Courses in this category refer to the Researcher Development Framework Domain A: Knowledge and Intellectual Abilities.

This refers to the knowledge, intellectual abilities and techniques to do research.

The course will start off with a quick refresher on keyword and phrase searching and then explore searching thesaurus and indexes, proximity searching, combining answer sets, nesting, and saving searches. These techniques will help improve comprehensiveness and help reduce irrelevant search results. The session will include demonstrations and time to practice searching for information on their own research areas.

The aim of this workshop is to provide a hands-on introduction to some of the basic methods that can be used to analyse data from questionnaires. It would be useful (but not essential) if participants had some basic knowledge of statistical inference and of SPSS.


A systematic review is becoming an increasingly popular method for providing an overview of a research area, but is it really different to a 'normal' literature review?  Find out more in this session.

Test the search strategies and statements that you developed in 'Finding resources for your literature review and beyond - Theory', as well as trying out citation searching techniques to further develop your knowledge of your research topic. Expert help will on hand to guide and support you.

Develop your knowledge and intellectual abilities, so that you will be able to seek and find research material in an effective and efficient manner using the resources available to you at Loughborough University but also in the future too.

This course gives you an opportunity to consider the importance of creative thinking to research and to evaluate some of the techniques used to promote creativity.

The aim of this workshop is to provide a hands-on introduction to a statistical test called the chi-squared test, used to analyse data where both the outcome variable and predictor variable are categorical. It would be useful (but not essential) if participants had some basic knowledge of statistical inference and of SPSS.

The aim of this workshop is to discuss the role that statistical analysis plays in the research study process. A range of different types of study/experimental designs will be discussed along with the benefits to be gained from good designs. The workshop requires little background in terms of mathematics and statistics.

An introduction to statistics and SPSS aimed at participants with no (or very little/distant) knowledge of SPSS and/or statistical methods. Main topics are (i) the role of statistics in research and (ii) data entry/manipulation in SPSS.

An introduction to analysing data using SPSS aimed at participants with no (or very little/distant) knowledge of SPSS. The focus is on calculating summary statistics, tables and charts for data (not more sophisticated methods covered in other workshops). Participants must already be familiar with data entry and manipulation in SPSS.

The aim of this workshop is to introduce the basic principles of good questionnaire design and to discuss the general process of developing a suitable questionnaire that meets the needs of the research and/or study process.

The aim of this workshop is to introduce the basic ideas of statistics.

The presentation will concern practical rather than theoretical aspects and will include the difference between populations and samples, the calculation of measures of location (e.g. mean) and spread (e.g. standard deviation), the calculation and interpretation of standard errors and the normal distribution.

The aim of this workshop is to provide a hands-on introduction to two statistical methods; paired and unpaired t-tests. It would be useful (but not essential) if participants had some basic knowledge of statistical inference and of SPSS.

An introduction to correlation and linear regression aimed at participants with very little statistical background. The focus is on when these methods can be applied and how to interpret the results. Ideally participants will already be familiar with SPSS and with some simpler statistical inference procedures such as t-tests and/or ANOVA, but this is not essential.

The aim of this workshop is to provide a hands-on introduction to non-parametric statistics. This includes the Mann-Whitney test and the Wilcoxon Signed Rank test. Spearman’s rank correlation will also be considered. It would be useful (but not essential) if participants had some basic knowledge of statistical inference and of SPSS.

An introduction to correlation and linear regression aimed at participants with very little statistical background. The focus is on when these methods can be applied and how to interpret the results. Ideally participants will already be familiar with SPSS and with some simpler statistical inference procedures such as t-tests and/or ANOVA, but this is not essential.