- Cover
- Introduction
- Part 1: Getting Started with SPSS
- Chapter 1: Introducing SPSS
- SPSS’s Job, Our Job, and Your Job
- Garbage In, Garbage Out: Recognizing the Importance of Good Data
- Talking to SPSS: Can You Hear Me Now?
- Getting Help When You Need It
- Chapter 2: Finding the Best SPSS for You
- Campus Editions
- Subscription Plans
- Commercial Editions
- What’s New in Version 27
- Chapter 3: Getting to Know SPSS by Running a Simple Session
- Opening a Dataset
- Running an Analysis
- Interpreting Results
- Creating Graphs
- Investigating Data
- Part 2: Getting Data into and out of SPSS
- Chapter 4: Understanding SPSS Data: Defining Metadata
- Entering Variable Definitions on the Variable View Tab
- Entering and Viewing Data Items on the Data View Tab
- Chapter 5: Opening Data Files
- Getting Acquainted with the SPSS File Format
- Reading Simple Data from a Text File
- Transferring Data from Another Program
- Saving Data
- Chapter 6: Getting Data and Results from SPSS
- Exporting Data to Another Program
- Navigating SPSS Statistics Viewer
- Moving SPSS Output to Other Applications
- Printing Data
- Chapter 7: More about Defining Your Data
- Working with Dates and Times
- Using the Date and Time Wizard
- Creating and Using a Multiple-Response Set
- Copying Data Properties
- Part 3: Messing with Data in SPSS
- Chapter 8: The Transform and Data Menus
- Sorting Cases
- Selecting the Data You Want to Look At
- Splitting Data for Easier Analysis
- Counting Case Occurrences
- Recoding Variables
- Binning
- Optimal Binning
- Chapter 9: Computing New Variables
- Calculating a New Variable with a Formula
- Calculating a New Variable with a Condition
- Using System Variables
- Contrasting $Sysmis with SYSMIS
- Understanding Missing Data in Formulas
- Efficiently Calculating with Multiple Formulas
- Chapter 10: Some Useful Functions
- The LENGTH Function
- The ANY Function
- The MEAN Function and Missing Data
- RND, TRUNC, and MOD
- Logicals, the MISSING Function, and the NOT Function
- String Parsing and Nesting Functions
- Calculating Lags
- Chapter 11: Combining Files
- Merging Files by Adding Cases
- Merging Files by Adding Variables
- Part 4: Graphing Data
- Part 5: Analyzing Data
- Chapter 14: 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 15: Knowing When Not to Trust Your Data
- Sampling
- Understanding Sample Size
- Testing Hypotheses
- Calculating Confidence Intervals
- Conducting In-Depth Hypothesis Testing
- Using the Normal Distribution
- Working with Z-Scores
- Chapter 16: Testing One Group
- Conducting Inferential Tests
- Running the Chi-Square Goodness of Fit Test
- Running the One-Sample T-Test Procedure
- Chapter 17: Showing Relationships between Categorical Variables
- Running the Crosstabs Procedure
- Running the Chi-Square Test of Independence
- Comparing Column Proportions
- Adding Control Variables
- Creating a Clustered Bar Chart
- Chapter 18: Showing Relationships between Continuous Dependent and Categorical Independent Variables
- Conducting Inferential Tests
- Using the Compare Means Dialog
- Running the Independent-Samples T-Test Procedure
- Comparing the Means Graphically
- Running the Summary Independent-Samples T-Test Procedure
- Running the Paired-Samples T-Test Procedure
- Chapter 19: Showing Relationships between Continuous Variables
- Viewing Relationships
- Running the Bivariate Procedure
- Running the Simple Linear Regression Procedure
- Part 6: Getting More Advanced with Analyzing Data
- Chapter 20: Doing More Advanced Analyses
- Running the One-Way ANOVA Procedure
- Conducting Post Hoc Tests
- Comparing Means Graphically
- Running the Multiple Linear Regression Procedure
- Viewing Relationships
- Chapter 21: What Is Normal Anyway?
- Understanding Nonparametric Tests
- Understanding Distributions
- Running a Nonparametric Independent Samples Test
- Running a Nonparametric Related Samples Test
- Chapter 22: When to Do What
- Determining Which Statistical Test to Perform
- Using Advanced Techniques
- Part 7: Making SPSS Your Own
- Chapter 23: 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
- Privacy Options
- Chapter 24: Editing Charts and Chart Templates
- Changing and Editing Axes
- Changing Style: Lines and Symbols
- Applying Templates
- Chapter 25: Editing Tables
- Working with TableLooks
- Style Output
- Pivoting Trays
- Part 8: Programming SPSS with Command Syntax
- Chapter 26: Getting Acquainted with Syntax
- Pasting
- Performing a Series of Related Compute Statements
- Labeling
- Repeatedly Generating the Same Report
- Chapter 27: Adding Syntax to Your Toolkit
- Your Wish Is My Command
- Understanding Keywords
- Declaring Data
- Commenting Your Way to Clarity
- Running Your Code
- Controlling Flow and Executing Conditionals
- Part 9: The Part of Tens
- Chapter 28: 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
- Chapter 29: Ten Useful SPSS Resources
- Supporting Websites for This Book
- LinkedIn and LinkedIn Groups
- IBM SPSS Statistics Certification
- IBM Data Science Community
- SPSSX-L
- Online Videos
- Live Instruction
- Asynchronous Instruction and Tutorials
- SPSS Statistics for Data Analysis and Visualization
- Chapter 30: Ten SPSS Statistics Gotchas
- Failing to Declare Level of Measurement
- Conflating String Values with Labels
- Failing to Declare Missing Data
- Failing to Find Add-On Modules and Plug-Ins
- Failing to Meet Statistical and Software Assumptions
- Confusing Pasting Syntax with Copy and Paste
- Thinking You Create Variables in SPSS as You Do in Excel
- Getting Confused by Listwise Deletion
- Losing Track of Your Active Dataset
- Forgetting to Turn Off Select and Split and Weight
- Index
- About the Authors
- Connect with Dummies
- End User License Agreement
Part 3
Messing with Data in SPSS
IN THIS PART …
Transform your data into the form that you need it.
Find out about the Compute Variable command, one of the most important commands in SPSS.
Learn the grammer of functions to manipulate your data efficiently.
Combine data files efficiently.
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.