SPSS Essentials: Managing and Analyzing Social Sciences Data

This book is an indispensible guide for practitioners and students who use SPSS 15.0 for Windows in their research. Comprehensive in scope, SPSS Essentials explains foundational concepts of SPSS: how to operate effectively within the SPSS environment, create and manipulate data, folders, and different types of data; how to specify and interpret the output of common inferential analyses (ANOVA, correlation, regression); how to integrate and use supplementary software programs such as Excel and Notepad, and other essential tools and concepts. Written in a highly engaging style, the book contains screen shots, step–by–step instructions, and a wealth of examples—all of which make this book a valuable addition to the teaching of research data management and analysis in the behavioral and social sciences.
Praise for SPSS Essentials:
Managing and Analyzing Social Sciences Data
"John Kulas′s unique and innovative method of systematically documenting and managing data is the solution that instructors and students have been waiting for. SPSS Essentials should become the standard method for documenting and managing data."
—Aaron U. Bolin, PhD, Bureau of Naval Personnel, United States Navy
"This book is an essential resource for undergraduate or graduate students or anyone else trying to learn SPSS syntax. Kulas has extensive experience using and teaching SPSS and presents the information in a clear, user–friendly, and even interesting manner!"
—Seth Kaplan, PhD, assistant professor of I/O Psychology, George Mason University
"All levels of SPSS users and practitioners will find this book useful and a valuable addition to their resource library. The book is well–organized, easy to read and the summary and key terms presented at the end of each chapter are of particular value."
—Will M. Bailey, principal statistician, WMB & Associates, Statistical Services
"The most critical, and often overloo ked, task of a researcher is accurate data management.?SPSS Essentials will help any first–time SPSS user avoid costly mistakes and manipulate data like a seasoned professional."
—Michael G. Anderson, PhD, research scientist, CPP, Inc.
John T. Kulas, PhD, is an organizational consultant and associate professor of psychology,
Saint Cloud State?University, St. Cloud, Minnesota. Additionally, Kulas is consulting editor to Journal of Psychology.

Spis treści:
Preface.
The Author.
PART ONE: FUNDAMENTALS OF DATA MANAGEMENT.
CHAPTER ONE: INTRODUCTION TO SPSS.
Chapter Learning Objectives.
What SPSS Is Used For.
How the Program Works.
CHAPTER TWO: HOW TO ORGANIZE YOUR SPSS LIFE.
Chapter Learning Objectives.
The Importance of Syntax Files.
Creating Your Project File Folders.
CHAPTER THREE: TYPES OF DATA.
Chapter Learning Objectives.
Understanding Your Data.
Conceptualizing Your Matrix.
Data Files.
Kinds of Data: An SPSS Perspective.
CHAPTER FOUR: CREATING AND ACCESSING DATA FILES.
Chapter Learning Objectives.
Before You Open SPSS.
Specifying Operations Through SPSS.
Creating Data Files the Hard Way.
Creating Data Files the Syntax Way.
Numeric Versus String Variables.
Working with Your Data Files.
Importing Data from Other Programs.
CHAPTER FIVE: DEFINING YOUR DATA.
Chapter Learning Objectives.
Notation.
Defi ning Your Dataset.
CHAPTER SIX: MANIPULATING YOUR DATA.
Chapter Learning Objectives.
Creating Scale Scores.
Learning the Command Language.
The Importance of Selecting All.
Using the Variables Tool.
Summary.
Key Terms.
Discussion Questions.
CHAPTER SEVEN: COLLAPSING AND MERGING DATA FILES.
Chapter Learning Objectives.
Same People, Different Information.
Different People, Same Information.
CHAPTER EIGHT: DIFFERENTIAL TREATMENT OF YOUR DATA.
Chapter Learning Objectives.
Isolating Interesting C ases.
PART TWO: SYNTHESIZING AND ANALYZING DATA.
CHAPTER NINE: REQUESTING OUTPUT.
Chapter Learning Objectives.
The “Descriptives” Command.
The “Frequencies” Command.
A General Note on Analyses.
A General Note About Output Files.
CHAPTER TEN: INFERENTIAL ANALYSES (T–TESTS).
Chapter Learning Objectives.
The T–Test.
CHAPTER ELEVEN: INFERENTIAL ANALYSES (ANOVAS).
Chapter Learning Objectives.
One–Way ANOVA (“One–Way” Command).
Repeated–Measures ANOVA (“GLM” Command).
Factorial ANOVA (“UNIANOVA” Command).
Follow–Up Contrasts.
Summary.
Key Terms.
Discussion Questions.
CHAPTER TWELVE: INFERENTIAL ANALYSES (CORRELATION OR REGRESSION).
Chapter Learning Objectives.
Correlation.
Simple Regression.
Multiple Regression.
PART THREE: ADVANCED MANIPULATIONS AND PROBLEM SOLVING.
CHAPTER THIRTEEN: USING YOUR OUTPUT.
Chapter Learning Objectives.
Problem Solving.
Maximizing Output Information.
CHAPTER FOURTEEN: OTHER TRICKS OF THE TRADE.
Chapter Learning Objectives.
Salvaging Old Syntax.
Tricking SPSS to “Think” Across Rows.
“Do If ” and “End If ”.
Summary.
Key Terms.
Discussion Questions.
Bibliography.
Other Useful References.
Appendixes.
Appendix A: Completed Questionnaire Form Example
Appendix B: Example Code Sheet for Questionnaire.
Appendix C: Summary of Creating and Defi ning a Data File.
Appendix D: Example Syntax File Integrating.
Multiple Commands (Fulfi lling Multiple Purposes).
Appendix E: Commands to Know, Organized by Importance.
Answers to Chapter Discussion Questions.
Glossary.
Index.

Okładka tylna:

This book is an indispensible guide for practitioners and students who use SPSS 15.0 for Windows in their research. Comprehensive in scope, SPSS Essentials expla ins foundational concepts of SPSS: how to operate effectively within the SPSS environment, create and manipulate data, folders, and different types of data; how to specify and interpret the output of common inferential analyses (ANOVA, correlation, regression); how to integrate and use supplementary software programs such as Excel and Notepad, and other essential tools and concepts. Written in a highly engaging style, the book contains screen shots, step–by–step instructions, and a wealth of examples—all of which make this book a valuable addition to the teaching of research data management and analysis in the behavioral and social sciences.
Praise for SPSS Essentials:
Managing and Analyzing Social Sciences Data
"John Kulas′s unique and innovative method of systematically documenting and managing data is the solution that instructors and students have been waiting for. SPSS Essentials should become the standard method for documenting and managing data."
—Aaron U. Bolin, PhD, Bureau of Naval Personnel, United States Navy
"This book is an essential resource for undergraduate or graduate students or anyone else trying to learn SPSS syntax. Kulas has extensive experience using and teaching SPSS and presents the information in a clear, user–friendly, and even interesting manner!"
—Seth Kaplan, PhD, assistant professor of I/O Psychology, George Mason University
"All levels of SPSS users and practitioners will find this book useful and a valuable addition to their resource library. The book is well–organized, easy to read and the summary and key terms presented at the end of each chapter are of particular value."
—Will M. Bailey, principal statistician, WMB & Associates, Statistical Services
"The most critical, and often overlooked, task of a researcher is accurate data management.?SPSS Essentials will help any first–time SPSS user avoid costly mistakes and manipulate data like a seas