SPSS tutorials website header logo SPSS TUTORIALS BASICS DATA ANALYSIS CORRELATION T-TEST ANOVA

SPSS Beginners Tutorials

SPSS Beginners Tutorials - Data Editor

Introduction to SPSS

SPSS – What Is It?

IBM SPSS Statistics (or “SPSS” for short) is super easy software for editing and analyzing data.

This tutorial presents a quick overview of what SPSS looks like and how it basically works.


Read more...

SPSS Data Editor Window

SPSS’ main window is the data editor. It shows our data so we can visually inspect it.

This tutorial explains how the data editor works: we'll walk you through its main parts and point out some handy tips & tricks.


Read more...

SPSS Syntax Introduction

SPSS syntax is computer code used by SPSS for analyzing data, editing data, running statistical tests and more.

Using SPSS syntax is super easy and saves tons of time and effort. This tutorial quickly gets you started!


Read more...

SPSS Output – Basics, Tips & Tricks

SPSS’ output window shows the tables, charts and statistical tests you run while analyzing your data.

This tutorial walks you through some basics such as exporting tables and charts to WORD or Excel. We'll also point out some important tricks such as batch editing and styling tables and charts.


Read more...

Must-Know Statistics

Median – Simple Tutorial & Examples

The median is basically the value that separates the 50% lowest from the 50% highest values.

Example: a median income of $2,500 means that 50% of all people earn less and 50% earn more than that amount.


Read more...

Pearson Correlations – Quick Introduction

A Pearson correlation is a number between -1 and +1 that indicates how strongly two variables are linearly related.

This simple tutorial quickly explains the basics with outstanding illustrations and examples.


Read more...

What is a Frequency Distribution?

A frequency distribution is an overview of all values in some variable and how often these occur.

Like so, a frequency distribution shows how frequencies are distributed over values. This tutorial quickly makes things clear with some simple examples.


Read more...

SPSS - Popular Tutorials

SPSS Missing Values Tutorial

In SPSS, missing values refer to

  • system missing values: values that are absent from the data;
  • user missing values: values that are present in the data but must be excluded from analyses.

We'll quickly walk you through both types. We'll also show how to detect, set and deal with missing values in SPSS.


Read more...

SPSS Factor Analysis – Beginners Tutorial

Factor analysis examines which variables in your data measure which underlying factors.

This tutorial illustrates the ideas behind factor analysis with a simple step-by-step example in SPSS.


Read more...

SPSS Kolmogorov-Smirnov Test for Normality

The Kolmogorov-Smirnov test examines if a variable is normally distributed in some population.

This “normality assumption” is required for t-tests, ANOVA and many other tests. This tutorial shows how to run and interpret a Kolmogorov-Smirnov test in SPSS with some simple examples.


Read more...

SPSS Variable Types and Formats

SPSS has 2 types of variables:

  • numeric variables contain only numbers and can be used for calculations;
  • string variables contain text and cannot be used for calculations.

Numeric variables come in several formats such as plain numbers, dates and percentages. Working with SPSS becomes much faster and easier if you're aware of variable types and formats.


Read more...

Statistics - Essential Basics

Effect Size – A Quick Guide

Effect size is an interpretable number that quantifies the difference between data and some hypothesis.

Effect size measures are useful for comparing effects across and within studies. This tutorial helps you to choose, obtain and interpret an effect size for each major statistical procedure.


Read more...

What Does “Statistical Significance” Mean?

Statistical significance is roughly the probability of finding your data under some null hypothesis.

If this probability (or “p”) is low -usually p < 0.05- then your data contradict your null hypothesis. In this case, you conclude that the hypothesis is not true.


Read more...

Null Hypothesis – Simple Introduction

A null hypothesis is an exact statement about a population that we try to reject with sample data.

Example: 20% of some population carry virus X. If a sample from this population shows a very different percentage, then we reject this null hypothesis.


Read more...

Measurement Levels – What and Why?

Measurement levels are types of variables that tell you how they should be analyzed. There's 4 types:

  1. nominal variables;
  2. ordinal variables;
  3. interval variables;
  4. ratio variables.

This tutorial quickly walks you through with a simple flowchart and some examples.


Read more...

SPSS IF – A Quick Tutorial

In SPSS, IF computes a new or existing variable but for a selection of cases only.

For example: IF(GENDER = 0) SCORE = MEAN(Q1 TO Q5). computes “score” as the mean over variables Q1 to Q5 but only for cases whose gender is 0 (female).


Read more...

SPSS FILTER – Quick & Simple Tutorial

SPSS FILTER excludes a selection of cases from all subsequent analyses until you switch it off again.

Using a filter comes down to creating a (new) filter variable and activating it. This tutorial shows the easy way to do so and points out some nice alternatives as well.


Read more...

SPSS FAQ

How to Convert String Variables into Numeric Ones?

The correct way to convert a string variable into a numeric one is the ALTER TYPE command.

This tutorial walks you through with some examples. We'll point out some tricks, pitfalls and alternatives as well.


Read more...

How to Compute Means in SPSS?

The right way to compute means over variables is SPSS’ MEAN function.

For example: COMPUTE MEAN_SCORE = MEAN(Q1 TO Q5). computes mean_score as the mean over variables Q1 to Q5. This method also works correctly if you there's any missing values in your data.


Read more...

Tell us what you think!

*Required field. Your comment will show up after approval from a moderator.

THIS TUTORIAL HAS 64 COMMENTS: