SPSS TUTORIALS SPSS Beginners Tutorials
Introduction to SPSS
SPSS – What Is It?
IBM SPSS Statistics (or "SPSS" for curt) 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.
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SPSS Data Editor Window
SPSS' principal window is the data editor. It shows our data so we tin can visually audit it.
This tutorial explains how the data editor works: we'll walk you through its main parts and betoken out some handy tips & tricks.
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SPSS Syntax Introduction
SPSS syntax is computer code used by SPSS for analyzing information, editing information, running statistical tests and more.
Using SPSS syntax is super easy and saves tons of time and effort. This tutorial quickly gets y'all started!
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SPSS Output – Nuts, Tips & Tricks
SPSS' output window shows the tables, charts and statistical tests you run while analyzing your data.
This tutorial walks yous through some nuts such as exporting tables and charts to Give-and-take or Excel. We'll also point out some of import tricks such every bit batch editing and styling tables and charts.
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Normality Tests in SPSS
SPSS Shapiro-Wilk Exam – Quick Tutorial with Example
The Shapiro-Wilk test examines if a variable is normally distributed in a population. This supposition is required past some statistical tests such every bit t-tests and ANOVA.
The SW-exam is an alternative for the Kolmogorov-Smirnov exam. This tutorial shows how to run and translate it in SPSS.
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SPSS Kolmogorov-Smirnov Test for Normality
The Kolmogorov-Smirnov test examines if a variable is ordinarily distributed in some population.
This "normality supposition" 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.
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Must-Know Statistics
Effect Size – A Quick Guide
Consequence size is an interpretable number that quantifies the deviation between data and some hypothesis.
Effect size measures are useful for comparing effects across and within studies. This tutorial helps you to cull, obtain and interpret an effect size for each major statistical procedure.
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SPSS - Pop Tutorials
SPSS Missing Values Tutorial
In SPSS, missing values refer to
- arrangement missing values: values that are absent-minded from the data;
- user missing values: values that are present in the data but must exist excluded from analyses.
We'll apace walk you through both types. We'll also bear witness how to discover, set and deal with missing values in SPSS.
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SPSS Variable Types and Formats
SPSS has two types of variables:
- numeric variables contain only numbers and can be used for calculations;
- string variables incorporate text and cannot be used for calculations.
Numeric variables come up in several formats such as plain numbers, dates and percentages. Working with SPSS becomes much faster and easier if you lot're aware of variable types and formats.
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Essential SPSS Commands
SPSS IF – A Quick Tutorial
In SPSS, IF computes a new or existing variable merely for a selection of cases only.
For case: IF(GENDER = 0) SCORE = Hateful(Q1 TO Q5). computes "score" equally the hateful over variables Q1 to Q5 but only for cases whose gender is 0 (female).
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SPSS SELECT IF – Tutorial & Examples
In SPSS, SELECT IF removes a choice of cases from your information.
This tutorial walks you through the nuts and some FAQ's such equally
- how 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 exist removed?
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SPSS FAQ
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