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!
Autorentext
Jesus Salcedo is an independent statistical and data-mining consultant who has been using SPSS products for more than 25 years. He has written numerous SPSS courses and trained thousands of users. Keith McCormick has been all over the world training and consulting in all things SPSS, statistics, and data mining. He now authors courses on the LinkedIn Learning platform and coaches executives on how to effectively manage their analytics teams.
Inhalt
Introduction 1
About This Book 1
About the Fourth Edition 2
Foolish Assumptions 2
Icons Used in This Book 3
Beyond the Book 3
Where to Go from Here 3
Part 1: Getting Started with SPSS 5
Chapter 1: Introducing SPSS 7
SPSS's Job, Our Job, and Your Job 7
SPSS's job 8
Our job 8
Your job 9
Garbage In, Garbage Out: Recognizing the Importance of Good Data 9
Talking to SPSS: Can You Hear Me Now? 12
The graphical user interface 12
Syntax 12
Programmability 13
How SPSS works 13
Getting Help When You Need It 15
Chapter 2: Finding the Best SPSS for You 17
Campus Editions 19
Subscription Plans 20
Commercial Editions 22
What's New in Version 27 24
Chapter 3: Getting to Know SPSS by Running a Simple Session 25
Opening a Dataset 25
Running an Analysis 27
Interpreting Results 30
Creating Graphs 33
Investigating Data 37
Part 2: Getting Data into and out of SPSS 43
Chapter 4: Understanding SPSS Data: Defining Metadata 45
Entering Variable Definitions on the Variable View Tab 46
Name 47
Type 47
Width 51
Decimals 52
Label 52
Values 53
Missing 54
Columns 55
Align 55
Measure 55
Role 56
Entering and Viewing Data Items on the Data View Tab 56
Chapter 5: Opening Data Files 59
Getting Acquainted with the SPSS File Format 59
Reading Simple Data from a Text File 60
Transferring Data from Another Program 65
Reading an Excel file 67
Reading from an unknown program type 68
Saving Data 69
Chapter 6: Getting Data and Results from SPSS 71
Exporting Data to Another Program 71
Navigating SPSS Statistics Viewer 72
Moving SPSS Output to Other Applications 74
Copying and pasting output 74
Exporting output 75
Printing Data 80
Chapter 7: More about Defining Your Data 81
Working with Dates and Times 82
Using the Date and Time Wizard 84
Creating and Using a Multiple-Response Set 86
Copying Data Properties 90
Part 3: Messing with Data in SPSS 95
Chapter 8: The Transform and Data Menus 97
Sorting Cases 97
Selecting the Data You Want to Look At 100
Splitting Data for Easier Analysis 103
Counting Case Occurrences 104
Recoding Variables 107
Recoding into different variables 107
Automatic recoding 110
Binning 113
Optimal Binning 117
Chapter 9: Computing New Variables 119
Calculating a New Variable with a Formula 120
Calculating a New Variable with a Condition 122
Using System Variables 124
Contrasting $Sysmis with SYSMIS 125
Understanding Missing Data in Formulas 127
Efficiently Calculating with Multiple Formulas 129
Chapter 10: Some Useful Functions 133
The LENGTH Function 134
The ANY Function 137
The MEAN Function and Missing Data 139
RND, TRUNC, and MOD 141
Logicals, the MISSING Function, and the NOT Function 143
String Parsing and Nesting Functions 144
Calculating Lags 146
Chapter 11: Combining Files