Video guides
We have a range of different videos on our site that we hope you will find helpful, from how to perform basic functions in SPSS Statistics, to overviews of the functionality in each module, through to the details of text mining in SPSS Modeler or predictive operational analytics. If the topic you’re interested in isn’t covered here please drop us a note and let us know – we’re regularly adding to our video content.
If you’re not sure where to start with these videos we have a guide to our SPSS Statistics videos that outlines what’s available and shows you where to start.
How to…in SPSS Statistics
If you’re new to SPSS then this series of videos shows you how to get started with some of the most common procedures that people ask us about.
- How can I weight data in SPSS Statistics?
- How to change the appearance of your output in SPSS Statistics
- How to merge files in SPSS Statistics
- How to create grouped or banded variables in SPSS Statistics
- How to recode your data in SPSS Statistics
- How to check your data for normality in SPSS Statistics
- How to calculate with dates in SPSS Statistics
- How to select cases in SPSS Statistics
- How to reverse a scale in SPSS Statistics
- How to combine variables in SPSS Statistics
- How to work with variable sets in SPSS Statistics
- How to change the defaults in SPSS Statistics
How to…in SPSS Modeler
These videos show you how to get to grips with some of the most useful functions of SPSS Modeler
- A first look at SPSS Modeler v18.2
- Introduction to the filter node in SPSS Modeler
- Introduction to the generate menu in SPSS Modeler
- Introduction to the data audit node in SPSS Modeler
- What If Analysis using IBM SPSS Modeler Premium
- Predicting asset failure using IBM SPSS Modeler
- Building a predictive model in SPSS Modeler
Two minute module overviews
These videos show you what’s in each SPSS module and outline when you might find each helpful.
Predictive operational analytics
This video series demonstrates Predictive Operational Analytics, combining market leading predictive analytical software, ready to use application templates and a fully supported professional services package to ensure rapid and effective implementation and deployment.
Predictive Promoter scoring
This video series shows how data science can be applied to net promoter scoring to help you gain a much deeper understanding of the factors driving your customer recommendation ratings and how you can take action to influence them influence them.
Text mining in SPSS Modeler
This series of videos shows you how you can analyse customer comments or indeed any free-text data, using the power of the text analytics engine contained in SPSS Modeler Premium.
6 secrets to building better models
In this series of videos we look at some often overlooked approaches that can be applied in the same way to a wide variety of algorithms and which may lead to better predictive accuracy. In all of our examples we’ll focus on improving the accuracy of a predictive model applied to a classification prediction problem.
- 6 secrets of building better models part one: bootstrap aggregation
- 6 secrets of building better models part two: boosting
- 6 secrets of building better models part three: feature engineering
- 6 secrets of building better models part four: ensemble modelling
- 6 secrets of building better models part five: meta models
- 6 secrets of building better models part six: split models
Custom Tables in SPSS Statistics
In this series of videos, we explore the rich tabulation functionality In the SPSS Custom Tables module.
Survival Analysis
These videos introduce survival analysis – a family of statistical procedures where the outcome variable of interest is time until an event occurs. Survival analysis is a powerful analytical approach that is often employed in medical applications where researchers are interested in modelling the effects of different treatments or conditions upon patient survival time.
Getting started with 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 a range of commonly used processes and procedures.
Structural equation modelling with SPSS Amos
These videos introduces the concept of Structural Equation Modelling with SPSS AMOS. In the first video we uses the example of creating a simple linear model to illustrate the functionality in the AMOS interface. In the second video, we show how to perform a basic Confirmatory Factor Analysis in AMOS.
Bayesian analysis in SPSS Statistics
In this series of videos we explore Bayesian approaches to statistical analysis and show how to perform and interpret a Bayesian independent samples test in SPSS Statistics.
Statistical techniques
This video series provides a guide to some of the most commonly used statistical and analytical procedures, showing how to execute them correctly in SPSS Statistics.
Creating charts in SPSS Statistics
This series of videos shows you how to work effectively with charts in SPSS Statistics, demonstrating some of the most popular charting procedures.
Making sense of odds and relative risk estimates in SPSS Statistics
Estimating the degree to which the risk of an event or outcome is increased or decreased based on a condition is a common statistical problem. In the healthcare and insurance sectors, measures of association such as odds ratios and relative risk ratios are key indicators of risk and treatment efficacy.
Introduction to the Neural Network module
In this two-part video series Jarlath Quinn explores how to work with the Neural Networks module in SPSS Statistics.
Exporting data from Survey Monkey to SPSS
If you collect data in SurveyMonkey and want to analyse it in SPSS then you should find these videos very useful.
Introduction to discrminant analysis
In these two videos we show how Discriminant Function Analysis can be used to predict the classes of a three category outcome.
Introduction to poisson regression
In this 3-part video series, Jarlath Quinn introduces the fundamentals of Poisson Regression and shows how to run the procedure and interpret the output in IBM SPSS Statistics.
