Statistics for Researchers and PhD Students:

A Workshop by Jane and Rex Galbraith of University College London

Hosted by IBUD and Chaired by Alicia Montarzino of EBSU

(Environmental Behaviour Support Unit) at Heriot Watt University

Tuesday 16th July – The lecture theatre, Post Graduate Centre, Heriot Watt

9.30 Welcome

The Role of Statistics in Research

Statistical Pitfalls

11.00 Coffee/tea and informal discussion

Data Analysis using Statistics and Probability

12.30Lunch and informal discussion

Tuesday afternoon: Potato sampling exercise, simple linear regression

15.30 Tea and informal discussion

Statistical Issues in Thermal Comfort research

Participants describing their problems and questions and (maybe) answers

17.00 End

Wednesday 17thJuly

9.30 Sample survey methodology and sources of error

Illustrated by results of potato sampling exercise and thermal comfort surveys;

11.00 coffee/tea and informal discussion

Graphical presentation of data illustrated by results of potato sampling exercise and other examples

12.30 Lunch and informal discussion

Investigating bivariate and multivariate data: regression, logistic regression, graphical representation

15.30 Tea and informal discussion

Further topics as requested

17.00 End

Thursday 18th July

9.30 Statistical Clinic

Book an Hour to discuss your own study

12.30 End

Sponsors:

And the Institute for Building and Urban Design at HWU

Course Rationale:

With the increasing interest in impacts of behaviours and perceptions on issues of comfort, energy, ghg emissions and climate change we are holding this expert workshop to explore related statistical issues with two leading statisticians from University College London who have specialised in the field. This is a terrific opportunity for young researchers and PhD students to immerse themselves for two days in the challenges, pitfalls and opportunities in correctly applying statistics to their own subject areas. Jane and Rex Galbraith will also have time to discuss some individual research questions if required. Please forward this on to anyone you think might benefit from and enjoy these two days working with other young researchers on the application of statistics to climate human behaviours and responses in a changing climate. This course has been organised in conjunction with the Institute for Building and Urban Design at Heriot Watt University, The Energy Technology Partnership and the Edinburgh Climate Exchange. To sign up send an email to Sue Roaf:

Biographical Details

Mrs Jane Galbraith

Jane Galbraith is an Honorary Senior Research Associate in the Department of Statistical Science at University College London. She has an MA in Mental Philosophy from Aberdeen University and an MSc in Statistics from the University of London. She has held lectureships in Statistics at University College London and the London School of Economics. She is now retired but provides an informal Statistics Advisory Service for researchers at UCL.

Research and Consulting Interests

Jane has wide interests in the application of statistics, particularly in sample survey methodology and the use of multivariate analysis in the social sciences. She is a co-author with Bartholomew et al. of the book, Analysis of Multivariate Social Science Data (2nd edition), 2008, and has recently published in the Journal of the Royal Statistical Society (Series A) on the mis-use of statistics for the allocation of funds in the National Health Service. She has advised on statistics for thermal comfort at UCL and at Heriot-Watt University.

Dr Rex Galbraith

Rex Galbraith is an Honorary Reader in the Department of Statistical Science at University College London. He has an MSc in Mathematics from the University of New Zealand and a DSc in Statistics from the University of London. He joined UCL in 1967, was Head of Department from 1990 to 1996, and retired in 2007. He currently teaches Statistics for Researchers to PhD students from across UCL. He has been Business Manager of the Biometrika Trust since 1978.

Research Interests

Rex has a long standing interest in applications of probability and statistics to science, and the interplay between statistics and science. He has contributed to a variety of fields, particularly to geochronology and archaeological dating. He is well known for the development and propagation of graphical methods.