> Are you using statistics in a social research setting?
> Have a look below at the courses suitable for social researchers currently
> on offer from the RSS's Professional Development Centre. Full details are
> available at www.rss.org.uk/courses <http://www.rss.org.uk/courses> . New
> courses are being added to the programme monthly.
>
> ***** RSS Professional Development Centre - Training Courses *****
>
> Questionnaire Design, Dr. Pamela Campanelli, 10th December 2007
> Through looking at a wide range of pitfalls, this course explores ways to
> assess the effectiveness of existing questionnaires as well as how to
> write successful new questionnaires. It brings together key points from
> the research literature on questionnaire design and addresses practical
> concerns. Common errors in the wording of individual questions are
> discussed as well as how to combine individual questions into a meaningful
> questionnaire. Also covered are the special concerns faced in writing
> questions for interview surveys versus self-completion surveys.
> Write Clearly: Write to be Understood, Tony Greenfield, 28-29 January 2008
> Do you write about your work to show how clever you are? Or do you write
> about your work because you want to tell people about something that will
> interest them, and perhaps help them? Do you write only for academic
> journals in your own discipline, or do you write for the wider population
> of scientists and engineers, or even for the general population? In this
> hands-on workshop we shall discuss the writing of research work for
> different media and for different readerships. It provides the opportunity
> to discuss and develop your current work, as delegates are encouraged to
> send in or bring along a current article to work on with the presenter.
> Missing Data, James Carpenter & Mike Kenward, 4-5 February 2008
> The aims of this workshop are to help participants: develop an
> appreciation of the issues that arise when data are missing and explain
> common jargon; develop an intuition for the shortcomings of simple
> methods for coping with missing data; develop an intuition for direct
> model-based, multiple imputation-based and weighting approaches for the
> analysis of partially observed data, and explore software that implements
> these methods; understand the importance of sensitivity analysis and how
> it can be carried out; learn from each other by discussing their
> experiences. This workshop is for applied statisticians from most
> background (e.g. medical, social science), statistically able researchers
> (e.g. epidemiologists, social scientists, economists).
Effective Presentation, Peter English, 18 March 2008
> This one-day course is for those who would like to learn more about
> structuring, planning and presenting information orally. Delegates learn
> how to present complex material in a way that aids the audience's
> understanding, reduce their own anxiety levels and use Microsoft
> PowerPoint to best effect. The course is designed to complement the RSS
> 'Presenting Data' course by covering more general presentation skills.
> Presenting Data, Ed Swires-Hennessy, 13th March & 18th September 2008
> This one day course is the foundation to all presentations of statistical
> information. The basic principles of presenting information in tables,
> charts, maps and text are explained. These are illustrated and then
> reinforced through practical exercises. The course is for anyone who is
> involved in communicating statistics to non-statisticians or who reports
> on data - of any description - within organisations, to specific
> communities and to the general public where a message is being given.
> Multilevel Modelling, Harvey Goldstein & Fiona Steele, 19-20 May 2008
> This course is designed to give participants a solid grounding in the
> theory and application of multilevel models. The course will be based
> around theoretical sessions followed by "hands on" practical sessions
> illustrating the theoretical concepts. The hands on sessions will use the
> MLwiN software package. This course is for statisticians and quantitative
> researchers with an interest in the analysis of hierarchically structured
> data. Previous participants have included university researchers from the
> social sciences, medicine and public health, and government statisticians
> (e.g. DfES, Home Office, ONS). The course will not assume a high level of
> statistical knowledge, but participants should be familiar with the
> application and interpretation of multiple regression analysis.
> Introduction to Time Series Forecasting, Robert Sollis, 27-28 March 2008
> This two-day course offers an introduction to time series forecasting.
> The course will explain how to forecast time series using univariate and
> vector statistical time series model, and how to evaluate the forecasts
> obtained to help decide on the best forecasting specifications to be used
> in practice. The most well-known time series models will be covered
> including autoregressive moving average (ARMA) models, vector
> autoregressive (VAR) models, vector error correction models (VECM), and
> nonlinear time series models (e.g. threshold autoregressive models).
> Recently developed statistical procedures for evaluating the accuracy and
> information content of forecasts will also be discussed.
> Basic Statistics for Social Scientists, Christos Byron, March 2008
> This two-day course assumes no prior knowledge of statistics and is
> designed for researchers who want to learn, review and develop their
> skills to choose understand and use appropriate methods for analysing
> their data. Delegates may enrol for one or both days.
> Basic Statistics for Professions Allied to Medicine, David Boniface, 10-11
> September 2008
> This two-day hands-on workshop assumes no prior knowledge of statistics
> and is designed for researchers who want to learn, review and develop
> their skills to choose understand and use appropriate methods for
> analysing their data. Stata would be used.
> Basic Statistics for Psychologists, David Boniface, 15-16 September 2008
> This two-day hands-on workshop assumes no prior knowledge of statistics
> and is designed for researchers who want to learn, review and develop
> their skills to choose understand and use appropriate methods for
> analysing their data. Stata will be used.
> Please visit www.rss.org.uk/courses <www.rss.org.uk/courses> to register
> or to obtain further details of courses available by the RSS Professional
> Development Centre.
>
> We look forward to receiving your registrations.
>
> Kind regards
>
> Ali Houghton
> RSS Training Co-ordinator
>
> RSS Professional Development Centre
> Tel: +44 (0)1625 504067 Fax: +44 (0)1625 267879
>
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