Part 1 – An overview of SurveyMonkey’s export options
Part 1 – An overview of SurveyMonkey’s export options
Part 1 – An overview of SurveyMonkey’s export options
Part 2 – Exporting data with the ‘Actual answer text’ option
Part 3 – Exporting data with the ‘Numerical values’ option
In this webinar, we look at how analysts and researchers can address a host of healthcare-related applications in SPSS Statistics. The session includes demonstrations of a number of analytical techniques such as those Patient Satisfaction surveys and clinical outcomes research.
In this free on demand webinar we show how DataRobot’s AI Cloud platform creates actionable value from raw data in a single session.
In this white paper we briefly describe the tenant satisfaction measures (TSMs) and tenant survey
requirements (TSRs). We then illustrate the reality of the data preparation and analysis that is involved so TSM can be properly implemented to enable the desired organisational behaviours and tenant
outcomes.
In this free on demand webinar we show how DataRobot’s AI Cloud platform creates actionable value from raw data in a single session.
In this free on demand webinar we show how DataRobot’s AI Cloud platform creates actionable value from raw data in a single session.
In this webinar we’ll show you how to get to grips with SPSS syntax, covering the basics of SPSS Syntax, easy ways to find help about how syntax works, useful tips and little-known procedures, and automating work to run on a regular basis.
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.
Explains what the DATASET ACTIVATE command does and explores the grammatical structure of syntax procedures.
Shows how to add comments to syntax without creating errors and explains how to use syntax Help resources to run different procedures.
Shows how read different data files with syntax, how to create and add labels to variables and how to recode data using syntax.
Explores different methods for filtering data and introduces the TEMPORARY command.
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.
Shows how to automate syntax jobs with the Production facility and creating batch scheduled jobs for timed execution.
In this free on demand webinar we will provide an overview and demonstration of the Neural Networks module in SPSS Statistics.
IBM SPSS Statistics software can be licenced and implemented in many ways. This free webinar will explain what you need to consider to make the right licencing choice for your organisation.
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 …
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. …
Working with R in SPSS Part 2 – Working with R Packages Read More »
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 …
Working with R in SPSS Part 3 – Creating Custom Dialogs Read More »
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 …
Working with R in SPSS Part 4 – Adding options to Custom Dialogs Read More »
In this video, Jarlath Quinn explains how odds and relative risks are calculated and how you can code and arrange your variables so that interpretation is as straightforward as possible.
In this on demand webinar Jarlath Quinn explores Bayesian approaches to statistical analysis and shows how to perform and interpret a Bayesian tests in SPSS.
Click on each link below to find out more about which procedures and functions are in each SPSS module. SPSS Statistics Base Advanced Statistics AMOS Bootstrapping Categories Complex Samples Conjoint Custom Tables Data Preparation Decision Trees Direct Marketing Exact Tests Forecasting Missing Values Neural Networks Regression SPSS subscriptions SPSS bundles
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.
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
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.
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.
This video shows how to create a more complex Cox Regression model. Also introduces the Cox Regression with Time Dependent Covariates procedure.
Explores the historical and theoretical context of the classical ‘Frequentist’ statistical approach and its Bayesian counterpart.
Introduces the concept of Prior Probabilities and how these are utilised in Bayes Theorem.
Introduces credible intervals and the use of Bayes Factor as an alternative to P values.
Shows how to perform a Bayesian Analysis in SPSS Statistics and how to interpret the output.
In this webinar Jarlath Quinn takes a deep dive into correlation analysis in SPSS Statistics. Correlations coefficients are one of the most widely-employed analytical techniques used to assess whether linear relationships exist between separate variables.
In order to complete an upgrade to V29 you will need to have an up to date support and maintenance contract with Smart Vision. If you do not have an up to date support contract then it is possible to buy reinstatement licences to get the upgrade organised. If you would like to investigate this …
A video guide to performing tests of significance in the SPSS Custom Tables module.
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.
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.
The video explores moderation analysis, which enables analysts to identify interaction effects that alter the relationship between a dependent and independent variable.
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.
In this webinar Jarlath Quinn shows how DataRobot empowers organisations to go beyond simplistic approaches and apply advanced, AI-driven forecasting models to hard problems using Automated Time Series.
This webinar focuses 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.
This free educational webinar focuses on the value of predictive and advanced analytics in database marketing. You will learn how you can apply predictive analytics to both your outbound and inbound marketing campaigns in order to reduce your costs and increase your response and conversion rates.