Events Search and Views Navigation
June 2024
Getting started with SPSS Statistics
You are invited to join us for this free educational event in which you’ll learn about IBM SPSS Statistics – one of the most highly-regarded analytical software platforms. There’s a lot of talk about big data and predictive analytics at the moment, and IBM SPSS Statistics is at the forefront of this current wave of interest as one of the most powerful yet accessible analytics tools available. If you’ve been thinking about how your organisation could benefit from predictive analytics…
Find out more »How to interpret significance tests
What do so called ‘significance tests’ signify? In this webinar Jarlath Quinn will unpack the reasoning and theory associated with p values, null hypotheses and the whole idea of using statistics to carry out ‘tests’
Find out more »Performing Bayesian analyses in SPSS
In this webinar Jarlath Quinn explores Bayesian approaches to statistical analysis and shows how to perform and interpret a Bayesian tests in SPSS. Content includes: The historical and theoretical context of the classical ‘Frequentist’ statistical approach and its Bayesian counterpart The concept of Prior Probabilities and how these are utilised in Bayes Theorem Credible intervals and the use of Bayes Factor as an alternative to P values How to perform a Bayesian Analysis in SPSS Statistics and how to interpret…
Find out more »September 2024
Getting started with SPSS Statistics
You are invited to join us for this free educational event in which you’ll learn about IBM SPSS Statistics – one of the most highly-regarded analytical software platforms. There’s a lot of talk about big data and predictive analytics at the moment, and IBM SPSS Statistics is at the forefront of this current wave of interest as one of the most powerful yet accessible analytics tools available. If you’ve been thinking about how your organisation could benefit from predictive analytics…
Find out more »Data cleaning with SPSS Statistics
In this free educational webinar Jarlath Quinn shows how clean and prepare data for analysis using standard functionality in SPSS Statistics. Jarlath will demonstrate: Identify and remove duplicate cases Flag variables containing excessive missing data Identify extreme values and anomalous cases Create rules to check for out-of-range values or illogical relationships Quickly update and change variable and value labels Create syntax jobs to automatically correct errors Book your free place now.
Find out more »Getting started with regression techniques in SPSS Statistics
Register now for this free webinar You are invited to join us for this free educational event focusing on the application and value of regression techniques in the IBM SPSS Statistics products. The session will give you a straightforward overview of how simple regression techniques can help your business and how to get started with regression analysis in SPSS. In just one hour you will learn how easy it is to perform simple but powerful regression analysis using IBM SPSS…
Find out more »November 2024
Getting started with SPSS Statistics
You are invited to join us for this free educational event in which you’ll learn about IBM SPSS Statistics – one of the most highly-regarded analytical software platforms. There’s a lot of talk about big data and predictive analytics at the moment, and IBM SPSS Statistics is at the forefront of this current wave of interest as one of the most powerful yet accessible analytics tools available. If you’ve been thinking about how your organisation could benefit from predictive analytics…
Find out more »How to interpret significance tests
What do so called ‘significance tests’ signify? In this webinar Jarlath Quinn will unpack the reasoning and theory associated with p values, null hypotheses and the whole idea of using statistics to carry out ‘tests’
Find out more »Performing Bayesian analyses in SPSS
In this webinar Jarlath Quinn explores Bayesian approaches to statistical analysis and shows how to perform and interpret a Bayesian tests in SPSS. Content includes: The historical and theoretical context of the classical ‘Frequentist’ statistical approach and its Bayesian counterpart The concept of Prior Probabilities and how these are utilised in Bayes Theorem Credible intervals and the use of Bayes Factor as an alternative to P values How to perform a Bayesian Analysis in SPSS Statistics and how to interpret…
Find out more »