Title for Maths Skills Centre That Figures week Feb 2017

5 - 9 February 2018

This week of workshops explored how you can work with statistics and statistical software

◊ Browse our schedule to see what we covered.
◊ Follow the event links for associated resources and slides (where available).
◊ We will keep this page active until after the Easter holidays.

Picture of the book stack in colour for 2017 That Figures week

Week / Format:

     ◊    Most sessions were stand-alone - students could attend one or many           

     ◊    Sessions included workshops by the Library, I.T. and Maths Skills Centre

     ◊    Our Keynote session Accessing/analysing existing large scale data through
           the UK Data Service introduced a fantastic resource for research statistics.

Programme and brief contents

Programme

You can download a That Figures Programme (PDF  , 516kb).  

For more information on each session, click on the Sessions Details tab.

For resources, see links within each session (where they are available).

  MONDAY 5 FEBRUARY

09:00-11:00

Places: 25

Chris  Mellor

Maths Skills
Centre

Let's Make a Deal: how to make (good) decisions under uncertainty. 

A Quiz-Show with a difference.  The session will be a combination of presentation and audience participation. Please come prepared to ''take part''.‌

Let's Make a Deal slides 2018 (MS PowerPoint  , 8,765kb)

13:00-15:30

Places: 50

KEYNOTE:

UK Data Service Team 

Accessing and analysing existing large-scale data through the UK Data Service

Explore a fantastic resource.  See: https://www.ukdataservice.ac.uk/

14:00-16:00

Places: 24

Steph Jesper

Information Services

=Spreadsheets ("an introduction")

A brief look at calculations and datasets in Excel and Google Sheets.

 TUESDAY 6 FEBRUARY

09:00-11:00

Places: 50

Steph Jesper  

Information Services

Survey tools (e.g. Qualtrics; Google Forms) available tools for research 1 of 2  

Part one of a two-part session looking at two popular survey tools.

11:00-13:00

Places : 50

Francis Duah

Maths Skills
Centre

Introduction to Linear Statistical Modelling Using SPSS

Using SPSS to conduct linear regression and correlational analyses.

15:00-17:00

Places: 50

Francis Duah

Maths Skills
Centre

 Analysing Likert Scale Data:  How to (Ab) use them

How researchers can use the statistical software SPSS to analyse Likert scale type data.

 WEDNESDAY 7 FEBRUARY

12:30-13:30

Places: 25

Steph Jesper and Tom Smith 

Information Services Team

Data Visualisation - Digital Wednesdays

Introducing principles of data visualisation, possibilities, hacks available, and some tools. 

Part of the Digital Wednesdays programme.

13:00-17:00

Places: 60

Chris Mellor

Maths Skills
Centre

Introduction to SPSS

The first of the standard PGT workshops - see details on our PG Workshops web page

13:45-16:00

Places: 25

Martin Philip & Alison Kaye

Academic Liaison Librarians and Information Services

Digging for Data - Digital Wednesdays

Find out about using a range of resources including the Economic and Social Data Service, and UN and OECD statistics.

Part of the Digital Wednesdays programme.  

THURSDAY 8 FEBRUARY

09:00-11:00

Places: 50

Steph Jesper

Information Services

Survey tools (e.g. Qualtrics; Google Forms) available tools for research - 2 of 2

Part two of the workshop looking at two popular survey tools.

 FRIDAY 9 FEBRUARY

09:00-12:00

Places: 50

Francis Duah

Maths Skills Centre

Introduction to Linear Statistical Modelling Using R

For students undertaking research who want to learn how to use the statistical software R to conduct statistical analysis. No prior statistical knowledge is assumed.

11:00-13:00

Places: 28

Lindsey Myers

Library Research Support Team

Planning your data management for postgraduate research students

The active curation of data throughout the research life-cycle; a requirement of the University and many research funders.  Find out how to plan ahead for this.

Session Details

THAT FIGURES

A Week of Statistics Analysis Workshops                           5 – 9 February 2018

Session Details   -  All confirmed


MONDAY

Let's Make a Deal - How to make (good) decisions under uncertainty                            [Places: 25]
Chris Mellor
Monday 5 February              09:00 - 11:00              Room:  LFA/144 (Harry Fairhurst Building)

This session looks at the choices facing us and the way that an understanding of probability helps us to make better decisions in the face of uncertainty. We will use some examples to illustrate that the choices people often make in situations of uncertainty are not always the best or most rational and how people can ignore highly relevant information - leading to sub-optimal decisions.

The session will be a combination of presentation and audience participation. Please come prepared to ''take part''.


KEYNOTE SESSION

Accessing and analysing existing large-scale data through the UK Data Service           [Places: 50]
Richard Wiseman - UK Data Service Team
Monday 5 February             13:00 - 16:00             Room:  LFA/015 (Harry Fairhurst Building)

Researchers do not always have to collect primary data; rather they may explore existing data to answer a research question.

In this session you will be introduced to the resources of the UK Data Service. After learning how to find and access data, you will learn how to produce aggregate census statistics using an online tool called 'InFuse', and then you will use the 'UKDS.Stat' interface to interrogate and visualise data produced by organisations like the OECD, UN, World Bank, and IMF.

You will then move on to the main part of the session to perform exercises with a major UK survey (e.g. the Health Survey for England, British Social Attitudes Survey) in an online tool called 'Nesstar' and in SPSS.


=Spreadsheets (“an introduction”)                                                                                      [Places: 24]
Steph Jesper
Monday 5 February              14:00 – 16:00              Room: D/N/114  (Derwent Nucleus PC Room)

In this session we'll be taking a brief look at calculations and datasets in Excel and Google Sheets. We'll look at some basic formulae and functions, and we'll have a go at sorting and filtering data.


TUESDAY

Survey tools (e.g. Qualtrics; Google Forms) available tools for research 1 of 2              [Places: 50]
Steph Jesper
Tuesday 6 February 09:00 – 11:00              Room:  LFA/015 (Harry Fairhurst Building)

In this two-part session we'll take a look at two survey tools: Google Forms and Qualtrics.

We'll look at how the two tools work, and the respective pros and cons of each. We'll explore the mechanics of building and distributing surveys, and we'll take a look at how to create reports from the responses we get.


Introduction to Linear Statistical Modelling Using SPSS                                                  [Places: 50]
Francis Duah
Tuesday 6 February        11:00 - 13:00              Room: LFA/015 (Harry Fairhurst Building)

This workshop is aimed at students who wish to use SPSS to conduct linear regression and correlational analyses. No prior knowledge of statistics or use of SPSS is assumed. 

The topics covered include:

  • Introduction to SPSS user interface
  • Importing data into SPSS
  • Descriptive statistics and checks for the distribution of variables
  • Calculating Pearson and Spearman Correlation Coefficients between variables.
  • Simple and multiple linear regression
  • Interpreting SPSS regression Outputs
  • Regression diagnostics

Analysing Likert Scale Data - How to (Ab) use them                                                        [Places: 50]
Francis Duah
Tuesday 6 February             15:00 - 17:00             Room:  LFA/015 (Harry Fairhurst Building)

This workshop is aimed at students undertaking research who want to learn how to use the statistical software SPSS to analyse Likert scale type data. No prior statistical knowledge is assumed. The workshop serves as an introduction to the analysis that might be conducted assuming that a Factor Analysis has been conducted. The topics covered using SPSS will include:

  • Factor Analysis - where to get training and help yourself
  • Recoding existing variables;
  • Computing new variables from existing variables
  • Which descriptive statistics to use? Mean, mode or median
  • Parametric or Non-parametric tests: Choosing an appropriate statistical test
  • Debates around the analysis of Likert scale type data.

WEDNESDAY

Introduction to SPSS                                                                                                            [Places: 60]
Chris Mellor
Wednesday 7 February        13:00 - 17:00              Room:  B/R/012 (Biology)

This is a 4 hour workshop suitable for postgraduates who have not used this statistical software before but is also appropriate for those who are in need of a refresher.  The workshop introduces the different types of SPSS files (data, output, chart, syntax, template), menus/icons and their use, and discusses how to get data into SPSS and ‘output’ from SPSS and into other applications. Topics covered include:

  • Coding and labelling data
  • Constructing new variables (and recoding)
  • Filtering and summarizing data via basic EDA.

The first part of the session is dedicated to an instructor-led demonstration of the architecture and main features of the software, and the second to a case study where students will have the chance to apply some of their newly acquired skills to real data.


Data Visualisation - Digital Wednesdays                                                                            [Places: 25]
Steph Jesper and Tom Smith
Wednesday 7 February        12:30 – 13:30              Room:  LFA/144 (Harry Fairhust Building)

In this session we introduce some principles of data visualisation, explore the possibilities and hacks available, and take a look at some tools.


Digging for Data - Digital Wednesdays                                                                               [Places: 25]
Martin Philip & Alison Kaye
Wednesday 7 February        13:45 – 16:00              Room:  LFA/144 (Harry Fairhust Building)

Do you need to find published data to explore and support arguments in your work? Are you struggling to find the web’s most authoritative data sources? Find out more about using a range of resources including the Economic and Social Data Service, and UN and OECD statistics at our workshop. We will focus on socio-economic data and won't be covering financial data in this session.


THURSDAY

Survey tools (e.g. Qualtrics; Google Forms) available tools for research – 2 of 2           [Places: 50]
Steph Jesper
Thursday 8 February           09:00 – 11:00              Room:  LFA/015 (Harry Fairhurst Building)

In this two-part session we'll take a look at two survey tools: Google Forms and Qualtrics.

We'll look at how the two tools work, and the respective pros and cons of each. We'll explore the mechanics of building and distributing surveys, and we'll take a look at how to create reports from the responses we get.


FRIDAY

Introduction to Linear Statistical Modelling Using R                                                        [Places: 50]
Francis Duah
Friday 9 February                09:00 - 12:00              LFA/015 (Harry Fairhurst Building)

This workshop is aimed at students undertaking research who want to learn how to use the statistical software R to conduct statistical analysis. No prior statistical knowledge is assumed. The workshop serves as an introduction to R and raise awareness of the advantages of R. The topics covered using R include:

  • Introduction to the R platform and R Studio interface
  • Input of data sets and Basic scripting commands, Add-ons and packages in R
  • Descriptive statistics
  • Graphical displays
  • Parametric and Non-Parametric Statistical tests for Differences and Associations
  • Simple and Multiple linear regression
    • Calculating Pearson’s correlations between two or more variables
    • The syntax and options of the lm( ) command
    • Interpreting R’s regression output
    • Testing the linear regression assumptions, working with outliers, and saving standardized residuals
    • Using the gam( ) function to check linearity
    • Testing for normality of residuals
    • Checking multicollinearity
  • Diagnostics

Planning your data management for postgraduate research students                             [Places: 28]
Lindsey Myers
Friday 9 February                11:00 – 13:00              Room: AEW/106 (Alcuin East Wing Seminar Room)

Research data management (RDM) refers to the active curation of data throughout the research life-cycle; a requirement of the University and many research funders. The key to successfully managing data is to plan ahead. At the start, or even better before the project begins, it is wise to fully consider all the issues that may arise in managing and sharing your research data. Using a checklist and/or writing a Data Management Plan (DMP) will help you do this. See the RDM web pages for more information: www.york.ac.uk/rdm

 

Booking details

Booking Details

Most session places were bookable using the online system Target Connect.

To use this for similar events:

  • Use Chrome or Firefox or similar as your browser - not Internet Explorer.
  • Follow this link to the sign in page.
  • Sign in using your student ID and regular password.
  • Click on Events button - on the black strip at the top left area.
  • Select Event Calendar.  This shows the current calendar week.
  • Use the chevrons at top right to move to the chosen week.
  • Check the details given.
  • Click on your chosen event and follow the information for each session.
  • You will get an automatic email to confirm each place booked.
  • Remember to add the event to your personal calendar system - it will not happen automatically.

PG Wednesdays

For sessions that are part of the Postgraduate Research series, PG Wednesdays see their web calendar.

Please Note

For all sessions, please respect the speakers and your fellow students.  If you book a place but cannot attend, always cancel this booking yourself.  We would not do this for you.  If you leave a place booked and unused, you will waste that valuable resource.  Your consideration will be appreciated.

Further Support

Further support available

For ongoing Maths Skills Centre support, see the web pages at:
https://www.york.ac.uk/students/studying/develop-your-skills/study-skills/maths-skills-centre/

For Research support see:
http://www.york.ac.uk/research/graduate-school/