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.
Exploring the grammatical structure of syntax procedures
Explains what the DATASET ACTIVATE command does and explores the grammatical structure of syntax procedures.
Getting help with SPSS syntax
Shows how to add comments to syntax without creating errors and explains how to use syntax Help resources to run different procedures.
Useful syntax procedures
Shows how read different data files with syntax, how to create and add labels to variables and how to recode data using syntax.
Different methods for filtering data using syntax
Explores different methods for filtering data and introduces the TEMPORARY command.
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.
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 R in SPSS Part 1: The Basics
In this four-part blog series, we’re going to take a look at working with R in SPSS. We’ll begin by exploring the basics of running R procedures in SPSS syntax and end up showing you how to create your own SPSS custom dialogs based on R code. We’re able to run R code in SPSS …
Working with R in SPSS Part 2 – Working with R Packages
In the previous blog post, we looked at the basics of running R procedures in SPSS syntax. In this post, we’re going to explore how to work with R packages. Packages are collections of functions and pre-built compiled code that enable R users to carry out a vast range of analytical and data manipulation tasks. …
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Working with R in SPSS Part 3 – Creating Custom Dialogs
Previously, we explored how to install and load an R package to generate correlograms by executing R code within SPSS syntax. In this post, we’re going to look at how we can build a custom dialog in SPSS Statistics that encapsulates much of our previously created code and allows us to share the procedure with …
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Working with R in SPSS Part 4 – Adding options to Custom Dialogs
In the previous blog post, we created a basic custom dialog using R code in SPSS Statistics that allowed us to generate a visual representation of a correlation matrix i.e., a correlogram. In this final posting, we will see how to add a number of additional elements that control the styling and appearance of the …
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Introduction to the Neural Network module in SPSS Statistics – part two
In this two-part video series Jarlath Quinn explores how to work with the Neural Networks module in SPSS Statistics (watch part one here) Part 2: Shows how to create a partition variable to control which cases are used in Training and Testing Explores the effect of choosing different activation functions Explains and demonstrates different model training …
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Introduction to the Neural Networks module in SPSS Statistics – part one
In this two-part video series Jarlath Quinn explores how to work with the Neural Networks module in SPSS Statistics. Watch part two here. Part 1: Introduces the concept of Neural Networks Shows how to build a basic Neural Network model to predict credit worthiness Explains the how to interpret the default output generated by the procedure
Background to SPSS and PS IMAGO
PS Imago Pro is a result of the mature and long established IBM SPSS Partner Ecosystem. IBM encourages its partners to use their skills and expertise to develop additional functions and features that further enhance the core SPSS product that IBM offers, without diluting any of the existing functionality of that core product.
How to solve the most common data cleaning problems in SPSS Statistics
Here are a list of some of the most common data cleaning problems that you are likely to encounter and which SPSS procedures help to resolve them.
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 …
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.
