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Beschreibung
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.
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.
Über den Autor
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.
Inhaltsverzeichnis
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.
Details
| Erscheinungsjahr: | 2023 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 780 |
| ISBN-13: | 9781009391009 |
| ISBN-10: | 1009391003 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Weinberg, Sharon Lawner |
| Hersteller: | Cambridge University Press |
| Maße: | 254 x 203 x 42 mm |
| Von/Mit: | Sharon Lawner Weinberg |
| Erscheinungsdatum: | 27.10.2023 |
| Gewicht: | 1,64 kg |
Über den Autor
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.
Inhaltsverzeichnis
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.
Details
| Erscheinungsjahr: | 2023 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 780 |
| ISBN-13: | 9781009391009 |
| ISBN-10: | 1009391003 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Weinberg, Sharon Lawner |
| Hersteller: | Cambridge University Press |
| Maße: | 254 x 203 x 42 mm |
| Von/Mit: | Sharon Lawner Weinberg |
| Erscheinungsdatum: | 27.10.2023 |
| Gewicht: | 1,64 kg |
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