Dr Paul White
In a nutshell I'm one of the lecturers in statistics at the University of the West of England. My first degree was in mathematics and through final year options I specialised in statistics, operational research and numerical analysis. I also completed a masters in scientific computing which had strong bias to statistics, numerical methods and programming. After that I completed my PhD studies (The Design and Analysis of Experiments for Ordered Categorical Data) which is revolved around the development of new statistical methodology.
I've been at UWE for over a decade, predominantly as an applied statistician. Below I've given some of the details of what I get up to. I've structure this web page to give details of my teaching, my role as an applied statistician at UWE, external consultancy work, some ongoing research projects, and some of the published work that I have been involved with. If you need (or want) to contact me then my contact details are as follows:
Contact details
Dr Paul White,
Senior Lecturer in Statistics,
Department of Mathematical Sciences,
University of the West of England,
Frenchay Campus,
Bristol,
BS16 1QY
Email me using :: paul.white@uwe.ac.uk
Call me on (0117) 32 83145
Otherwise drop by my room (2P36) and if I'm free then I'm free.
Teaching
I'm involved in a variety of modules (project modules and taught modules) and I've tried to give an informal overview of my perspective of these modules below.
Details of my research, consultancy, publications and other activities are available here.
Maths, Stats and OR Project
This is a wonderful module. I love projects. I really enjoy working with a student on a one-to-one basis. In general I am very happy to talk with students about the development of a final year project in statistics in the widest sense. The types of project that I tend to superise are varied covering Methodology,the Applied Science of Statistics, Mathematical Statistics and Data Analysis.
I am very happy to develop and supervise projects where the student is a Principal Investigator in empiric research, or takes the lead in a project enquiring into statistical techniques, or work with a student who want to be involved in a large scale collaborative data analysis project with other researchers either in UWE or external to UWE. Naturally I would work alongside a student with the aim of putting together a high quality project that suits the student interest and development.
Tim Swift [tim.swift@uwe.ac.uk] is the module leader for the MSOR project module.
Statistical Modelling UFQEGP-20-2
This is a level 2 applied statistics class that I teach to the Maths/Stats students. I teach the module with Robert Kelland [robert.kelland@uwe.ac.uk ] and we are both happy to help students out of class should the need arise.
Stat Mod is a great module to be involved with. It covers all of the commonly used statistical techniques and puts them into practice using modern day computer software (most notably SPSS and Minitab). We cover all of the logic behind inference and consider limitations to conclusions as well as covering all of the statistical niceties. The module revises the statistical work done at level one, adds statistical knowledge and know-how and develops a lot of professional skills (e.g. report writing, designing and presenting tables and graphics) and provides a firm foundation for level 3 specialities such as those covered in the modules Econometrics, Biomedical and Industrial Statistics, Business Research Methods, and in Advanced Statistics. It also feeds nicely into the Quantitative Methods Project. A very enjoyable module.
Research Design and Methods 2 USPJDC-20-2
RDM2 (as the module is affectionately known) is joy to be a part of. I really mean that. Why? Well we cover everything that you would ordinarily find in a psychology research methods module (and a lot more); we cover design and sampling issues, limitations of inference, problems with quantitative research. However the students on this module are exposed to real problems, they collect data as part of their work in other modules; this obvious relevance of the stats side of things means that we have a lot of keen students on this module. The other reason is that is good to be part of a dedicated module team with differing academic backgrounds. Myself and Narges Dailami, [narges.dailami@uwe.ac.uk ] are both from the stats side with interests in psychology, whereas Paul Redford the module leader [paul2.redford@uwe.ac.uk ], Nicola Holt and Alyson Bessell are psychologists with keen interests in quantitative methods.
I also get to see a lot of the students who have completed RDM2 module when they are doing analyses in other modules and in their final year project. Joy!!!
Qualitative and Quantitative Methods in Health Psychology
Yeah! I don't get directly involved in the qually part of this module; others who are expert qually researchers deliver the first part of the module. My input is on the quantitative part. What do we do? Loads! Towards the end of the module we cover things such as structural equation modelling, mediation analysis, power calcs, advanced aspects of factor analysis, and so on (i.e. topics that I do not cover in my other teaching). We also make heavy use of the current literature. How good is that? I even get paid to do it (but not much!).
Advanced Statistics in Psychology
A brand new module. Should be fun.So new that I'm not even on Blackborad for it yet. That said ... here are some SPSS files that we will be using in the first week ...
Research Methods in the Bio-Med sciences
Another masters levels module. The module is a new one for me and is one that I am looking forward to getting involved with.
Statistics for Research A, B, and C.
Statistics for Research A (S4RA) is a ten credit level M module. S4RB is a 15 credit module. S4RC is a 20 credit module. The module is composed of 17 units of study. Each unit and its assessment, roughly speaking, equates to 5 credits. Anyone wanting to do these modules would select those units (2, 3, or 4) that will support their research. On this module I work on a one to one basis and a more structured delivery of some of the module content can be obtained by attending the short courses. In the main it is UWE PhD students who take part in this module.
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