• Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data.

• All major statistical techniques covered in beginning statistics classes are included:

· descriptive statistics

· graphing data

· prediction and association

· parametric inferential statistics

· nonparametric inferential statistics

· statistics for test construction

• Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics.

• Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test.

• More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS.

• A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms.

• Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program.

• Thoroughly field-tested; your students are certain to appreciate this book.

• Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data.

• All major statistical techniques covered in beginning statistics classes are included:

· descriptive statistics

· graphing data

· prediction and association

· parametric inferential statistics

· nonparametric inferential statistics

· statistics for test construction

• Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics.

• Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test.

• More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS.

• A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms.

• Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program.

• Thoroughly field-tested; your students are certain to appreciate this book.

How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report.

The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such a descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction.

More than 275 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS.

New to this edition:

How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report.

The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such a descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction.

More than 275 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS.

New to this edition:

• Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data.

• All major statistical techniques covered in beginning statistics classes are included:

· descriptive statistics

· graphing data

· prediction and association

· parametric inferential statistics

· nonparametric inferential statistics

· statistics for test construction

• Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics.

• Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test.

• More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS.

• A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms.

• Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program.

• Thoroughly field-tested; your students are certain to appreciate this book.

• Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data.

• All major statistical techniques covered in beginning statistics classes are included:

· descriptive statistics

· graphing data

· prediction and association

· parametric inferential statistics

· nonparametric inferential statistics

· statistics for test construction

• Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics.

• Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test.

• More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS.

• A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms.

• Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program.

• Thoroughly field-tested; your students are certain to appreciate this book.

How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report.

The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such a descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction.

More than 275 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS.

New to this edition:

How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report.

The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such a descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction.

More than 275 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS.

New to this edition: