Introducing survival analysis
This video looks at the key concepts that underpin survival analysis such as time-to-event data, censored cases and the different survival analysis procedures available in IBM SPSS Statistics.
Exploring the life tables procedure
This video explores the Life Tables procedure and introduces many of the key concepts of survival analysis such as cumulative survival, hazard rates and survival curves
The Kaplan Meier procedure
This video looks at the non-parametric Kaplan Meier procedure including tests of equality of survival distributions and the difference between survival and hazard functions.
Introduction to Cox regression
This video introduces the Cox Regression method and explains the proportional hazards model. Shows how to interpret the output from Cox Regression using a simple model with a single predictor.
Cox regression with multiple variables
This video shows how to create a more complex Cox Regression model. Also introduces the Cox Regression with Time Dependent Covariates procedure.
Introducing Bayesian analysis with SPSS
Explores the historical and theoretical context of the classical ‘Frequentist’ statistical approach and its Bayesian counterpart.
Prior probabilities and Bayes’ theorem
Introduces the concept of Prior Probabilities and how these are utilised in Bayes Theorem.
Bayesian Estimation and Hypothesis Testing in SPSS
Introduces credible intervals and the use of Bayes Factor as an alternative to P values.
Performing Bayesian Analyses in SPSS
Shows how to perform a Bayesian Analysis in SPSS Statistics and how to interpret the output.
What’s new in IBM SPSS Statistics v29?
In September this year, IBM released the latest version of SPSS Statistics. Version 29 introduces some new analysis procedures and includes more recent versions of R and Python Parametric Accelerated Failure Time (AFT) Models Version 29 brings a new addition to the SPSS family of Survival analysis procedures. Unlike the existing Life Tables, Kaplan-Meier and …
Automating and scheduling jobs with SPSS syntax
Shows how to automate syntax jobs with the Production facility and creating batch scheduled jobs for timed execution.
Working with variables in SPSS syntax
Introduces the TO and ALL commands, working with temporary variables, renaming and deleting variables, reading or saving data with the DROP and KEEP subcommands and modifying output with syntax.
Working with SPSS Custom Tables
In this series of videos, Jarlath Quinn explores the rich tabulation functionality In the SPSS Custom Tables module.
Adding Scale variables, formatting and labels
In this series of videos, Jarlath Quinn explores the rich tabulation functionality In the SPSS Custom Tables module.
Percentages, totals and layers
In this series of videos, Jarlath Quinn explores the rich tabulation functionality In the SPSS Custom Tables module.
Performing tests of significance
A video guide to performing tests of significance in the SPSS Custom Tables module.
Working with rating scales
In this series of videos, Jarlath Quinn explores the rich tabulation functionality In the SPSS Custom Tables module.
Working with multiple response variables in SPSS Custom Tables
In this series of videos, Jarlath Quinn explores the rich tabulation functionality In the SPSS Custom Tables module.
Introduction to linear regression
In classical statistics, linear regression is regarded as the ‘gateway to predictive modelling’. For decades students have been taught about regression from theory to practice simply because it still one of the most versatile and simple ways to understand and predict the effect of key factors on critical outcomes.
Modelling non-linear relationships with SPSS
In this video Jarlath Quinn shows how you can move beyond simple linear regression to model curvilinear relationships using techniques such as variable transformations and quadratic regression before finally exploring how log-log regression can be used to model price elasticity of demand.
An introduction to moderation analysis
The video explores moderation analysis, which enables analysts to identify interaction effects that alter the relationship between a dependent and independent variable.
An introduction to mediation analysis
This video explores mediation analysis – an analytical approach used to test if a third factor could represent the underlying cause of a relationship between an independent and dependent variable.
Cloud AI at the cutting edge: taking DataRobot for a spin
Smart Vision Europe recently announced an exciting new partnership with DataRobot, a rapidly rising player in the data science market with ambitions to be the de-facto leader of cloud-based AI for all. Over the past few months, I’ve been playing around with the platform, and I must say I am thoroughly impressed with what I …
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What’s new in SPSS Statistics 28.0.1?
IBM has just announced the general availability of IBM SPSS Statistics 28.0.1. This modification release introduces new statistical tests, enhancements to existing procedures and functional enhancements that will improve everyday usability. In this blog post we outline some of the new features and functionality. New statistical procedures and algorithm enhancements Kernel Ridge Regression As part …
What’s new in IBM SPSS Modeler 18.3?
SPSS Modeler is a robust data science software for professional analysts and data scientists. The software scales from supporting line-of-business predictive analysis to enterprise-scale implementation.Consisting of IBM SPSS Modeler Desktop 18.3 and IBM SPSS Modeler Server 18.3, SPSS Modeler delivers a robust predictive analytics solution for a holistic approach to predictive analytics. It brings predictive intelligence to decisions made by individuals, …
What’s new in SPSS v28?
IBM is about to release the latest version of SPSS Statistics. Here’s a summary of some of the new enhancements that existing users can look forward to. Meta-analysis Meta-analysis is a well-established analytical approach that combines the results from a range of studies with a view to estimating the effect size of the treatment in question. …
Failure to launch: the hard realities of AI
A fascinating recent report by MIT Sloan in collaboration with BCG has confirmed what many industry insiders have known for years: only a small minority of companies manage to make their initial AI projects succeed. Based on global survey of more than 3,000 managers and scholars in 29 industries, the report’s authors discovered that only …
Introduction to Power Analysis
In this series of ‘eat your greens‘ posts looking at core statistical concepts in more detail, we have looked closely at what a test of statistical significance actually is. In particular, we have focused on how to interpret the statistical probability value that various tests generate. This value, often labelled ‘P=’, ‘Prob’ or ‘Sig.’ in …
What’s new in SPSS v27.0.1.0?
IBM have released a new update to SPSS v27. Interestingly, this is a ‘dot’ release that contains a number of useful functional improvements rather than the usual bug fixes or third-party compatibility enhancements. The new procedures include three additional statistical tests for comparing differences in proportions. These procedures were introduced as syntax only commands in …
Introduction to structural equation modelling with SPSS Amos – part one
In these videos Jarlath Quinn introduces the concept of Structural Equation Modelling with SPSS AMOS. In the first video Jarlath uses the example of creating a simple linear model to illustrate the functionality in the AMOS interface.
Introduction to structural equation modelling with SPSS Amos – part two
In these videos Jarlath Quinn introduces the concept of Structural Equation Modelling with SPSS AMOS. In the second video Jarlath shows how to perform a basic Confirmatory Factor Analysis in AMOS.
Making sense of significance tests
A worked example of a classic inferential statistical procedure: the independent samples t-test.
Understanding correlation
This is the latest in our ‘eat your greens’ series – a back to basics look at core statistical concepts that are often misunderstood or misapplied. In everyday speech the term ‘correlation’ refers to a mutual connection or relationship between two things. In statistics correlations are specific measures or values that attempt to quantify the …
The gateway to inference – the standard error and confidence intervals
This is the fifth post in our ‘eat your greens’ series – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this post we’ll look in more depth at the concept of the standard error and confidence intervals. In …
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Finding normality – why is the normal distribution so important when we so rarely encounter it in real life?
This is the fourth post in our ‘eat your greens’ series – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this post we’ll look in more depth at the concept of the normal distribution. One of the first …
Multivariate analysis with Camo Analytics Unscrambler part one
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Multivariate analytics with Camo Analytics Unscrambler part two
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Multivariate analysis with Camo Analytics Unscrambler part three
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Multivariate analysis with Camo Analytics Unscrambler part four
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Are algorithms evil?
None of us can have failed to notice the recent debacle over Ofqual’s (the Office of Qualifications and Examinations Regulation) use of an algorithm to predict pupil grades. Once again, ‘algorithm fever’ has generated a flurry of news articles questioning whether we are sleepwalking into a dystopian future where human expert decision-making is replaced with …
What’s ‘standard’ about a standard deviation?
This is the third post in our ‘eat your greens’ series – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this post we’ll look in more depth at the concept of the standard distribution. I’m often struck by …
Testing versus inferring
This is the second post in our ‘eat your greens’ series – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this post we’ll look in more depth at the concept of testing versus inferring. One of most daunting …
Just because something is statistically significant doesn’t mean it’s practically significant
What do we mean when we say something is statistically significant? A guide to one of the most misused concepts in statistics.
What’s new in IBM SPSS Statistics v27?
In June of this year, IBM released the latest version of SPSS Statistics. Version 27 introduces several additional analysis procedures as well as new system enhancements. In this report we take a tour of some of the most valuable improvements that have been made. There’s a video of this tour here as well. Bootstrapping and …
The basics of SPSS syntax
SPSS Syntax has long been exploited by expert analysts due to its flexibility, power and ease of learning. Syntax vastly increases users’ productivity by making it easier to automate commonly used procedures.
