Intermediate Statistics - Virtual Classroom

Date: Friday 04 December 2020, 10.00AM - 4.30PM
Location: Online
CPD: 6.0 hours
RSS Training
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Multiple linear regression is one of the most commonly used techniques in statistics and allows for the impact of multiple variables to be assessed simultaneously. The analysis of variance (ANOVA) is a related technique which allows the mean values of several groups to be compared. This course will equip participants with the skills necessary to undertake both types of analysis using free software, understand and interpret the output, check the assumptions that underpin each type of model, and present the results coherently. 
 

Course Outline

Multiple linear regression is one of the most commonly used techniques in statistics and allows for the impact of multiple variables to be assessed simultaneously. The analysis of variance (ANOVA) is a related technique which allows the mean values of several groups to be compared. This course will equip participants with the skills necessary to undertake both types of analysis using free software, understand and interpret the output, check the assumptions that underpin each type of model, and present the results coherently.
 

Learning Outcomes

By the end of this course the attendees will:       

  • Understand what is meant by the term Analysis of Variance (ANOVA) and the different ANOVA models available

  • Assess when it is appropriate to fit an analysis of variance

  • Interpret the result s of an analysis of variance

  • Assess model fit

  • Present the results of an analysis of variance

  • Understand what is meant by the term multiple linear regression

  • Assess when it is appropriate to fit a multiple linear regression model

  • Carry out a regression analysis using free software

  • Interpret the results of a multiple linear regression analysis

  • Assess model fit

  • Present the results of a multiple linear regression analysis     
     

Topics Covered

The morning will start with a brief recap on the concepts of hypothesis testing and choosing the right test. This will include the basic use of Jamovi to carry out and interpret an independent t-test before progressing to the related technique ANOVA.  Assumption checking, two-way ANOVA’s and interactions will conclude the morning.
The afternoon starts with correlation and simple linear regression to assess the relationship between two continuous variables before concentrating on multiple regression which allows multiple variables to be tested simultaneously. Both sessions will concentrate on producing and understanding outputs rather than mathematical content with regular exercises to reinforce learning.
 

Target Audience

This course is aimed at individuals who have some basic statistical knowledge and who wish to undertake analyses of quantitative data and who therefore wish to gain some insight into how to undertake these.
 

Knowledge Assumed

Basic statistical knowledge as the course is designed as a follow-on from our Basic Statistics course.

Delegates will need to download the latest version of Jamovi onto their laptop and bring this to the course as this will be used during the workshop: https://www.jamovi.org/download.html

 

Ellen Marshall

Ellen Marshall is the statistics co-ordinator in the Maths and Statistics Help Centre (MASH) at Sheffield University. Ellen has extensive experience of giving students one-to-one help with the statistics required for their studies and in writing and presenting workshops on statistics at all levels and different groups of people. Previous experience includes 10 years of teaching statistics to non-statisticians, inter-disciplinary research associate positions and statistical consultancy. Winner of two awards for learning and teaching: Innovation in Academic skills development (internal-students union award) & Sigma Outstanding Contributor in the field of Maths and Statistics Support (national) listed presenters for assistance during worked examples or computing practicals.

 

Fees

   

Registration before
 4 November 2020

 

Registration on/after
 4 November 2020

                                  

Non Member 

RSS Fellow 

RSS CStat/Gradstat also MIS & FIS

 

£392.00+vat 

£332.00+vat 

£314.00+vat

£435.00+vat 

£370.00+vat 

£349.00+vat

 
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