Ibm Spss Essentials - Managing and Analyzing Social Sciences Data

Master the fundamentals of SPSS with this newly updated and instructive resource
 
The newly and thoroughly revised Second Edition of SPSS Essentials delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) for the effective collection, management, and analysis of data. The accomplished researchers and authors provide readers with the practical nuts and bolts of SPSS usage and data entry, with a particular emphasis on managing and manipulating data.
 
The book offers an introduction to SPSS, how to navigate it, and a discussion of how to understand the data the reader is working with. It also covers inferential statistics, including topics like hypothesis testing, one-sample Z-testing, T-testing, ANOVAs, correlations, and regression. Five unique appendices round out the text, providing readers with discussions of dealing with real-world data, troubleshooting, advanced data manipulations, and new workbook activities.
 
SPSS Essentials offers a wide variety of features, including:
* A revised chapter order, designed to match the pacing and content of typical undergraduate statistics classes
* An explanation of when particular inferential statistics are appropriate for use, given the nature of the data being worked with
* Additional material on understanding your data sample, including discussions of SPSS output and how to find the most relevant information
* A companion website offering additional problem sets, complete with answers
 
Perfect for undergraduate students of the social sciences who are just getting started with SPSS, SPSS Essentials also belongs on the bookshelves of advanced placement high school students and practitioners in social science who want to brush up on the fundamentals of this powerful and flexible software package.

List of contents

Preface xiii
 
Acknowledgments xvii
 
Author Biography xix
 
Part I Introduction 1
 
1 What is SPSS? 3
 
Chapter Learning Objectives 3
 
What Is SPSS Used For 4
 
The Power of SPSS 5
 
SPSS Compared to Other Programs 5
 
Summary 6
 
Key Terms 6
 
Discussion Questions 6
 
2 Navigating SPSS 7
 
Chapter Learning Objectives 7
 
How the Program Works 7
 
Important File Types 8
 
Data Files 8
 
Syntax Files 10
 
Output Files 10
 
The "Others" 11
 
Managing Your SPSS Life 11
 
The Importance of Maintaining the Raw Data as an "Untouched" File 12
 
Summary 13
 
Key Terms 13
 
Discussion Questions 13
 
3 Introduction to Data 15
 
Chapter Learning Objectives 15
 
Understanding Your Data 16
 
Independent Versus Dependent Variables 16
 
Scales of Measurement 16
 
The SPSS Data Perspective 17
 
Data Represented by Numbers (Numeric) 17
 
Data Represented by Words (String) 18
 
The Other Variable Types 18
 
Your Data in SPSS - Think Matrices 19
 
Summary 20
 
Key Terms 21
 
Discussion Questions 21
 
4 Getting Your Data into SPSS 23
 
Chapter Learning Objectives 23
 
Before SPSS 24
 
Specifying Operations Through SPSS 25
 
Creating a Data Shell 25
 
Creating Data Files Via Syntax 28
 
Numeric Versus String Variables 29
 
Data Entry Within the Syntax File 31
 
"Saving" Populated Datafiles 33
 
Having SPSS Auto-Generate Your Syntax 34
 
Controlling Your "Open" Datafiles 35
 
Summary 37
 
Key Terms 38
 
Discussion Questions 39
 
References 39
 
5 Accessing Your Data 41
 
Chapter Learning Objectives 41
 
Accessing Your Data Files 42
 
Get File and Save Outfile 43
 
Creating Subsets of Data 44
 
Importing Data from Excel 44
 
Using the Import Data Wizard 45
 
The Copy-Paste "Option" (aka This Is a Terrible Idea) 47
 
Summary 48
 
Key Terms 48
 
Discussion Questions 48
 
6 Defining Your Data 49
 
Chapter Learning Objectives 49
 
Annotation 50
 
Defining Your Dataset 51
 
Adding Variable Labels 51
 
Adding Value Labels 52
 
Summary 54
 
Key Terms 55
 
Discussion Questions 55
 
Part II Statistics 57
 
7 Descriptive Statistics 59
 
Chapter Learning Objectives 59
 
Frequencies 60
 
Displaying Data Graphically 62
 
Location and Spread 63
 
Descriptive Statistics 65
 
Measures of Central Tendency and Variability 65
 
A General Note on Analyses 67
 
A General Note About Output Files 68
 
Summary 68
 
Key Terms 68
 
Discussion Questions 69
 
8 Hypothesis Testing 71
 
Chapter Learning Objectives 71
 
Descriptive Versus Inferential Statistics 72
 
Hypothesis Testing (A Process for Interpreting Inferential Statistics) 72
 
Six Steps of Hypothesis Testing 73
 
Summary 75
 
Key Terms 75
 
Discussion Questions 76
 
9 Z-and T-Tests 77
 
Chapter Learning Objectives 77
 
The One Sample Z-Test 78
 
The t-Test 80
 
One-Sample T-Test 80
 
Two Independent Samples T-Test 84
 
Two Correlated/Paired Samples T-Test 88
 
Summary 93
 
Key Terms 93
 
Discussion Ques

About the author

JOHN T. KULAS, PhD, is a Professor of Industrial and Organizational Psychology at Montclair State University in Montclair, NJ, United States. RENATA GARCIA PRIETO PALACIOS ROJI, MA, is a PhD candidate in Industrial and Organizational Psychology at Montclair State University in Montclair, NJ, United States. ADAM M. SMITH, PhD, is an associate consultant at Kincentric and adjunct instructor at Wentworth Institute of Technology and Harvard University.

Summary

Master the fundamentals of SPSS with this newly updated and instructive resource

The newly and thoroughly revised Second Edition of SPSS Essentials delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) for the effective collection, management, and analysis of data. The accomplished researchers and authors provide readers with the practical nuts and bolts of SPSS usage and data entry, with a particular emphasis on managing and manipulating data.

The book offers an introduction to SPSS, how to navigate it, and a discussion of how to understand the data the reader is working with. It also covers inferential statistics, including topics like hypothesis testing, one-sample Z-testing, T-testing, ANOVAs, correlations, and regression. Five unique appendices round out the text, providing readers with discussions of dealing with real-world data, troubleshooting, advanced data manipulations, and new workbook activities.

SPSS Essentials offers a wide variety of features, including:
* A revised chapter order, designed to match the pacing and content of typical undergraduate statistics classes
* An explanation of when particular inferential statistics are appropriate for use, given the nature of the data being worked with
* Additional material on understanding your data sample, including discussions of SPSS output and how to find the most relevant information
* A companion website offering additional problem sets, complete with answers

Perfect for undergraduate students of the social sciences who are just getting started with SPSS, SPSS Essentials also belongs on the bookshelves of advanced placement high school students and practitioners in social science who want to brush up on the fundamentals of this powerful and flexible software package.

Product details

• Authors: John Kulas, John T Kulas, John T. Kulas, John T. (Northern Illinois University Kulas, John T. Prieto Palacios Roji Kulas, Jt Kulas, Kulas John T., Renata Garci Prieto Palacios Roji, Renata Garcia Prieto Palacios Roji, Adam M. Smith, Smith Adam M.
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 30.11.2020
• EAN: 9781119417422
• ISBN: 978-1-119-41742-2
• No. of pages: 288
• Subjects: Natural sciences, medicine, IT, technology > Mathematics; Statistik, Psychologie, Statistics, SPSS, Psychology, Psychologische Methoden, Forschung u. Statistik, Psychological Methods, Research & Statistics, Statistics for Social Sciences, Statistik in den Sozialwissenschaften, Statistical Software / SPSS, Statistiksoftware / SPSS