Data Analysis with SPSS: A First Course in Applied Statistics Plus MySearchLab with eText -- Access Card Package

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.   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

Table of Contents:
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