# SPSS Beginners 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 – What Is It?

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

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 Introduction

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

## SPSS Output Viewer Window

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

## Simple Overview Statistical Comparison Tests

Which statistical test should you use? This overview makes it easy with simple visualizations and requirements for all major statistical comparison tests. Read More

## SPSS Variable Types and Formats Tutorial

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

## SPSS – Combining Data with Syntax and Output

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 Missing Values Tutorial

SPSS user missing values and system missing values explained in clear language. With tips, tricks and real world data examples. Read More