This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to:

Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques.

Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results.

Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS.

Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data.

Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away.

Participants should have an understanding of elementary statistics equivalent to the syllabus of Fundamentals of Statistics. This course requires students to follow instruction in running and interpreting a range of statistical procedures. It is assumed that participants will have little or no familiarity with at least some of the procedures presented.

Students may take this course using one of two statistical packages, SPSS or jamovi. No prior knowledge of either SPSS or jamovi is required. SPSS is a menu driven large statistical package that many participants may have available through their university or workplace. Jamovi is a free and downloadable package (https://www.jamovi.org). It is a user-friendly menu driven version of R, that is very easy to learn. Demonstrations will include both SPSS and jamovi and students may use either.

The level of this course falls between ‘Fundamentals of Statistics’, and the more detailed single procedure-based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. On completing this course you should be able to read and understand literature where these procedures are reported, select the appropriate statistical procedure for research, run the procedure, and report the results from an informed base of understanding.

You will need zoom and your preferred software software, either SPSS or jamovi.

Training in this course will be for 3 x 1.5 hour sessions per day over ZOOM.

Questions are encouraged. There will be lecture contact, small group practice and workshop time.

Individual consultation sessions will be for 30 minutes to an hour for each participant by appointment.