Data Analysis

This cluster introduces a range of technological tools, methods and approaches to qualitative and quantitative data analysis.
19/10/2016 1:00-5:00 PN1001 (PC) Basic R Dr Roy Bhakta
01/11/2016 12:15-1:45 EEG169 Introduction to Interpretative Phenomenological Analysis (IPA) Dr Clare Bennett
23/11/2016 1:15-4:15 CH1007 (PC) Introduction to NVivo Heather Yemm
01/02/2017 1:15-4:15 EEG031 (PC) Introduction to SPSS Dr Roy Bhakta
01/03/2017 1:15-4:15 EEG027 Introduction to Stats Methods Dr Roy Bhakta
15/03/2017 1:15-3:30 EEG021 Making Sense of Stats in Applied Health Research Prof Lisa Jones
03/05/2017 12:15-1:45 BYG196 Introduction to Discourse Analysis Dr Danielle Stephens-Lewis

Introduction to NVivo – Heather Yemm

This half-day workshop provides an introduction to using NVivo as a research tool. The workshop will explore how NVivo can be used to assist with various research activities including how to import and create sources in NVivo; creating links, memos and annotations within a project; visualising data via charts and graphs, and creating reports. All of the topics covered will involve practical, hands on activities for participants to explore a data set themselves and begin to familiarise themselves with NVivo.

Introduction to Interpretative Phenomenological Analysis (IPA) – Dr Clare Bennett

Interpretative Phenomenological Analysis is being used increasingly as both a qualitative methodology and method across health, care, psychology and the social sciences. This session, led by Dr Clare Bennett, will aim to provide a general introduction to both IHS staff and level 7/8 students who are interested in finding out more about its origins, applications and purposes. The session will be interactive and will give participants the opportunity to see how IPA is used in practice.

Introduction to Statistical Methods – Dr Roy Bhakta

An introduction to the role that statistical inference and hypothesis testing play in quantitative analysis in research, and an overview of some simple but commonly used statistical tests.

Introduction to SPSS – Dr Roy Bhakta

An introduction to the statistical software SPSS which is aimed at participants with little/no knowledge of SPSS and/or statistical methods. The main topic is data entry/manipulation in SPSS and obtaining simple data summaries.

Making Sense of Statistics in Applied Health Research – Prof. Lisa Jones

This is a session about statistics from a non-statistician, so there will be very little maths! The session leads on from the real statistics teaching delivered by statisticians, and focuses on using and interpreting statistics in applied research rather than on how to ‘do’ statistics (the examples will be from mental health research as that is my area of expertise).  I will use worked examples from my own research, including making sense of SPSS outputs and how to translate these into a Results section for a thesis/paper.

Basic R – Dr Roy Bhakta

R is a quantitative software package that has the advantages of being free and having a lively and helpful user community.  It does, however, have the disadvantage of being code based. For this workshop the assumption is that individuals have no knowledge of using any kind of command line interface. Although front ends are available for R, they will not be used. The following areas will be covered in this half day workshop:

What is R

  • Why use R?
  • Where to get R
  • Installing packages (custom features)

Data and first steps

  • Creating Workspaces, variables, data types etc.
  • Entering data + Data manipulation in arrays and matrices
  • Importing data from Excel or SPSS

Running simple analyses

  • t-test
  • Correlation
  • ANOVA

Simple charts

  • bar graphs
  • histograms
  • scatter plots

Basic programming in R

Other useful things

  • R-Commander
  • helpful websites
  • useful ideas

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