2 new SPSS courses added by Adroit Thinking
Our sister company Adroit Thinking have just added 2 brand new hands-on SPSS training courses details of which are outlined below.
SPSS – Building Predictive Models
This course will allow the user to start building powerful predictive models, but will go beyond the modelling techniques to discuss how to, and how not to, approach building models. I have been building successful predictive models in a work environment for over 20 years and so this is a practical rather than an academic course that will allow you to build your own models and apply the skills immediately.
In addition to the theory of building models there will be practical workshop sessions where you will apply your skills to build models on data that is not used in the theory sections. For this reason, the course will be run over two days so that there is ample time to practice your new skills.
The key techniques examined are:
- Fuzzy weighted models
- Binary Logistic
- Binary Discriminant Analysis
- Multinomial Discriminant Analysis
- Gains Curves and Analysis
It should be noted that this course will NOT be intelligible without a good working knowledge of SPSS and SPSS syntax as contained in Adroit’s Getting Started with SPSS and Introduction to Writing SPSS Syntax courses. This is a sister course to the advanced questionnaire analysis course (SPSS – Questionnaires: Going beyond the basics).
SPSS – Questionnaires: Going beyond the basics
For many people a questionnaire analysis consist of running a lot of frequency tables and bar charts and they tend to stay clear of some of the more complex but interesting statistical methods. These statistical techniques can you help understand the relationships between variables and categories and often offer a more visual representation of the results than can be obtained using basic crosstabs and frequency tables. This course shows a number of statistical techniques that will help you breathe some life into your questionnaire analyses.
This course builds on the basic building blocks of frequency tables, crosstabs and simple summary statistics. This course will examine techniques that are designed for analysing the smaller sized datasets often found when looking at questionnaire responses. We will examine non-parametric statistical methods that are simple to use and understand but are often neglected as analyst either don’t know that they exist or use more traditional methods.
Whilst these form the basic building blocks of a questionnaire analysis, more complex methods that examine data reduction, classifying and redundancy will be used to go beyond simple tables and look into multivariate relationships between the questions. This will be combined with data visualisation techniques that will allow the analyst to understand the inter-relationship between questions and responses.
Finally, we will look at linear regression (and other techniques) to build a key drivers analysis view of the data.
The key techniques examined are:
- Non-parametric methods
- Factor Analysis
- Multiple Correspondence Analysis (ANACOR)*
- Key Drivers Analysis
This is a practical course and you should be apple to apply the skills immediately.
It should be noted that this course will not be intelligible without a good working knowledge of SPSS and SPSS syntax as contained in Adroit’s Getting Started with SPSS and Introduction to Writing SPSS Syntax courses.
*It should be noted that Multiple Correspondence function is not contained in the SPSS Statistics Base and requires a separate module.