Title for Maths Skills Centre That Figures week Feb 2017

6 - 10 February 2017

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

      ◊  Browse our schedule to see what we covered.

      ◊  Follow this link to see uploaded resources from these events.

 

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

Week / Format:

     ◊    Each session was stand-alone - students could attend one or many,

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

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

Programme and brief contents

Programme

You can download a printable programme.    That Figures Programme (PDF  , 502kb)

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

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

  MONDAY 6 FEBRUARY

10:30-12:00

Places: 28

Chris Mellor

Maths Skills
Centre

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

A Quiz-Show with a difference. 

Let's Make a Deal slides (MS PowerPoint  , 2,400kb)

11:00-14:00

Places: 50

 

KEYNOTE:

UK Data Service Team 

Accessing/analysing existing large scale data through the UK Data Service

A fantastic resource.  See: https://www.ukdataservice.ac.uk/

14:30-17:00

Places: 30

Francis Duah

Maths Skills Centre

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

How to use SPSS when analysing this type of data,  with discussion and fun quiz

 TUESDAY 7 FEBRUARY

11:00-13:30

Places: 30

 

Francis Duah 

Maths Skills
Centre

Playing with SPSS before your dissertation or thesis data collection

Planning what you want and how to be sure your data formats are best suited for analysis and interpretation. 

Playing with SPSS slides (MS PowerPoint  , 591kb)

14:00-16:00

Places: 29

Francis Duah

Maths Skills
Centre

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

 

 WEDNESDAY 8 FEBRUARY

09:00-11:00

Places: 50

Francis Duah 

Maths Skills
Centre

Playing with SPSS before your dissertation or thesis data collection

Planning what you want and how to be sure your data formats are best suited for analysis and interpretation. 

Playing with SPSS slides (MS PowerPoint  , 591kb)

13:00-17:00

Places: 70

Michaela Smith & 
Jet Sanders

Maths Skills
Centre

Introduction to SPSS

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

 

14:00-16:00

Places: 30

Lindsey Myers

Library Research Support Team

Planning your data management for Postgraduate Research Students

Part of the PG Wednesdays programme.  The key to successfully managing your data throughout the research life-cycle; a requirement of the University and many research funders.

This workshop introduced some aspects of RDM - the successful organisation, storage, documentation and archiving/sharing of research data. There were opportunities for participants to start to plan/record data management for their own research project using the University's 'DMP template for postgraduate research projects'.

14:00-17:00

Places: 45

Francis Duah

Maths Skills
Centre

Introduction to Linear Statistical Modelling Using R

Analysing Repeated Measures Data Using R

R Workshop slides (MS PowerPoint  , 572kb)

 THURSDAY 9 FEBRUARY

10:00-11:00

Places: 20

Martin Philip

Academic Liaison Librarian - Library

Data resources: ­what's available at York and beyond?

Gave details of the data sources that the University of York subscribes to.

11:00-14:00

Places: 20 

Francis Duah

Maths Skills
Centre

Introduction to Linear Statistical Modelling Using R

Looked at the pros and cons of the system.

14:00-17:00

Places: 24

Steph Jesper

Teaching & Learning Team - Library

Survey tools (e.g. Qualtrics; Google Forms) ­ available, good and bad features, using reports

How to make software work for you. The hands-on exercises will help you understand the strengths and weaknesses of the available resources.

 FRIDAY 10 FEBRUARY

14:00-17:00

Places: 30

Francis Duah

Maths Skills Centre

Linear Mixed Models: Using R to analyse Repeated Measures Data

Linear Mixed Models slides (MS PowerPoint  , 575kb)

 

Session Details - Archive only

Session Details

Let's Make a Deal - How to make (good) decisions under uncertainty

Chris Mellor
Monday          10:30 - 12:00              Room:  C/A/140  Chemistry

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
UK Data Service Team
Monday          11:00 - 14:00             Room:  G/169 (James)

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.


Analysing Likert Scale Data - How to (Ab) use them
Francis Duah

Monday          14:30 - 17:00              Room:  H/G17  (Heslington Hall) and

Tuesday          14:00 - 16:00             Room:  A/TB/035 (Seebohm Rowntree)

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.

Playing with SPSS before your dissertation or thesis data collection
Francis Duah

Tuesday          11:00 - 13:30             Room:  A/EW/004 (Alcuin East Wing) and

 Wednesday   09:00 - 11:00             Room:  LFA/015 (Harry Fairhurst Building)

This workshop is aimed at students undertaking researcher who want to learn how to use the statistical software SPSS to conduct statistical analysis. No prior statistical knowledge is assumed. The workshop serves as an introduction to sources of authentic data for continuous practice with the functionalities of SPSS. This workshop is a practical session using SPSS and topics covered will include:

  • Sources of authentic but small datasets for often and regular practice of SPSS.
  • Methodological approach to data analysis
  • Conducting exploratory data analysis
  • Exploring differences between groups
  • Exploring association between variables
  • Exploring relationship between variables
  • Advice on advanced statistical techniques and how to access the best training in the UK higher education sector.

Introduction to SPSS
Michaela Smith and Jet Sanders
Wednesday    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.


Planning your data management for postgraduate students
Lindsey Myers
Wednesday    14:00 - 16:00              Room:  LFA/144 (Harry Fairhurst Building)

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


Introduction to Linear Statistical Modelling Using R
Francis Duah

Wednesday    14:00 - 17:00              Room:  LFA/015 (Harry Fairhurst Building) and

Thursday       11:00 - 14:00              Room:  D/114 (Derwent PC Room)

This workshop is aimed at students undertaking researcher 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
    • 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

Data resources: ­what's available at York and beyond (e.g. social and economic data resources)
Martin Philip
Thursday       10:00 - 11:00              Room:  S/LB/102 (Spring Lane Building)

In this session you will be introduced to a number of data sources that we subscribe to at York such as The Statesman's Yearbook, Passport GMID and more.

We'll also pick out some of the best free resources available on the internet. We will be looking at finding the data not interpreting it and we're not going to teach survey design or measurement technique.


Survey tools (e.g. Qualtrics; Google Forms) available tools for research
Steph Jesper
Thursday       14:00 – 17:00              Room:  RCH/018  (Ron Cooke Hub, East Campus)

In this 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 Mixed Modelling Using R: Analysis of Experimental Data
Francis Duah
Friday             14:00 - 17:00              Room:  A/EW/004 (Alcuin East Wing)

This workshop is aimed at students undertaking research who want to learn how to use the statistical software R to conduct statistical analysis of experimental data.

No prior knowledge of R or statistics is assumed. However, participants are more likely to understand the material if they attend one of the "Introduction to Linear Statistical Modelling Using R" workshops on either Wednesday (08-Feb-17) or Thursday (09-Feb-17). The topics covered using R will include:

  • When to Use Linear Mixed Models and How to Use Them
  • Differences between Linear Regression and Linear Mixed Model syntaxes in R
  • Formatting Repeated Measures Data - Long Format versus Wide Format
  • Random Effects and Fixed Effects
  • A Interpretation of the Linear Mixed Model output in R
  • Advantages of using R to Analyse Repeated Measures Data
  • Add-ons and Packages in R

 

Booking details - Archive only

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 behave courteously.  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 by your fellow scholars.

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/