SPSS Basics Tutorials
Get work done fast and with confidence by starting with some SPSS basics. We'll take a quick tour through SPSS and give some tips for a solid workflow.
Which are the best steps when you start working on your data file? Follow along with our basic data inspection routine and get a perfect grip on your data from the very start of your project.
Introduction to SPSS
SPSS is software for editing and analyzing all sorts of data. This article presents a quick overview of how its interface works and its main features. Read More
SPSS Data Editor Window is where we visually inspect our data. This tutorial walks you through its main components and points out some tips and tricks. Read More
SPSS Syntax. What is it? How does it work? Why is it so important to use it? Gentle introduction with some tips and tricks. Read More
The SPSS Output Viewer window is where your output appears. This tutorial explores this window and points out some tips and tricks. Read More
Other Essential Basics
The vast majority of statistical tests really just compare several populations on one variable or compare several variables in one population. Now, if we add to this comparison the number of variables or populations and the measurement levels of our variables then choosing the appropriate statistical test suddenly becomes remarkably easy.The main limitation here is ... (Read More) Read More
Understanding SPSS variable types and formats allows you to get things done fast and reliably. Getting a grip on types and formats is not hard. However, the way they've been implemented in SPSS is very, very confusing. This tutorial aims at taking away this confusion and putting the user back into control. Read More
This tutorial outlines how to get work done efficiently by combining data, syntax and output. We'll then propose how to keep your SPSS project work organized efficiently in order to save time and effort. Read More
SPSS user missing values and system missing values explained in clear language. With tips, tricks and real world data examples. Read More