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 […]
Working with R in SPSS Part 1: The Basics Read More »
Statistical techniques
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,
Working with R in SPSS Part 2 – Working with R Packages Read More »
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
Working with R in SPSS Part 3 – Creating Custom Dialogs Read More »
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
Working with R in SPSS Part 4 – Adding options to Custom Dialogs Read More »
What is correlation and when is it useful?
Correlation is a term that we employ in everyday speech to denote things that appear to have a mutual relationship.
What is correlation and when is it useful? Read More »
What is a Chi Square test and when would you use it?
The chi-squared test is used to examine differences with between fields with different categories and to determine whether those differences are significant.
What is a Chi Square test and when would you use it? Read More »
What is the difference between the various types of statistical models?
The real world, whether it be the physical world, for example machines, or the natural world, for example human and
What is the difference between the various types of statistical models? Read More »
How do I choose the correct statistical test?
When you’re conducting any kind of statistical analysis, it’s vital that you select the correct tests to perform, given the
How do I choose the correct statistical test? Read More »
Understanding correlation
This is the latest in our ‘eat your greens’ series – a back to basics look at core statistical concepts
Understanding correlation Read More »
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 gateway to inference – the standard error and confidence intervals Read More »
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
Are algorithms evil?
None of us can have failed to notice the recent debacle over Ofqual’s (the Office of Qualifications and Examinations Regulation)
Are algorithms evil? Read More »
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
What’s ‘standard’ about a standard deviation? Read More »
Testing versus inferring
This is the second post in our ‘eat your greens’ series – a back to basics look at some of
Testing versus inferring Read More »
Are Log scales appropriate for COVID-19 Charts?
You may have noticed that many media outlets are illustrating the tragic course of the coronavirus (COVID-19) pandemic by employing
Are Log scales appropriate for COVID-19 Charts? Read More »
An overview of the four main approaches to predictive analytics
This infographic provides an overview of the four main families of approaches to predictive analytics. Prediction encompasses applications that aim
An overview of the four main approaches to predictive analytics Read More »
Statistics in court: the story of a dataset
Like a lot of consultants working in the analytics industry, I’ve built up an extensive portfolio of materials to illustrate
Statistics in court: the story of a dataset Read More »
7 things you need to know about key driver analysis (KDA)
In most businesses it’s not enough to simply be measuring outcomes like customer satisfaction, sales, customer churn rates, subscription renewals,
7 things you need to know about key driver analysis (KDA) Read More »
What do we mean when we talk about data modelling? An overview of different types of models
The real world, whether it be the physical world, for example machines, or the natural world, for example human and
What is a chi-squared test and when would you use it?
An in depth guide to using the chi-squared test to determine statistical significance.
What is a chi-squared test and when would you use it? Read More »
What is correlation and why is it useful?
What is correlation? Correlation is a term that we employ in everyday speech to denote things that appear to have
What is correlation and why is it useful? Read More »
What do your customers care about most? Using key driver analysis to find out.
After basic significance tests, T-tests, Z-tests and so on, key drivers analysis (KDA) is probably the second most popular statistically-based technique in market
What do your customers care about most? Using key driver analysis to find out. Read More »
What makes for good data visualisation?
Data visualisation is a hot topic at the moment. And with good reason: a picture paints a thousand words … and the
What makes for good data visualisation? Read More »
