . For further information contact John Flatley via john.flatley@homeoffice.gsi.gov.uk .

Two-day course on questionnaire design and measurement

This is a two-day course on questionnaire design and measurement, taught by Professor Jon A. Krosnick (Stanford University), running 5th and 6th of May at the LSE. The course is organized by the LSE’s Methodology Institute, Ipsos-MORI and the Department of Sociology at the University of Essex.

Further details can be found at: http://www2.lse.ac.uk/methodologyInstitute/newsEvents/Krosnick.aspx

The two-day course is free for LSE students and staff, £100 for non-LSE students, £200 for the public sector (including non-LSE University staff) and £400 for the private-sector.

Applications can be made at: https://eshop.lse.ac.uk/browse/extra_info.asp?compid=1&modid=2&prodid=71&deptid=212&catid=40

Surveys and questionnaires are a common way of gathering data in the social sciences. The structuring, wording and ordering of questions has traditionally been viewed as an art, not a science, best guided by intuition. But in recent years, it has become clear that this is an antiquated and even dangerous view that does not reflect the accumulation of knowledge throughout the social sciences about effective question-asking. Intuition often leads us astray in the questionnaire design field, as becomes clear when putting intuitions to the test via scientific evaluation. A large body of relevant scientific studies has now accumulated, and when taken together, the findings point to a series of formal rules for how best to design questions. Yet the vast majority of contemporary questionnaire design fails to follow these rules, because they are not yet widely understood. During the past 25 years, Jon Krosnick has been gathering up the huge body of evidence on optimal questionnaire design for this forthcoming book, The Handbook of Questionnaire Design. In this course, Dr. Krosnick will review the contents of the first half of the book.

The two-day course educates participants about the optimal techniques for questionnaire design, for guarding against measurement artifacts, and for analyzing data in order to overcome the biasing impact of such artifacts. The course will teach participants a new way of thinking about questionnaire design, rooted in psychology. By gaining insight into how respondents approach their tasks of interpreting questions, searching their memories for information, integrating that information into judgments, and expressing those judgments in words, workshop participants will begin to develop skills that will help them to mange design issues for which there are not yet formal rules. In addition to helping participants to design better questionnaires, the two-day course will also equip analysts of questionnaire data to look from a new perspective as they evaluate the meaning of their findings, knowing how measurement artifacts can lead them astray.

Debate on the validity of subjective measures of well-being

Are national statistics on subjective well-being valid and reliable?

Monday 4 April 2011, 5.00 - 6.30pm with drinks reception to follow 6.30-7.30pm

Venue: Alexander Theatre, Samuel Alexander Building, University of Manchester, Lime Grove (off Oxford Road), Manchester, M13 9PL (Building number 67 on the campus map)

The Office for National Statistics (ONS) and methods@manchester are holding a debate on “Are national statistics on subjective well-being valid and reliable?” at the University of Manchester. This supports the national debate on measuring national well-being.

The panel members will be asked questions from the chair and members of the audience. Please register in advance of the event and submit your questions on the registration form. Background material on the issues of well-being and related documents can be found on the ONS website.

Chair: Mark Easton

Panel members include:  
Richard Wilkinson (author of The Spirit Level)
Andrew Oswald (member of the advisory committee on well-being to the ONS)
Stephen Hicks (Assistant Deputy Director of Measuring National Well-being, ONS)
David Hulme (Executive Director of the Brooks World Poverty Institute)

This event is free and open to all, however registration is important as places are limited. Please book a place at www.methods.manchester.ac.uk/events/2011-04-04/

Census Resources for Research

On 12 April 2011, 10.00-4.30
British Library

The event will be an introduction to using census data for UK researchers. Organised in conjunction with the ESRC Census Programme and the UK Data Archive, it will feature presentations on interaction data, samples of anonymised records, aggregate data, boundary data and the ONS Longitudinal Study.

Although the event is open to all, those who are planning to carry out academic research using census data will benefit most. It is not suitable for those interested in genealogy.

This event is free of charge. Lunch and refreshments will be provided.


To find out more and to book a place, please go to: http://www.esds.ac.uk/news/eventdetail.asp?id=2752

Managing and sharing social science research data: legal and ethical issues

8 April 2011, 10.00-2.30
British Library, London

http://www.data-archive.ac.uk/news-events/events.aspx?id=2751

As part of its current Researcher Development Initiative (RDI) grant, the UK Data Archive will host a workshop on managing and sharing research data for quantitative and qualitative social science research. The workshop is aimed at social researchers at all stages of their career - from new to experienced - and will cover key legal and ethical issues surrounding the managing and sharing of data in research with people (surveys, interviews, focus groups, observations and ethnography). The workshop will provide guidance and practical exercises and discussions focusing on:


• ethical and legal issues in data sharing and re-use
• handling and sharing confidential information and personal data
• informed consent and data sharing
• anonymising data

Content is based on advice and guidance provided by the UK Data Archive to researchers and aims to help researchers plan data management strategies for projects and consider data sharing and archiving as part of ethical review procedures.

Travel bursaries are available for postgraduate students. Contact datasharing@data-archive.ac.uk for further information.

Organisers: UK Data Archive, Research Data Management Support Services, University

What Makes You Happy? Office for National Statistics: Consultation on National Well Being Survey

Tuesday 29th March, 2.00 - 4.00pm,
SRA, 24 – 32 Stephenson Way, London NW1 2HX

Booking by email to makiD@the-sra.org.uk

The purpose of this event is to gather together practicing social researchers to explore in some depth the methodological issues facing ONS

For more information http://www.the-sra.org.uk/events.htm

Short Course on Paradata in Survey Research

A short course on 'Paradata in Survey Research' will be held in London on the 7-8th December 2010.

The course objective is to provide participants with an overview of best practices and cutting edge research on the use of paradata, and to help participants gain a thorough understanding of the role of paradata in increasing survey quality and reducing total survey error.

The course costs £30 for UK registered students, and £60 for staff from UK academic institutions.

For more information see http://www.s3ri.soton.ac.uk/cass/showcourse.php?id=95