This workshop programnme, delivered through Microsoft Teams, is perfect for students at all levels of study who are (or are about to) undertaking a quantitative research project in the university. Whether you're completely new to statistics or looking to deepen your understanding, this hands-on online workshop series will help you confidently analyse your research data.

These workshops guide researchers through developing a methodology and hypotheses, generating descriptive statistics, conducting hypothesis testing, and checking assumptions. You'll also learn how to perform a variety of statistical analyses using SPSS, with skills that can easily be applied to other tools like JASP and STATA. Additionally, we provide guidance on writing your results in APA format and incorporating effective tables and charts into your research project.

No prior knowledge of quantitative statistics or SPSS is required. My goal is to make statistics logical, simple, and accessible for all researchers at BU, regardless of your previous experience. After each session, you'll have access to comprehensive class notes, sample data, and PowerPoint presentations to support your learning. Plus, you're welcome to book a one-on-one consultation with me to discuss the specifics of your own research.

The sessions will commence on Thursday 9^th October, from 10 am to 12 pm, and will recur every Thursday for 10 weeks through this semester (You do not have to attend all sessions).

This semester's Quantitative Analysis & Statistics program includes the following topics:

1 Introduction to Statistical Analysis (Thursday 9^th October 10am)

2 Managing and Manipulating data in SPSS - preparing for analysis (Thursday 16th October 10am)

3 Introduction to Null Hypothesis Significance testing and P values (Thursday 23rd October 10am)

4 Introduction to T test analysis (Thursday 30th October 10am)

5 Introduction to ANOVA analysis (Thursday 6th November 10am)

6 Introduction to Correlation and Regression analysis (Thursday 13^th November)

7 Nonparametric Testing part A (Thursday 20th November)

8 Nonparametric Testing part B (Thursday 27th November)

9 Factor Analysis (Thursday 4^th December 10am)

10 Discriminant Function Analysis (Thursday 11th December 10am)

For more information on statistics and course contents see the Academic Skills Hub Brightspace

Reserve your place via our LibCal booking link below, (places are limited)

Participants will receive additional details and the Teams link prior to the programme's commencement on Thursday 9^th October

For further information on booking and course details please email statistics@bournemouth.ac.uk

I hope to see you there.
steve s

Senior Statistics Tutor, BU.