Data Analysis with SPSS
A First Course in Applied Statistics Plus MySearchLab with eText -- Access Card Package
4th Edition
Published on 6. November 2012
Book
Mixed media product
288 pages
978-0-205-86372-3 (ISBN)
Description
ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.
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--Data Analysis with SPSS is designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today.
Written in ten manageable chapters, this book first introduces students to the approach researchers use to frame research questions and the logic of establishing causal relations. Students are then oriented to the SPSS program and how to examine data sets. Subsequent chapters guide them through univariate analysis, bivariate analysis, graphic analysis, and multivariate analysis. Students conclude their course by learning how to write a research report and by engaging in their own research project.
Each book is packaged with a disk containing the GSS (General Social Survey) file and the States data files. The GSS file contains 100 variables generated from interviews with 2,900 people, concerning their behaviors and attitudes on a wide variety of issues such as abortion, religion, prejudice, sexuality, and politics. The States data allows comparison of all 50 states with 400 variables indicating issues such as unemployment, environment, criminality, population, and education. Students will ultimately use these data to conduct their own independent research project with SPSS.
Note: MySearchLab does not come automatically packaged with this text. To purchase MySearchLab, please visit: www.mysearchlab.com or you can purchase a ValuePack of the text + MySearchLab with Pearson eText (at no additional cost). ValuePack ISBN-10: 0205863728 / ValuePack ISBN-13: 9780205863723
Packages
Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase.
Used or rental books
If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code.
Access codes
Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase.
--Data Analysis with SPSS is designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today.
Written in ten manageable chapters, this book first introduces students to the approach researchers use to frame research questions and the logic of establishing causal relations. Students are then oriented to the SPSS program and how to examine data sets. Subsequent chapters guide them through univariate analysis, bivariate analysis, graphic analysis, and multivariate analysis. Students conclude their course by learning how to write a research report and by engaging in their own research project.
Each book is packaged with a disk containing the GSS (General Social Survey) file and the States data files. The GSS file contains 100 variables generated from interviews with 2,900 people, concerning their behaviors and attitudes on a wide variety of issues such as abortion, religion, prejudice, sexuality, and politics. The States data allows comparison of all 50 states with 400 variables indicating issues such as unemployment, environment, criminality, population, and education. Students will ultimately use these data to conduct their own independent research project with SPSS.
Note: MySearchLab does not come automatically packaged with this text. To purchase MySearchLab, please visit: www.mysearchlab.com or you can purchase a ValuePack of the text + MySearchLab with Pearson eText (at no additional cost). ValuePack ISBN-10: 0205863728 / ValuePack ISBN-13: 9780205863723
More details
Edition
4th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Weight
658 gr
ISBN-13
978-0-205-86372-3 (9780205863723)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Stephen A. Sweet | Karen A. Grace-Martin
Data Analysis with SPSS
Book
02/2014
5th Edition
Pearson
€70.75
Article is exhausted; no reprint
Previous edition
Stephen A. Sweet | Karen A. Grace-Martin
Data Analysis with SPSS
Book
01/2008
3rd Edition
Pearson
€60.24
Article exhausted; check for reprint
Content
TABLE OF CONTENTS:
1. BRIEF
2. COMPREHENSIVE
BRIEF TABLE OF CONTENTS
Chapter 1 * Key Concepts in Social Science Research
Chapter 2 * Getting Started: Accessing, Examining, and Saving
Chapter 3 * Univariate Analysis: Descriptive Statistics
Chapter 4 * Constructing Variables
Chapter 5 * Assessing Association through Bivariate Analysis
Chapter 6 * Comparing Group Means through Bivariate Analysis
Chapter 7 * Modeling Relationships of Multiple Variables with Linear Regression
Chapter 8 * Logistic Regression
Chapter 9 * Writing a Research Report
Chapter 10 * Research Projects
COMPREHENSIVE TABLE OF CONTENTS
Chapter 1 * Key Concepts in Social Science Research
Overview
Framing Topics Into Research Questions
Theories and Hypotheses
Population and Samples
Relationships and Causality
Data Sets
Parts of a Data Set
Reliability and Validity
Summary
Key Terms
Exercises
Chapter 2 * Getting Started: Accessing, Examining, and Saving Data
Overview
The Layout of SPSS
Types of Variables
Initial Settings
Defining and Saving a New Data Set
Managing Data Sets: Dropping and Adding Variables, Merging Data Sets
Dropping and Adding Variables
Merging and Importing Files
Loading and Examining an Existing File
Summary
Key Terms
Exercises
Chapter 3 * Univariate Analysis: Descriptive Statistics
Overview
Why Do Researchers Perform Univariate Analysis?
Exploring Distributions of Scale Variables
Exploring Distributions of Categorical Variables
Summary
Key Terms
Exercises
Chapter 4 * Constructing Variables
Overview
Why Construct New Variables From Existing Data?
Recoding Existing Variables
Computing New Variables
Recording Computations Using Syntax
Minimizing Missing Values in Computing New Variables
Summary
Key Terms
Exercises
Chapter 5 * Assessing Association through Bivariate Analysis
Overview
Why Do We Need Significance Tests?
Analyzing Bivariate Relationships Between Two Categorical Variables
Analyzing Bivariate Relationships Between Two Scale Variables
Summary
Key Terms
Exercises
Chapter 6 * Comparing Group Means through Bivariate Analysis
Overview
One-Way Analysis of Variance
Post-hoc Tests
Assumptions of ANOVA
Graphing the Results of ANOVA
T tests
Summary
Key Terms
Exercises
Chapter 7 * Modeling Relationships of Multiple Variables with Linear Regression
Overview
The Advantages of Modeling Relationships in Multiple Regression
Linear Regression: A Bivariate Example
Multiple Linear Regression
Other Concerns In Applying Linear Regression
Building Multiple Variable Models
Summary
Key Terms
Exercises
Chapter 8 * Logistic Regression
Overview
What Is Logistic Regression?
When Can I Use a Logistic Regression?
Understanding Relationships through Probabilities
Logistic Regression: A Bivariate Example
Multiple Variable Logistic Regression: An Example
Summary
Key Terms
Exercises
Chapter 9 * Writing a Research Report
Overview
Writing Style and Audience
The Structure of a Report
Summary
Key Terms
Exercises
Chapter 10 * Research Projects
Potential Research Projects
Research Project 1: Racism
Research Project 2: Suicide
Research Project 3: Criminality
Research Project 4: Welfare and Other Public Aid Consumption
Research Project 5: Sexual Behavior
Research Project 6: Education
Research Project 7: Health
Research Project 8: Happiness
Research Project 9: Your Topic
1. BRIEF
2. COMPREHENSIVE
BRIEF TABLE OF CONTENTS
Chapter 1 * Key Concepts in Social Science Research
Chapter 2 * Getting Started: Accessing, Examining, and Saving
Chapter 3 * Univariate Analysis: Descriptive Statistics
Chapter 4 * Constructing Variables
Chapter 5 * Assessing Association through Bivariate Analysis
Chapter 6 * Comparing Group Means through Bivariate Analysis
Chapter 7 * Modeling Relationships of Multiple Variables with Linear Regression
Chapter 8 * Logistic Regression
Chapter 9 * Writing a Research Report
Chapter 10 * Research Projects
COMPREHENSIVE TABLE OF CONTENTS
Chapter 1 * Key Concepts in Social Science Research
Overview
Framing Topics Into Research Questions
Theories and Hypotheses
Population and Samples
Relationships and Causality
Data Sets
Parts of a Data Set
Reliability and Validity
Summary
Key Terms
Exercises
Chapter 2 * Getting Started: Accessing, Examining, and Saving Data
Overview
The Layout of SPSS
Types of Variables
Initial Settings
Defining and Saving a New Data Set
Managing Data Sets: Dropping and Adding Variables, Merging Data Sets
Dropping and Adding Variables
Merging and Importing Files
Loading and Examining an Existing File
Summary
Key Terms
Exercises
Chapter 3 * Univariate Analysis: Descriptive Statistics
Overview
Why Do Researchers Perform Univariate Analysis?
Exploring Distributions of Scale Variables
Exploring Distributions of Categorical Variables
Summary
Key Terms
Exercises
Chapter 4 * Constructing Variables
Overview
Why Construct New Variables From Existing Data?
Recoding Existing Variables
Computing New Variables
Recording Computations Using Syntax
Minimizing Missing Values in Computing New Variables
Summary
Key Terms
Exercises
Chapter 5 * Assessing Association through Bivariate Analysis
Overview
Why Do We Need Significance Tests?
Analyzing Bivariate Relationships Between Two Categorical Variables
Analyzing Bivariate Relationships Between Two Scale Variables
Summary
Key Terms
Exercises
Chapter 6 * Comparing Group Means through Bivariate Analysis
Overview
One-Way Analysis of Variance
Post-hoc Tests
Assumptions of ANOVA
Graphing the Results of ANOVA
T tests
Summary
Key Terms
Exercises
Chapter 7 * Modeling Relationships of Multiple Variables with Linear Regression
Overview
The Advantages of Modeling Relationships in Multiple Regression
Linear Regression: A Bivariate Example
Multiple Linear Regression
Other Concerns In Applying Linear Regression
Building Multiple Variable Models
Summary
Key Terms
Exercises
Chapter 8 * Logistic Regression
Overview
What Is Logistic Regression?
When Can I Use a Logistic Regression?
Understanding Relationships through Probabilities
Logistic Regression: A Bivariate Example
Multiple Variable Logistic Regression: An Example
Summary
Key Terms
Exercises
Chapter 9 * Writing a Research Report
Overview
Writing Style and Audience
The Structure of a Report
Summary
Key Terms
Exercises
Chapter 10 * Research Projects
Potential Research Projects
Research Project 1: Racism
Research Project 2: Suicide
Research Project 3: Criminality
Research Project 4: Welfare and Other Public Aid Consumption
Research Project 5: Sexual Behavior
Research Project 6: Education
Research Project 7: Health
Research Project 8: Happiness
Research Project 9: Your Topic