Statistics Using Stata
An Integrative Approach
3rd Edition
Published on 30. November 2023
Book
Paperback/Softback
780 pages
978-1-009-39100-9 (ISBN)
Description
Statistics Using Stata uses a highly accessible and lively writing style to seamlessly integrate the learning of the latest version of Stata (17) with an introduction to applied statistics using real data in the behavioral, social, and health sciences. The text is comprehensive in its content coverage and is suitable at undergraduate and graduate levels. It requires knowledge of basic algebra, but no prior coding experience. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes a .do-file for each chapter, that was used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter.
Reviews / Votes
'Statistics Using Stata is an engaging and accessible introduction to the practice of statistics. Readers will benefit from the book's clear, step-by-step illustrations of statistical techniques and superb sample exercises, which use data and applications often encountered in the real world. Before they know it, users of this text will be confidently using Stata to analyze and interpret their own data.' Sean P. Corcoran, Vanderbilt University, USA 'This textbook has been extremely helpful in introducing students to issues in research design, instrument development, and data analysis. Every topic is explained clearly, with examples and code, making the preparation of lectures and recitation easier for me and my teaching assistants, and allowing students to review the material independently.' Alejandro Ganimian, New York University, USA 'Statistics Using Stata is a great intro stats text that assumes a minimal math background, provides good coverage of foundational topics, and has a lot of examples (code and data) to work through in Stata. I especially like the new chapter on public-use data sources. Great for teachers!' Peter F. Halpin, University of North Carolina, USAMore details
Edition
3rd Revised edition
Language
English
Place of publication
Cambridge
United Kingdom
Edition type
Revised edition
Product notice
Paperback (trade)
Illustrations
Worked examples or Exercises
Dimensions
Height: 254 mm
Width: 203 mm
Thickness: 42 mm
Weight
1640 gr
ISBN-13
978-1-009-39100-9 (9781009391009)
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
Additional editions
Sharon Lawner Weinberg | Sarah Knapp Abramowitz | Daphna Harel
Statistics Using Stata
An Integrative Approach
E-Book
11/2023
3rd Edition
Cambridge University Press
€80.49
Available for download
Previous edition
Book
02/2020
2nd Edition
Cambridge University Press
€98.11
No shipping information available
Persons
Sharon Lawner Weinberg is Professor of Applied Statistics and Psychology at New York University and formerly Vice Provost for Faculty Affairs at New York University, USA. She has taught, over many years in higher education, a broad range of statistics courses at both the undergraduate and graduate level, from introductory to advanced. She is a recipient of the NYU Steinhardt Teaching Excellence Award, the NYU Steinhardt Daniel Griffiths Award for Distinguished Research, and a four-time recipient of the Outstanding Reviewer Award for her work on the Editorial Board of the Educational Researcher, American Educational Research Association's (AERA's) flagship journal, as a reviewer of manuscripts submitted for publication. Her research has been supported by grants from both federal and private agencies, including the IES, NSF, and the Sloan Foundation, and she has published numerous papers on her research. She is the co-editor with NYU colleague, Lisa Stulberg, of Diversity in American Higher Education: Toward a More Comprehensive Approach (Routledge, 2011). She has also published numerous expository papers on methodology as book chapters and journal articles.
Content
1. Introduction; 2. Examining Univariate Distributions; 3. Measures of Location, Spread, and Skewness; 4. Re-expressing Variables; 5. Exploring Relationships Between Two Variables; 6. Simple Linear Regression; 7. Probability Fundamentals; 8. Theoretical Probability Models; 9. The Role of Sampling in Inferential Statistics; 10. Inferences Involving the Mean of a Single Population When ? is Known; 11. Inferences Involving the Mean When ? is Not Known: One- and Two-sample Designs; 12. Research Design: Introduction and Overview; 13. One-way Analysis of Variance; 14. Two-way Analysis of Variance; 15. Correlation and Simple Regression as Inferential Techniques; 16. An Introduction to Multiple Regression; 17. Two-way Interactions in Multiple Regression; 18. Nonparametric Methods; 19. Customizing and Exporting Tables to Microsoft Word and Excel Using the New Table Command; 20. Accessing Data from Public-use Sources.