Introduction to SPSSSPSS – 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...Normality Tests in SPSSSPSS Shapiro-Wilk Test – Quick Tutorial with Example
The Shapiro-Wilk test examines if a variable is normally distributed in a population. This assumption is required by some statistical tests such as t-tests and ANOVA.
The SW-test is an alternative for the Kolmogorov-Smirnov test. This tutorial shows how to run and interpret it 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...Must-Know StatisticsEffect 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...SPSS - Popular TutorialsSPSS Missing Values Tutorial
In SPSS, missing values refer tosystem 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 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...Essential SPSS CommandsSPSS 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 SELECT IF – Tutorial & Examples
In SPSS, SELECT IF removes a selection of cases from your data.
This tutorial walks you through the basics and some FAQ's such ashow to remove cases based on 2 variables instead of one?how to remove cases based on (number of) missing values?how to visually inspect only those cases that will be removed?