Discovering Statistics Using SAS

Andy Field - University of Sussex, UK
Discovering Statistics Using SAS
February 2010 | 752 pages | Sage UK
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Description

Hot on the heels of Andy Field's best-selling Discovering Statistics Using SPSS, Third Edition (2009), the author has teamed up with a co-author, Jeremy Miles, to adapt this textbook for SAS® using the most up-to-date commands and programming language available in latest release 9.2.

SAS® is a very powerful and popular package used throughout the world in university education, especially in the Behavioral Sciences, Business, and Economics. As with its sister textbook, Discovering Statistics Using SAS® takes the entry level student from first principles right the way through to advanced level statistical concepts all the while grounding knowledge through the use of SAS®. Its approach is to teach statistical concepts as well as the computational principles, commands and language of the SAS® software package in one textbook, and given this comprehensive coverage this textbook should be enthusiastically adopted on a wide variety of statistics courses.

Following the same award-winning contents structure, accessible writing style and pedagogical approach (including a 'cast of characters' that feature in each chapter) as for its sister textbook, Discovering Statistics Using SAS® will be a hugely popular textbook for SAS® users pursuing courses in statistics who then need to apply their knowledge and skills to tackling research reports, dissertations or theses.

Key Features:

  • Starts with introductory statistical theory and methods and finishes with advanced level methods – the book for any research problem, and any level of course use
  • Provides features and characters that support the learning process throughout the book, from providing tips on how to enter data in SAS® properly to testing knowledge covered in chapters interactively
  • Employs a combination of invented and real published research datasets for students. Found on the Companion Website, along with a host of other materials for lecturers and students

A password-protected Instructor Teaching Site and an open-access Student Study Site are available for this book.

Contents

Why Is My Evil Lecturer Forcing Me to Learn Statistics?

Why Is My Evil Lecturer Forcing Me to Learn Statistics?

Everything You Ever Wanted to Know about Statistics (Well, Sort of)

Everything You Ever Wanted to Know about Statistics (Well, Sort of)

The SAS Environment

The SAS Environment

Exploring Data with Graphs

Exploring Data with Graphs

Exploring Assumptions

Exploring Assumptions

Correlation

Correlation

Regression

Regression

Logistic Regression

Logistic Regression

Comparing Two Means

Comparing Two Means

Comparing Several Means: ANOVA (GLM 1)

Comparing Several Means: ANOVA (GLM 1)

Analysis of Covariance, ANCOVA (GLM 2)

Analysis of Covariance, ANCOVA (GLM 2)

Factorial ANOVA (GLM 3)

Factorial ANOVA (GLM 3)

Repeated-Measures Designs (GLM 4)

Repeated-Measures Designs (GLM 4)

Mixed Design ANOVA (GLM 5)

Mixed Design ANOVA (GLM 5)

Non-Parametric Tests

Non-Parametric Tests

Multivariate Analysis of Variance (MANOVA)

Multivariate Analysis of Variance (MANOVA)

Exploratory Factor Analysis

Exploratory Factor Analysis

Categorical Data

Categorical Data

Multilevel Linear Models

Multilevel Linear Models

Additional materials

Description

Hot on the heels of Andy Field's best-selling Discovering Statistics Using SPSS, Third Edition (2009), the author has teamed up with a co-author, Jeremy Miles, to adapt this textbook for SAS® using the most up-to-date commands and programming language available in latest release 9.2.

SAS® is a very powerful and popular package used throughout the world in university education, especially in the Behavioral Sciences, Business, and Economics. As with its sister textbook, Discovering Statistics Using SAS® takes the entry level student from first principles right the way through to advanced level statistical concepts all the while grounding knowledge through the use of SAS®. Its approach is to teach statistical concepts as well as the computational principles, commands and language of the SAS® software package in one textbook, and given this comprehensive coverage this textbook should be enthusiastically adopted on a wide variety of statistics courses.

Following the same award-winning contents structure, accessible writing style and pedagogical approach (including a 'cast of characters' that feature in each chapter) as for its sister textbook, Discovering Statistics Using SAS® will be a hugely popular textbook for SAS® users pursuing courses in statistics who then need to apply their knowledge and skills to tackling research reports, dissertations or theses.

Key Features:

  • Starts with introductory statistical theory and methods and finishes with advanced level methods – the book for any research problem, and any level of course use
  • Provides features and characters that support the learning process throughout the book, from providing tips on how to enter data in SAS® properly to testing knowledge covered in chapters interactively
  • Employs a combination of invented and real published research datasets for students. Found on the Companion Website, along with a host of other materials for lecturers and students

A password-protected Instructor Teaching Site and an open-access Student Study Site are available for this book.

Contents

Why Is My Evil Lecturer Forcing Me to Learn Statistics?

Why Is My Evil Lecturer Forcing Me to Learn Statistics?

Everything You Ever Wanted to Know about Statistics (Well, Sort of)

Everything You Ever Wanted to Know about Statistics (Well, Sort of)

The SAS Environment

The SAS Environment

Exploring Data with Graphs

Exploring Data with Graphs

Exploring Assumptions

Exploring Assumptions

Correlation

Correlation

Regression

Regression

Logistic Regression

Logistic Regression

Comparing Two Means

Comparing Two Means

Comparing Several Means: ANOVA (GLM 1)

Comparing Several Means: ANOVA (GLM 1)

Analysis of Covariance, ANCOVA (GLM 2)

Analysis of Covariance, ANCOVA (GLM 2)

Factorial ANOVA (GLM 3)

Factorial ANOVA (GLM 3)

Repeated-Measures Designs (GLM 4)

Repeated-Measures Designs (GLM 4)

Mixed Design ANOVA (GLM 5)

Mixed Design ANOVA (GLM 5)

Non-Parametric Tests

Non-Parametric Tests

Multivariate Analysis of Variance (MANOVA)

Multivariate Analysis of Variance (MANOVA)

Exploratory Factor Analysis

Exploratory Factor Analysis

Categorical Data

Categorical Data

Multilevel Linear Models

Multilevel Linear Models

Additional materials

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Discovering Statistics Using SAS


February 2010 | 752 pages | Sage UK

Format Published Date ISBN Price

Hot on the heels of Andy Field's best-selling Discovering Statistics Using SPSS, Third Edition (2009), the author has teamed up with a co-author, Jeremy Miles, to adapt this textbook for SAS® using the most up-to-date commands and programming language available in latest release 9.2.

SAS® is a very powerful and popular package used throughout the world in university education, especially in the Behavioral Sciences, Business, and Economics. As with its sister textbook, Discovering Statistics Using SAS® takes the entry level student from first principles right the way through to advanced level statistical concepts all the while grounding knowledge through the use of SAS®. Its approach is to teach statistical concepts as well as the computational principles, commands and language of the SAS® software package in one textbook, and given this comprehensive coverage this textbook should be enthusiastically adopted on a wide variety of statistics courses.

Following the same award-winning contents structure, accessible writing style and pedagogical approach (including a 'cast of characters' that feature in each chapter) as for its sister textbook, Discovering Statistics Using SAS® will be a hugely popular textbook for SAS® users pursuing courses in statistics who then need to apply their knowledge and skills to tackling research reports, dissertations or theses.

Key Features:

  • Starts with introductory statistical theory and methods and finishes with advanced level methods – the book for any research problem, and any level of course use
  • Provides features and characters that support the learning process throughout the book, from providing tips on how to enter data in SAS® properly to testing knowledge covered in chapters interactively
  • Employs a combination of invented and real published research datasets for students. Found on the Companion Website, along with a host of other materials for lecturers and students

A password-protected Instructor Teaching Site and an open-access Student Study Site are available for this book.


Table Of Contents:

  • Why Is My Evil Lecturer Forcing Me to Learn Statistics?
  • Everything You Ever Wanted to Know about Statistics (Well, Sort of)
  • The SAS Environment
  • Exploring Data with Graphs
  • Exploring Assumptions
  • Correlation
  • Regression
  • Logistic Regression
  • Comparing Two Means
  • Comparing Several Means: ANOVA (GLM 1)
  • Analysis of Covariance, ANCOVA (GLM 2)
  • Factorial ANOVA (GLM 3)
  • Repeated-Measures Designs (GLM 4)
  • Mixed Design ANOVA (GLM 5)
  • Non-Parametric Tests
  • Multivariate Analysis of Variance (MANOVA)
  • Exploratory Factor Analysis
  • Categorical Data
  • Multilevel Linear Models

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