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by Aaron Poh, Jesus Salcedo, Keith McCormick
SPSS Statistics for Dummies, 3rd Edition
Cover
Cover
Introduction
About This Book
Foolish Assumptions
Icons Used in This Book
Beyond the Book
Where to Go from Here
Part I: Getting Started with SPSS
Chapter 1: Introducing SPSS
Garbage In, Garbage Out: Recognizing the Importance of Good Data
Talking to SPSS: Can You Hear Me Now?
How SPSS Works
Getting Help When You Need It
Chapter 2: Installing SPSS
Getting SPSS onto Your Computer
Starting SPSS
Chapter 3: A Simple Statistical Analysis Example
When the Tanana at Nenana Thaws
Entering the Data
The Most Likely Hour
Transforming Data
The Two Kinds of Numbers
The Day It’s Most Likely to Happen
Part II: Getting Data in and out of SPSS
Chapter 4: Entering and Defining Data
Entering Variable Definitions on the Variable View Tab
Entering and Viewing Data Items on the Data View Tab
Filling In Missed Categorical Values
Chapter 5: Opening Data Files
Getting Acquainted with the SPSS File Format
Formatting a Text File for Input into SPSS
Reading Simple Data from a Text File
Transferring Data from Another Program
Saving Data and Images
Chapter 6: Getting Data and Results out of SPSS
Printing
Exporting to a Database
Using SPSS Statistics Viewer
Creating a Graphics File
Creating a Web Report File
Chapter 7: More About Defining Your Data
Working with Dates and Times
Using the Date Time Wizard
Creating and Using a Multiple-Response Set
Copying Data Properties
Part III: Messing with Data in SPSS
Chapter 8: The Transform and Data Menus
Sorting Cases
Selecting the Data You Want to Look At
Splitting Your Data for Easier Analysis
Counting Case Occurrences
Recoding Variables
Binning
Chapter 9: Using Functions
The LENGTH Function
The ANY Function
The MEAN Function and Missing Data
Chapter 10: Manipulating Files
Merging Files Adding Cases
Merging Files Adding Variables
Part IV: Graphing Data
Chapter 11: On the Menu: Graphing Choices in SPSS
Building Graphs the Chart Builder Way
Building Graphs with the Graphboard Template Chooser
Chapter 12: Building Graphs Using the Chart Builder
Simple Graphs
Fancy Graphs
Part V: Analyzing Data
Chapter 13: Using Descriptive Statistics
Looking at Levels of Measurement
Focusing on Frequencies for Categorical Variables
Understanding Frequencies for Continuous Variables
Summarizing Continuous Variables with the Descriptives Procedure
Chapter 14: Showing Relationships between Categorical Dependent and Independent Variables
Testing a Hypothesis to See If It’s Right
Conducting Inferential Tests
Running the Crosstabs Procedure
Chapter 15: Showing Relationships between Continuous Dependent and Categorical Independent Variables
Hypothesis Testing Revisited
Using the Compare Means Dialog Box
Running the Independent-Samples T-Test Procedure
Running the Summary Independent-Samples T-Test Procedure
Chapter 16: Showing Relationships between Continuous Dependent and Independent Variables
Running the Bivariate Procedure
Running the Linear Regression Procedure
Part VI: Making SPSS Your Own: Settings, Templates, and Looks
Chapter 17: Changing Settings
General Options
Language Options
Viewer Options
Data Options
Currency Options
Output Options
Chart Options
Pivot Tables Options
File Locations Options
Scripts Options
Multiple Imputations Options
Syntax Editor Options
Chapter 18: Editing Charts and Chart Templates
Changing and Editing Axes
Changing Style: Lines and Symbols
Applying Templates
Chapter 19: Editing Tables
Working with TableLooks
Style Output
Pivoting Trays
Part VII: Programming SPSS with Command Syntax
Chapter 20: Getting Acquainted with Syntax
Pasting
Labeling
Repeatedly Generating the Same Reports
Opening and Saving Files
Chapter 21: Adding Syntax to Your Toolkit
Your Wish Is My Command
Using Keywords
Working with Variables and Constants
Declaring Data
Commenting Your Way to Clarity
Executing Commands
Controlling Flow and Executing Conditionals
Part VIII: The Part of Tens
Chapter 22: Ten (Or So) Modules You Can Add to SPSS
The Advanced Statistics Module
The Custom Tables Module
The Regression Module
The Categories Module
The Data Preparation Module
The Decision Trees Module
The Forecasting Module
The Missing Values Module
The Bootstrapping Module
The Complex Samples Module
The Conjoint Module
The Direct Marketing Module
The Exact Tests Module
The Neural Networks Module
Amos
The Sample Power Module
The Visualization Designer Module
Chapter 23: Ten (Or So) Useful SPSS Online Resources
The Statistics & Consultants Group on LinkedIn
SPSSX-L
IBM SPSS Statistics Certification
Online Videos
Twitter
Blogs
Online Courses with Live Instruction
Tutorials
SPSS Programming and Data Management: A Guide for SPSS and SAS Users
Chapter 24: Ten Professional Development Projects for SPSS Users
The Case Studies
Syntax
IBM SPSS Tables
Data Visualization
Better Presentations
R
Graphics Production Language
Output Management System
Python Programs
Python Scripting
Glossary
About the Authors
Cheat Sheet
Connect with Dummies
End User License Agreement
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