This online course is run by the Researcher Academy as part of the Faculty of Medicine and Health Sciences N-Trans Training Programme

Target Audience: This course is part of the M&HS Faculty Training Programme and N-trans training programme, which are convened by Researcher Academy.

Postgraduate Research Students and Research Staff in the Faculty of Medicine and Health Sciences only. Researchers who are based in other faculties, and who are undertaking health and medical-related research may access the online lecture capture resources. If you wish to join the practical web-based session, please email Researcher Academy with 'MHSRAT' in the title to request a place, as soon as possible and no later than 5 working days before the course date.

Pre-requisites:

This course is aimed at students and researchers who have a good grasp of basic statistics including the ideas of sampling variability, measures of effect (e.g. odds ratio and mean difference) and tests of statistical significance (e.g. chi-squared test and t-test) and familiarity with SPSS.

This course covers advanced level statistical methods and advanced level usage of statistical software. There will be no opportunity to cover the basics of statistics or SPSS during the workshop. If you are not familiar with SPSS you must complete prior training in SPSS (visit the Researcher Academy Training pages for suggested online course).  

Participants who have not attended these introductory courses or have prior working knowledge of the software are unlikely to benefit from attending this course until they have the basics. There is no time during the session to cover introductory questions. Access to the course resources will be restricted until confirmation of prior knowledge is logged on the course's Moodle page.

Course Description:

Aims:

• To provide understanding of the purpose of multivariate regression models
• To provide knowledge of two important regression models; linear and logistic regression
• To provide practical skills in building and interpreting linear and logistic regression models in SPSS

Learning outcomes:

• Appreciate the different situations in which we might need to use multivariable regression analyses
• Know when it is appropriate to use two of the common multivariable regression models, linear and logistic regression.
• An understanding of how to build, and interpret the output from a multiple linear regression model in SPSS
• An understanding of how to build, and interpret the output from, a multiple logistic regression model in SPSS
• An understanding of approaches to building a model to adjust for confounders
• An understanding of approaches to building a model to best predict an outcome

This online version of ‘Regression Analysis in SPSS’ is scheduled for two half day sessions and is recommended to be completed in full during these scheduled day. However, the pre-recorded lectures may be watched in advance and the participant join the four live streamed practical sessions at the designated time. 

To have access to the course materials you must demonstrate prior experience of SPSS and then to gain training points/attendance mark for completion of this course you must have accessed the lecture materials at least 1 day prior to the scheduled practical session date AND then log in online to Teams and complete the practical session on the scheduled date. The timings of the session will be sent to participants in their booking confirmation email.

How to receive training points/full attendance mark

Complete all 4 blocks of lecture recordings, and all practical/Q&A live sessions.

For participants with work/caring commitments who need greater flexibility in their day, the online course may be completed in smaller sections. In this case, the lecture recordings should be watched in advance and then log in to participate in the 4 live-streamed practical sessions at the correct time. The scheduled timings below indicate the total duration of the course. All four practical sessions must be attended to receive certificate of attendance.

Please note, the classroom based version of this course was 1 day in duration.

Process:

Online learning environment- lectures and practical computer based tasks.

Participants will need their own laptop/PC with SPSS software downloaded and an internet connection. The course will be delivered via Moodle and Microsoft Teams.

Course Accessibility

The following table shows a summary of what is needed to participate in the course. 

If you feel you will experience any difficulties participating, please let us know via the ‘special requirements’ tab, providing as much information as possible. The special requirements tab can be completed when you book your place. Alternatively, you can contact us directly at ra-training@nottingham.ac.uk.

Access and/or complete self-study/ pre-course tasks prior to main session(s) on Moodle
Access Moodle for self study
Access MS Teams for webinar
Attend the webinar at the specified date and time
Participate in several online platforms at one time
Use MS Teams chat box function during webinar
Engage with online materials
Watch and listen to the course tutor(s) and/or other attendees
Follow presentation slides during the course
Take part in group activities/ discussions

Booking Conditions 

Our webinars/ online courses are very popular, especially in the current period and we are experiencing large volumes of people on our waiting lists.  

Please do let us know if you would like to cancel your place on this course so we can offer your place to another delegate. 

Please note, attendances for webinars/ online courses will still be recorded and corresponding training points, when shown as available, will be awarded.

Pre-Requisites

How to Access Course Resources

To access the online training course resources, live streamed practical session timings, and full instructions on how to join the course visit Moodle here:
https://moodle.nottingham.ac.uk/course/view.php?id=91262

The course's Moodle page contains the pre-recorded lectures and joining links for the live practicals. It is advised that you familiarise yourself with the course instructions by visiting the Moodle page as soon as possible. To view the course resources you will need to complete the 'prior experience in SPSS' quiz provided on the course's Moodle page.

Cut off for first enrolment on the Moodle page is 1 day before the 1st scheduled practical session.