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Correlation and Regression - Online Online

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, 10th October, from 10 am to 12 pm, and will recur every Thursday throughout this semester.

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

1 Introduction to Statistical Analysis (10th October 10am)
2 Managing and Manipulating data in SPSS - preparing for analysis (17th October 10am)
3 Introduction to Null Hypothesis Significance testing and P values (24th October 10am)
4 Introduction to T test analysis (31st October 10am)
5 Introduction to ANOVA analysis (7th November 10am)
6 Introduction to Correlation and Regression analysis (14th November 10am)

7 Nonparametric Testing part A (21st November 10am)

8 Nonparametric Testing part B (28th November 10am)

9 Expoloratory Factor Analysis (Extra workshop) (5th December 10am)

10 Discriminant Function Analysis (Extra workshop) (12th December 10am)

For more information on course contents see the Academic Skills Hub Brightspace: https://brightspace.bournemouth.ac.uk/d2l/le/lessons/336220/folders/2083887

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

Participants will receive additional details and the Teams link prior to the programme's commencement on the 10th October.

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

I hope to see you there.

steve s

Dates & Times:
10:00am - 12:00pm, Thursday, October 10, 2024
10:00am - 12:00pm, Thursday, October 17, 2024
10:00am - 12:00pm, Thursday, October 24, 2024
10:00am - 12:00pm, Thursday, October 31, 2024
10:00am - 12:00pm, Thursday, November 7, 2024
10:00am - 12:00pm, Thursday, November 14, 2024
10:00am - 12:00pm, Thursday, November 21, 2024
10:00am - 12:00pm, Thursday, November 28, 2024
10:00am - 12:00pm, Thursday, December 5, 2024
10:00am - 12:00pm, Thursday, December 12, 2024
Time Zone:
UK, Ireland, Lisbon Time (change)
Online:
This is an online event. Event URL will be sent via registration email.
Categories:
  Quantitative Statistical Analysis  

Registration is required. There are 63 seats available.

Event Organizer

Steve Smith

steve s

IT Learning Support

T122 Talbot House