New training courses announced for this Autumn

Introduction to Significance Testing Using PSPP

Date:                 19th October & 26th October 2017
Location:           Cirencester
Trainer:             David Dipple
Bookings:          Please contact David at david.dipple@btinternet.com

This course will take you to the next step in statistical analysis by showing you how to determine if values are not only different, but whether that difference is statistically significant. This course is designed for anyone who has access to data and has a desire to want to look more deeply at the relationships within it. This is combined with an introduction to PSPP so that you can embark on your statistical journey with the minimum of fuss.  

In this one-day course David will look at what significance testing is and how different types of data and questions can require a range of statistical tests to understand the relationships within the data. Some of the significance tests used during this course include: chi-square, t-test, correlation and ANOVA.  The delegates will be shown how to run these techniques using the built in interface as well as how to start writing your own PSPP syntax.

You will need to supply a laptop with Excel 2007 or later; PSPP will also need to be loaded prior to the course (a link to PSPP will be supplied before the course starts). This is a hands-on course and you will be introduced to the statistical tests via practical sessions and user documentation which help you to understand what the best test is.  During the course we will predominantly be using Excel and PSPP (prior knowledge of these is not required).

If you do not have access to a laptop, I have a limited number that can be hired for the duration of the course. All course material will be provided on the day by the course trainers. Places on this course are very limited. This course is a pre-requisite for the Modelling and also the Advanced Questionnaire analysis courses.

The cost of this course is £195 for NFP organisations and £250 per day for commercial organisations.


Introduction to Modelling Using PSPP

Date:                 20th October 2017
Location:           Cirencester
Trainer:             David Dipple
Bookings:          Please contact David at david.dipple@btinternet.com

Learn how to build statistical models using PSPP. You will learn about how to approach a modelling project, the importance of understanding the data and also how to build your own propensity models. We will concentrate on using the following techniques:

  • Proxy/fuzzy models
  • Binary Logistic Regression

We will examine the technical and statistical aspects on modelling and then go through how to build models using a number of techniques. We will also examine techniques for measuring the success of a model.

For more Information, visit:

http://adroitthinking.com/training-mentoring/courses/pspp-building-predictive-models/

It should be noted that delegates will need to have experience using PSPP/SPSS syntax and/or attended the one my other to PSPP courses; the course will not be intelligible without this basic knowledge. Any of the models created can be converted from PSPP syntax to SPSS syntax with only a minor amount of reworking.

There are some key differences between SPSS and PSPP in terms of modelling and if a pure SPSS course is required this can be supplied but will need to be carried out and arranged privately.

You will need to supply a laptop with Excel 2007 or later PSPP will also need to be loaded prior to the course (a link to PSPP will be supplied before the course starts).
If you do not have access to a laptop, I have a limited number that can be hired for the duration of the course. All course material will be provided on the day by the course trainers. Places on this course are very limited.

The cost of this course is £195 for NFP organisations and £250 per day for commercial organisations.


Advanced Questionnaire Analysis using PSPP (with a little help from R)

Date:                 27th October 2017
Location:           Cirencester
Trainer:             David Dipple
Bookings:          Please contact David at david.dipple@btinternet.com

Learn how to take your questionnaire analysis to the next level. You will learn how to take a basic questionnaire and make the result come alive using some advanced statistical methods:

  • Questionnaire Analysis Techniques
  • Basic Clustering
  • Key Driver Analysis
  • Multiple Correspondence Analysis

For more information on course content, visit:

http://adroitthinking.com/training-mentoring/courses/pspp-questionnaire-analysis-going-beyond-the-basics/

It should be noted that delegates will need to have experience using PSPP/SPSS syntax and/or attended the one my other to PSPP courses; the course will not be intelligible without this basic knowledge.

There are some key differences between SPSS and PSPP in terms of modelling and if a pure SPSS course is required this can be supplied but will need to be carried out and arranged privately.

You will need to supply a laptop with Excel 2007 or later PSPP and R will also need to be loaded prior to the course (links to PSPP and R will be supplied before the course starts). The course also makes use of R and again no prior knowledge of this is required; all R syntax that can be easily modified will be supplied. If you do not have access to a laptop, I have a limited number that can be hired for the duration of the course. All course material will be provided on the day by the course trainers. Places on this course are very limited.

The cost of this course is £195 for NFP organisations and £250 per day for commercial organisations.


David Dipple – Adroit

David is the owner of Adroit Thinking, his training and mentoring company, and the consultancy director of Adroit Data & Insight. David has worked with fundraising clients for over 25 years and has trained numerous analysts and fundraisers in how to use statistics and analysis to get more out of their data. These courses range from understanding basic statistics, through statistical programming to predictive modelling.