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SPSS Statistics For Dummies, 4th Edition

Release Date: 2020/09/01
ISBN: 9781119560838
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The fun and friendly guide to mastering IBM’s Statistical Package for the Social Sciences

Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis.

Covering the latest release and updates to SPSS 27.0, and including more than 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You’ll even dabble in programming as you expand SPSS functionality to suit your specific needs. 

  • Master the fundamental mechanics of SPSS
  • Learn how to get data into and out of the program
  • Graph and analyze your data more accurately and efficiently
  • Program SPSS with Command Syntax 

Get ready to start handling data like a pro—with step-by-step instruction and expert advice!

 

Table of Contents

  1. Cover
  2. Introduction
    1. About This Book
    2. About the Fourth Edition
    3. Foolish Assumptions
    4. Icons Used in This Book
    5. Beyond the Book
    6. Where to Go from Here
  3. Part 1: Getting Started with SPSS
    1. Chapter 1: Introducing SPSS
    2. SPSS’s Job, Our Job, and Your Job
    3. Garbage In, Garbage Out: Recognizing the Importance of Good Data
    4. Talking to SPSS: Can You Hear Me Now?
    5. Getting Help When You Need It
    6. Chapter 2: Finding the Best SPSS for You
    7. Campus Editions
    8. Subscription Plans
    9. Commercial Editions
    10. What’s New in Version 27
    11. Chapter 3: Getting to Know SPSS by Running a Simple Session
    12. Opening a Dataset
    13. Running an Analysis
    14. Interpreting Results
    15. Creating Graphs
    16. Investigating Data
  4. Part 2: Getting Data into and out of SPSS
    1. Chapter 4: Understanding SPSS Data: Defining Metadata
    2. Entering Variable Definitions on the Variable View Tab
    3. Entering and Viewing Data Items on the Data View Tab
    4. Chapter 5: Opening Data Files
    5. Getting Acquainted with the SPSS File Format
    6. Reading Simple Data from a Text File
    7. Transferring Data from Another Program
    8. Saving Data
    9. Chapter 6: Getting Data and Results from SPSS
    10. Exporting Data to Another Program
    11. Navigating SPSS Statistics Viewer
    12. Moving SPSS Output to Other Applications
    13. Printing Data
    14. Chapter 7: More about Defining Your Data
    15. Working with Dates and Times
    16. Using the Date and Time Wizard
    17. Creating and Using a Multiple-Response Set
    18. Copying Data Properties
  5. Part 3: Messing with Data in SPSS
    1. Chapter 8: The Transform and Data Menus
    2. Sorting Cases
    3. Selecting the Data You Want to Look At
    4. Splitting Data for Easier Analysis
    5. Counting Case Occurrences
    6. Recoding Variables
    7. Binning
    8. Optimal Binning
    9. Chapter 9: Computing New Variables
    10. Calculating a New Variable with a Formula
    11. Calculating a New Variable with a Condition
    12. Using System Variables
    13. Contrasting $Sysmis with SYSMIS
    14. Understanding Missing Data in Formulas
    15. Efficiently Calculating with Multiple Formulas
    16. Chapter 10: Some Useful Functions
    17. The LENGTH Function
    18. The ANY Function
    19. The MEAN Function and Missing Data
    20. RND, TRUNC, and MOD
    21. Logicals, the MISSING Function, and the NOT Function
    22. String Parsing and Nesting Functions
    23. Calculating Lags
    24. Chapter 11: Combining Files
    25. Merging Files by Adding Cases
    26. Merging Files by Adding Variables
  6. Part 4: Graphing Data
    1. Chapter 12: On the Menu: Graphing Choices in SPSS
    2. Building Graphs the Chart Builder Way
    3. Building Graphs with Graphboard Template Chooser
    4. Chapter 13: Building Graphs Using Chart Builder
    5. Simple Graphs
    6. Fancy Graphs
    7. Fancy Maps Using Graphboard Template Chooser
  7. Part 5: Analyzing Data
    1. Chapter 14: Using Descriptive Statistics
    2. Looking at Levels of Measurement
    3. Focusing on Frequencies for Categorical Variables
    4. Understanding Frequencies for Continuous Variables
    5. Summarizing Continuous Variables with the Descriptives Procedure
    6. Chapter 15: Knowing When Not to Trust Your Data
    7. Sampling
    8. Understanding Sample Size
    9. Testing Hypotheses
    10. Calculating Confidence Intervals
    11. Conducting In-Depth Hypothesis Testing
    12. Using the Normal Distribution
    13. Working with Z-Scores
    14. Chapter 16: Testing One Group
    15. Conducting Inferential Tests
    16. Running the Chi-Square Goodness of Fit Test
    17. Running the One-Sample T-Test Procedure
    18. Chapter 17: Showing Relationships between Categorical Variables
    19. Running the Crosstabs Procedure
    20. Running the Chi-Square Test of Independence
    21. Comparing Column Proportions
    22. Adding Control Variables
    23. Creating a Clustered Bar Chart
    24. Chapter 18: Showing Relationships between Continuous Dependent and Categorical Independent Variables
    25. Conducting Inferential Tests
    26. Using the Compare Means Dialog
    27. Running the Independent-Samples T-Test Procedure
    28. Comparing the Means Graphically
    29. Running the Summary Independent-Samples T-Test Procedure
    30. Running the Paired-Samples T-Test Procedure
    31. Chapter 19: Showing Relationships between Continuous Variables
    32. Viewing Relationships
    33. Running the Bivariate Procedure
    34. Running the Simple Linear Regression Procedure
  8. Part 6: Getting More Advanced with Analyzing Data
    1. Chapter 20: Doing More Advanced Analyses
    2. Running the One-Way ANOVA Procedure
    3. Conducting Post Hoc Tests
    4. Comparing Means Graphically
    5. Running the Multiple Linear Regression Procedure
    6. Viewing Relationships
    7. Chapter 21: What Is Normal Anyway?
    8. Understanding Nonparametric Tests
    9. Understanding Distributions
    10. Running a Nonparametric Independent Samples Test
    11. Running a Nonparametric Related Samples Test
    12. Chapter 22: When to Do What
    13. Determining Which Statistical Test to Perform
    14. Using Advanced Techniques
  9. Part 7: Making SPSS Your Own
    1. Chapter 23: Changing Settings
    2. General Options
    3. Language Options
    4. Viewer Options
    5. Data Options
    6. Currency Options
    7. Output Options
    8. Chart Options
    9. Pivot Tables Options
    10. File Locations Options
    11. Scripts Options
    12. Multiple Imputations Options
    13. Syntax Editor Options
    14. Privacy Options
    15. Chapter 24: Editing Charts and Chart Templates
    16. Changing and Editing Axes
    17. Changing Style: Lines and Symbols
    18. Applying Templates
    19. Chapter 25: Editing Tables
    20. Working with TableLooks
    21. Style Output
    22. Pivoting Trays
  10. Part 8: Programming SPSS with Command Syntax
    1. Chapter 26: Getting Acquainted with Syntax
    2. Pasting
    3. Performing a Series of Related Compute Statements
    4. Labeling
    5. Repeatedly Generating the Same Report
    6. Chapter 27: Adding Syntax to Your Toolkit
    7. Your Wish Is My Command
    8. Understanding Keywords
    9. Declaring Data
    10. Commenting Your Way to Clarity
    11. Running Your Code
    12. Controlling Flow and Executing Conditionals
  11. Part 9: The Part of Tens
    1. Chapter 28: Ten (or So) Modules You Can Add to SPSS
    2. The Advanced Statistics Module
    3. The Custom Tables Module
    4. The Regression Module
    5. The Categories Module
    6. The Data Preparation Module
    7. The Decision Trees Module
    8. The Forecasting Module
    9. The Missing Values Module
    10. The Bootstrapping Module
    11. The Complex Samples Module
    12. The Conjoint Module
    13. The Direct Marketing Module
    14. The Exact Tests Module
    15. The Neural Networks Module
    16. Chapter 29: Ten Useful SPSS Resources
    17. Supporting Websites for This Book
    18. LinkedIn and LinkedIn Groups
    19. IBM SPSS Statistics Certification
    20. IBM Data Science Community
    21. SPSSX-L
    22. Online Videos
    23. Twitter
    24. Live Instruction
    25. Asynchronous Instruction and Tutorials
    26. SPSS Statistics for Data Analysis and Visualization
    27. Chapter 30: Ten SPSS Statistics Gotchas
    28. Failing to Declare Level of Measurement
    29. Conflating String Values with Labels
    30. Failing to Declare Missing Data
    31. Failing to Find Add-On Modules and Plug-Ins
    32. Failing to Meet Statistical and Software Assumptions
    33. Confusing Pasting Syntax with Copy and Paste
    34. Thinking You Create Variables in SPSS as You Do in Excel
    35. Getting Confused by Listwise Deletion
    36. Losing Track of Your Active Dataset
    37. Forgetting to Turn Off Select and Split and Weight
  12. Index
  13. About the Authors
  14. Connect with Dummies
  15. End User License Agreement
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