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A number of half day courses are available. These can be combined to provide you with a customised package of training to suit your needs. For the purposes of description, the courses are divided into research methodology and statistical analysis; however they can be combined as needed. All of the courses are based on a mixture of informal lectures, small group work, group discussions, and for the statistical analysis courses, computer exercises to enable you to practice the methods taught.

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Introduction to research methods: This course will introduce the basic research methodologies used when you are interested in frequency data, differences between groups or relationships between variables. We will also examine consider reliability and validity in research and sampling issues.

Thinking critically about research: In this course we will consider the skills needed to think critically about information, research and statistical analysis. This will cover both primary sources of research and media representations of research. How do we know whether a piece of research is really showing us what the author tells us? To what extent do media representations of science and research really reflect the findings?

Ethics in research: Whenever conducting any form of research it is vital to ensure that the highest possible ethical standards are maintained. In this course we will discussed the standard ethic guidelines for conducting research, how to design ethical studies and how to deal with potentially unethical problems.

Issues in questionnaire design: The way in which a questionnaire is designed can greatly influence both the quality and the quantity of the data collected. In this course we will discuss how to write the questions, different way of collecting responses (rating vs. open ended questions), reliability and validity in questionnaires and we will give a basic overview of the types of analysis typically used to analyse the data collected from questionnaires.

Issues in experimental design: When designing an experiment there are a great many factors that need to be considered. In this course we will talk about experimental and quasi-experimental designs, control variables, confounding variables, the advantages and disadvantages of repeated vs. independent measures designs and the interpretation of main effects and interaction terms.

Hypothesis testing and inferential statistics: This is a "no numbers" introduction to the theory behind hypothesis testing and the use of inferential statistics. In this course we will consider how we can collect data from a relatively small number of people and then use statistics to understand whether the patterns in the data can be generalised to the wider population: inferential statistics.

Psychometrics in research: This session will begin with an introduction to the main psychological theories of personality and intelligence. The methodology behind psychometric testing will then be discussed before moving on to looking at a range of different psychometric tests. The tests used for demonstration purposes can be altered to suit your needs.