SPSS Training

This SPSS training course will teach you the fundamentals of using SPSS. SPSS is the data management software package produced by IBM and makes statistical data analysis straightforward. It functionality ranges from simple  plots and charts, through to much more sophisticated statistical tests. Although very broadly applicable, SPSS is very well-suited to analysing survey data.

This course is instructor led. It involves working on a number of practical, hands on examples and exercises in a workshop environment. It is taught by SPSS trainers with many years of experience. Our hands-on courses mean that you will leave with lots of practical SPSS experience so that you return to the office a confident user of SPSS.

This course is focused on teaching the fundamentals of SPSS. By the end of this course, you will be a confident user of SPSS. You will be able to perform basic statistical analyses, data checking and create simple tables and charts.

This course will allow you to work independently with SPSS on your own data and provides a solid foundation for more advanced data analysis work.

It is recommended that students have basic experience with the Windows operating system and some understanding of statistical analysis.

Our courses run from 9.30 am to approximately 4.3opm.
We do not have a dress code. Please come wearing whatever you are most comforable in.
While you are with us we are focused on offering you a relaxed and productive learning environment. You do not need to bring anything with you. When you book a course all of the following are included:
  • A full colour SPSS course manual.
  • The exercises that you have worked on during your course to allow you to practice afterwards.
  • USB stick to take the exercises away (where relevant).
  • Freshly prepared lunch in our onsite cafeteria.
  • Refreshments though out the day.
  • Training in fully air conditioned facilities from an experienced SPSS instructor.

 

We start with an overview of both SPSS and also the data analysis process. We discuss the differences between surveys and experiments and also have a look at how you navigate round SPSS. We look as the difference window types that you will work with and also the different file types that SPSS uses.

The key topics trained are:

  • The Data Analysis Process
  • Surveys vs Experiments
  • SPSS Window Types: Data, Output, Syntax
  • SPSS File Types: Data, Output

Setting up your test and data correctly are key in statistical analysis. This section focuses on ensuring that you are setting up your test correcting. From there we look at labelling data and variables in SPSS. Finally we have a quick look at how you can import your data from Excel, as that is usually where the raw data is held.

The key topics trained include:

  • The “case” concept
  • Choosing the right Measure
  • Creating Variables and choosing the right type
  • Variable and Value Labels
  • Calculating new variables
  • Variable Recode
  • Importing data from other programs (i.e. Excel)

Once you have your data set up and imported into SPSS the next step is to understand the types of tests that SPSS can carry out and the types of output that it can produce. We look at simple outputs in this section like frequency tables, charge and computing simple statistics like mean and standard deviation.

The key concepts trained in this section are:

  • Frequency Tables
  • Descriptive Statistics
  • Crosstabulations
  • Charts: Frequency, Cluster, Stacked, Value Bar Charts
  • Simple Statistics on Groups: Computing Mean, Standard Deviation

SPSS is very good for communicating the results of the tests that you have been running. It allows you to customise your charts and tables so that you can present them clearly. It also allows you to output your results to other software applications. We look at all of these possibilities during this section of the course.

The key concepts trained include:

  • Modifying Output Tables and Charts
  • Using Chart Templates
  • Using Table “Looks”
  • Including output in other applications (i.e. Word)

Managing your data is a very large subject. Having previously look at how to set up your data correctly we return to the subject to focus on data management. We look at how to work with the types of data that you may have (including missing values and dates and time) and also at selecting which data to use and aggregating / disaggregating data.

The key topics trained include:

  • Getting data from other sources
  • Dealing with missing values
  • Selecting Cases
  • Using Sets
  • The “Visual Bander”
  • Splitting files
  • Aggregated files
  • Dealing with multiple response questions
  • Data restructuring
  • Working with dates, times and durations
  • Merging files

This section covers the basics of statistics. Before doing a test it is critical that you understand what type of data you have. This determines the types of statistical test that will be appropriate to use, and so the types of relationships between your data that you will be able to test for. We also have a look at some very widely used statistical tests.

The key topics trained include:

  • Introduction to statistical analysis
  • Choosing the right Analysis
  • Describing categorical data
  • Exploratory data analysis: scale data
  • Probability and inferential statistics
  • Comparing categorical variables
  • Mean differences between group: T-Tests
  • Bivariate plots and correlations: scale variables
  • A look into many of the Statistical tests
  • Introduction to regression
  • Data checking
  • Introduction to multiple regression

This section is covered only when time allows, which will depend on the pace of your particular class. SPSS syntax allows you greater control over SPSS. Most routinely used options are available via the various SPSS menus. However, if an option you are looking for is not available in the menus SPSS syntax allows you to customise SPSS to carry out the test you would like. This section also discusses statistical significance and also the use of chi-squared tests. Statistical significance is the probably of obtaining a given result even if your underlying hypothesis is wrong. This is a key statistical concept to understand.

The key concepts trained include:

  • Introduction to SPSS Syntax
  • The concept of significance
  • Using chi-square