Statistics using Stata: an integrative approach

By:

Weinberg, Sharon Lawner

Contributor(s):

Material type: Text

TextPublication details: Cambridge University Press New York 2024Edition: 3rdDescription: xix, 759 pISBN:

9781009391009

Subject(s):

DDC classification:

519.50285 WEI

Summary: 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. (https://www.cambridge.org/in/universitypress/subjects/psychology/psychology-research-methods-and-statistics/statistics-using-stata-integrative-approach-3rd-edition?format=PB)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	519.50285 WEI (Browse shelf(Opens below))	1	Available		007707

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.

(https://www.cambridge.org/in/universitypress/subjects/psychology/psychology-research-methods-and-statistics/statistics-using-stata-integrative-approach-3rd-edition?format=PB)

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