Quantitative Methods

Do you want to understand the basic principles of statistics? Under our ‘Basic Stats’ series, we offer a three-session package that will give you a gentle introduction to statistics using a variety of examples. If you already know some statistics and want to find out how to use a software like SPSS, there are both online and face-to-face sessions to help you along. And if you are looking to develop your own statistical capabilities, there is ‘R’, a free software environment for statistical computing and graphics, that compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

Relational Databases

Our introductory workshop about relational databases aims to help researchers in disciplines within the arts, humanities and social sciences to chooe from a range of available data analysis tools.

Introduction to Relational Databases for the Humanities and Social Sciences

The Introduction to Relational Databases session is a practical introduction to interrogating and building databases for research in the arts, humanities and social sciences.

Basic Statistics

Our three workshops on basic statistics provide a gentle introduction to statistics principles using a variety of examples.

Exploratory Analysis and Introduction to Sampling Distributions

The Exploratory Analysis and Introduction to Sampling Distributions session explores how exploratory analysis is done and provides an overview of sampling distributions are, and what sorts of analyses they might be used for.

The Methodology of Hypothesis Testing

Using relevant examples, the Methodology of Hypothesis Testing session will discuss standard error, confidence intervals, sample size, significance level, and interpretations and misinterpretations of p values.

Types of Tests and Introduction to Study Design

The Types of Tests and Introduction to Study Design session will introduce study design as well as help you discover what kinds of tests are appropriate for your data (for example parametric or non-parametric tests, a t test of a chi square test, what type of t test etc.

A list of useful books and websites to help you with statistics.

Statistical Package for the Social Sciences (SPSS)

We offer two workshops on SPSS to provide you a basic introduction to the software:

Data Management and Introduction

The Data Management and Introduction session introduces you to different types of data, looks at how data might be collected, and then entered and managed on SPSS creating simple coding sheets.

Describing and Exploring Data

In the Describing and Exploring Data session you will learn how to choose the best statistic, table or graph to describe your data, and how to interpret basic statistics correctly. You will gain practical experience of presenting statistical data in tables and graphs.

A list of useful books and websites about SSPS.

R Statistical Software

R offers the advantages of a computing language of speed and flexibility but yet does not require any background in programming. It is a freeware available for all computing platforms, offers a state-of-the-art graphics, and contains advanced statistical routines not yet available in other packages. However, R can be challenging for new users, and the sessions here are aimed at helping researchers progress from a basic introduction to conducting multivariate analysis using R.

We run a series of workshops on various aspects of programming with R:

Introduction to R

The Introduction to R session will help you gain a general understanding of the R language and run simple commands. The session focuses on the R syntax and environment, not on statistical analysis (although some examples will be discussed).

Statistics with R

Here you will be provided with an introduction to statistical testing with R. You will carry out various statistical analyses, from simple two-group comparison to various analysis of variance (ANOVA) designs. Non-parametric tests will also be demonstrated. The Statistics with R session provides a broad (albeit brief) overview of the various statistical functions of R, and is mainly designed for researchers who already have some experience with statistical analysis.

Multivariate Statistical Analysis with R

The Multivariate Statistical Analysis with R session will introduce you to principle component analysis, discriminant function analysis and cluster analysis. Advanced graphical methods such as heat-maps and trellis graphics for visualisation of multivariate data will also be demonstrated.

Time Series with R

Time series analysis has an important role in a broad range of disciplines, including biosciences, finance and geophysics. The Time Series with R session will introduce you to various methods for time series analysis from both a frequency domain approach (spectral analysis), and a time-domain approach (e.g. autocorrelation) that can be carried out with ‘R’.

Graphics with R

One of the main reasons for using the R software is its strong graphic capabilities. The Graphics with R session will introduce you to various graphic methods that can be carried out using R and will discuss which sort of plot is most appropriate for a particular sort of data.

Network Analysis Using R

Network analysis refers to the study of graphs representing relations between objects (typically, large datasets), and has become popular in a range of disciplines including Computer Science, Biology, Economics and Sociology. The Network Analysis Using R session offers a broad overview of the various measures of networks, and is mainly designed for researchers who already have some experience with statistical analysis.

A list of useful websites about working with R.

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Research Essentials Online

Research Essentials Online
Explore a suite of interactive resources and live discussions at Research Essentials Online.

Contact the Doctoral College Team:

For all enquiries regarding quantitative methods training please contact the Doctoral College Team on dcevents@le.ac.uk