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SPSS and statistics: 1 DAY TRAINING

This course is designed to develop the skill and confidence needed to select the correct statistics to analyse your data and to draw informed conclusions; to understand when and how to use Chi-squared, Ttest, and One-way Analysis of Variance (ANOVA), Correlation and Regression.

Aimed at

Researchers (mid stage, final stage)

Pre-requisites

Participants on this course should have had an introduction to SPSS software.

Participants are encouraged to bring data files they wish to analyse.

Joining instructions

Before attending this 1-day workshop,

View the online video tutorials, recommended by the Trainer at: http://people.cst.cmich.edu/lee1c/spss/toc.htm

Time will be set aside to examine each participant's data and provide suggestions and corrections.

Key learning outcomes

By the end of this training, participants will be able to:

  • Recognise the difference of data types- categorical (nominal and ordinal) and continuous.
  • Understand data types and their relationship to the choice of summary and inference statistics.
  • Understand the assumptions of using parametric or non-parametric tests
  • Learn when and how to use parametric tests such as chi-squared, Ttest, ANOVA, Correlation and Regression and the non-parametric equivalents.
  • Learn how to establish a statistical significant finding and how to report it. 

Presented by

Elizabeth Wiredu, Data Solutions Services

Specific skills focused on in this session

Research and information literacy

Health and Safety and general notice

Participants will be viewing presentations projected onto a SMART Board screen. Participants will be required to use a desktop PC or laptop during the workshop. 

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Brunel 3D Development Tool

Develops the following:

Skills needed to do your research and career

Researcher Development Framework (RDF) Competencies

Develops skills relevant to the following domains of the RDF:

This workshop is provided by

Brunel Graduate School Logo

Email address graduateschool@brunel.ac.uk Telephone number 01895 265935