SPSS Introduction - Intermediate | Data Tools

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0118 324 3000

Overview

Get up to speed in SPSS quickly and easily on this Introduction/Intermediate two-day course. Learn how to import data into SPSS and set it up ready for further analysis. You will perform basic statistical analyses, data checking and create simple tables and charts. This course will focus on getting you comfortable with using SPSS for Windows and ready to explore further data analysis possibilities.

This comprehensive 2-days course logically guides attendees through the fundamentals of using SPSS for Windows. The course is structured so as to provide effective training in all the 4 stages of a typical data analysis process – data definition and input, data modification, data analysis and data presentation. Attendees will learn to efficiently utilize the power and flexibility of SPSS for Windows so as to get the most from their data. Through a series of “hands-on” sessions, they will gain that vital experience that will transform them from SPSS novices to productive data analysts.

Prerequisites

This two-day course is aimed at new users of SPSS.
Delegates should have experience with running software in a Windows environment.
No prior SPSS knowledge is required.
Knowledge of statistical analysis is required to gain full use of the software following the course.

(Please note that this course does not teach statistical analysis; it teaches SPSS software).

1. 1 - Introduction

Opening a Data File
Running an Analysis
Viewing Results
Creating Charts

2. 2 - Reading Data

Basic Structure of SPSS Statistics Data Files
Reading SPSS Statistics Data Files
Reading Data from Spreadsheets
Reading Data from a Database
Reading Data from a Text Files

3. 3 - Using the Data Editor

Entering Numeric Data
Entering String Data
Defining Data
Adding Variable Labels
Changing Variable Type and Format
Adding Value Labels for Numeric Variables
Adding Value Labels for String Variables
Using Value Labels for Data Entry
Handling Missing Data
Missing Values for a Numeric Variable
Missing Values for a String Variable
Copying and Pasting Variable Attributes
Defining Variable Properties for Categorical Variables

4. 4 - Working with Multiple Data Sources

Basic Handling of Multiple Data Sources
Copying and Pasting Information between Datasets
Renaming Datasets
Suppressing Multiple Datasets

5. 5 - Examining Summary Statistics for Individual Variables

Level of Measurement
Summary Measures for Categorical Data
Charts for Categorical Data
Summary Measures for Scale Variables
Histograms for Scale Variables

6. 6 - Creating and Editing Charts

Chart Creation Basics
Using the Chart Builder Gallery
Defining Variables and Statistics
Adding Text
Creating the Chart
Chart Editing Basics
Selecting Chart Elements
Using the Properties Window
Changing Bar Colours
Formatting Numbers in Tick Labels
Editing Text
Displaying Data Value Labels
Using Templates
Defining Chart Options

7. 7 - Working with Output

Using the Viewer
Using the Pivot Table Editor
Accessing Output Definitions
Pivoting Tables
Creating and Displaying Layers
Editing Tables
Hiding Rows and Columns
Changing Data Display Formats

8. 8 - TableLooks

Using Predefined Formats
Customizing TableLook Styles
Changing the Default Table Formats
Customizing the Initial Display Settings
Displaying Variable and Value Labels
Using Results in Other Applications
Pasting Results as Word Tables
Pasting Results as Text
Exporting Results to Microsoft Word, PowerPoint, and Excel Files
Exporting Results to PDF
Exporting Results to HTML

9. 9 - Modifying Data Values

Creating a Categorical Variable from a Scale Variable
Computing New Variables
Using Functions in Expressions
Pasting a Function into an Expression
Editing a Function in an Expression
Using Conditional Expressions
Working with Dates and Times
Calculating the Length of Time between Two Dates
Adding a Duration to a Date

10. 10 - Sorting and Selecting Data

Sorting Data
Split-File Processing
Sorting Cases for Split-File Processing
Turning Split-File Processing On and Off
Selecting Subsets of Cases
Selecting Cases Based on Conditional Expressions
Selecting a Random Sample
Selecting a Time Range or Case Range
Treatment of Unselected Cases
Case Selection Status

We can arrange your own private SPSS course.

Tailored

Have us build a custom private course tailored to your needs.

Cost Effective

If you are looking to training a group of people private courses can be very cost effective.

Post Course Support

Unlimited post course email support on the course topics.

Delivery Options:

At Your Offices

Virtual Online

Training Centres

Very good, trainer was excellent.

Mike Hartley-Bingle - XPS Pensions Group

Really enjoyable and relevant, Stuart was brilliant!

Vicky Fox - Charity Link

Very good introduction. Well paced and suited a range of experience levels.

Felicity Howdle - Health Education England

Trainer was very engaging, spent time explaining topics clearly.

Laura Choake - Desoutter Industrial Tools

Course was well adjusted to consider the business perspective - considering commonly needed calculations, time based data analysis etc.

Suvi Salminen - Crane CPE

I found the course very relevant to a lot of the day-to-day work I do.

Sian Stephenson - Aldi Stores Ltd