Regression Analysis in SPSS
Duration 1 day
Training Units 1.0
Team Researcher Academy

Target audience: This course is for Postgraduate Research Students & Research Staff in the Faculty of Medicine and Health Sciences only  The examples and sample data are from the medical and health sciences disciplines. Researchers from other faculties should email the convenor (mhsgc@nottingham.ac.uk) to request a place on the course before booking.

Pre-requisites:
To attend this course you must have prior knowledge of both 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 attend the Introduction to Statistics with SPSS (classroom) or Introduction to SPSS (online) course in advance of booking/attending.

Participants who have not completed an introductory course in SPSS/statistical analysis must provide evidence of prior knowledge and level of competency in advance of the course (completion of undergrad/masters-level module and/or work-based experience). Email mhsgc@nottingham.ac.uk as soon as possible with subject field 'Regression Analysis SPSS (MHSRAT)'.

If you do not confirm, by 20 March, your booking will be cancelled and your place allocated to someone else.

Process: Lecture and practical exercises in SPSS.

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

Related courses
M&HS Faculty Training Programme/N-trans

Introductory courses:

Advanced level courses (requiring an intermediate level of knowledge/experience): 

Researcher Academy Researcher Development Programme

• Introduction to quantitative research
• Introduction to qualitative research
• Statistical test advisor (an online tool)
• Introduction to Research Data Management
 
Booking Guidelines       

Latecomer policy
Researchers should plan to arrive prior to the advertised course start time. Except for exceptional reasons, there will be no admittance to a Researcher Academy or Faculty Training Programme (FTP) course 15 minutes after the advertised course start time.

Importance of booking commitment
When booking on to a Researcher Academy short course you are entering into a commitment to attend. If you find that you are no longer available to attend you MUST cancel your place (on the system if more than three days before the course or if at short notice by emailing pg-training@nottingham.ac.uk). This will ensure that your place can be offered to another researcher on the waiting list. Failure to cancel a place results in other researchers missing out on places through the waiting list process.


It is unacceptable for researchers to just not attend when booked onto a course. Researcher Academy maintains records of those who repeatedly do not attend courses they have booked. This may affect future eligibility to book onto further Researcher Academy courses and will affect considerations for Researcher Academy funded opportunities.

Please note, there is an online version of this course. To view the online course description, visit https://training.nottingham.ac.uk/Guests/GuestCourse.aspx?CourseRef=MHSRATW&dates=

 

Pre-Requisites

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 attend the Introduction to Statistics with SPSS (classroom) or Introduction to SPSS (online) course in advance of booking/attending.

Participants who have not attended these introductory courses must provide evidence of prior knowledge and level of competency in advance of the course. Email mhsgc@nottingham.ac.uk as soon as possible with subject field 'Regression Analysis SPSS (MHSRAT)'.

If you do not confirm, your booking will be cancelled and your place allocated to someone else.

 

LocationStart DateAll DatesTimesPlaces AvailableBook