Hardback ISBN: 9781009439947
Hardback publication date: 12 September 2024
Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021.
If you have difficulties viewing the site on Internet Explorer 11 we
recommend using a different browser such as Microsoft Edge, Google
Chrome, Apple Safari or Mozilla Firefox.
Home
> Search
Search
Refine search
Refine search
Access
Author
Keyword
Actions for selected content
2 results for
2 results
Can't find the content you are looking for?
To expand your search, find other books and research journals at Cambridge Core , or browse our catalogue at cambridge.org
Page 1 of 1
Elementary Statistics for Public Administration
An Applied Perspective
, Texas Tech University
Online ISBN: 9781009439930
Online publication date:
01 November 2024
Paperback ISBN: 9781009439954
Paperback publication date: 12 September 2024
Taking a simplified approach to statistics, this textbook teaches students the skills required to conduct and understand quantitative research. It provides basic mathematical instruction without compromising on analytical rigor, covering the essentials of research design; descriptive statistics; data visualization; and statistical tests including t-tests, chi-squares, ANOVAs, Wilcoxon tests, OLS regression, and logistic regression. Step-by-step instructions with screenshots are used to help students master the use of the freely accessible software R Commander. Ancillary resources include a solutions manual and figure files for instructors, and datasets and further guidance on using STATA and SPSS for students. Packed with examples and drawing on real-world data, this is an invaluable textbook for both undergraduate and graduate students in public administration and political science.
Taking a simplified approach to statistics, this textbook teaches students the skills required to conduct and understand quantitative research. It provides basic mathematical instruction without compromising on analytical rigor, covering the essentials of research design; descriptive statistics; data visualization; and statistical tests including t-tests, chi-squares, ANOVAs, Wilcoxon tests, OLS regression, and logistic regression. Step-by-step instructions with screenshots are used to help students master the use of the freely accessible software R Commander. Ancillary resources include a solutions manual and figure files for instructors, and datasets and further guidance on using STATA and SPSS for students. Packed with examples and drawing on real-world data, this is an invaluable textbook for both undergraduate and graduate students in public administration and political science.
Applied Regression Models in the Social Sciences
, Texas A&M University, , University of North Carolina, Chapel Hill, , Mount St. Mary’s University
Online ISBN: 9781108923071
Online publication date:
17 August 2023
Hardback ISBN: 9781108831024
Hardback publication date: 17 August 2023
Paperback ISBN: 9781108926263
Paperback publication date: 17 August 2023
This accessible and practical textbook gives students the perfect guide to the use of regression models in testing and evaluating hypotheses dealing with social relationships. A range of statistical methods suited to a wide variety of dependent variables is explained, which will allow students to read, understand, and interpret complex statistical analyses of social data. Each chapter contains example applications using relevant statistical methods in both Stata and R, giving students direct experience of applying their knowledge. A full suite of online resources - including statistical command files, datasets and results files, homework assignments, class discussion topics, PowerPoint slides, and exam questions - supports the student to work independently with the data, and the instructor to deliver the most effective possible course. This is the ideal textbook for advanced undergraduate and beginning graduate students taking courses in applied social statistics.
This accessible and practical textbook gives students the perfect guide to the use of regression models in testing and evaluating hypotheses dealing with social relationships. A range of statistical methods suited to a wide variety of dependent variables is explained, which will allow students to read, understand, and interpret complex statistical analyses of social data. Each chapter contains example applications using relevant statistical methods in both Stata and R, giving students direct experience of applying their knowledge. A full suite of online resources - including statistical command files, datasets and results files, homework assignments, class discussion topics, PowerPoint slides, and exam questions - supports the student to work independently with the data, and the instructor to deliver the most effective possible course. This is the ideal textbook for advanced undergraduate and beginning graduate students taking courses in applied social statistics.
Page 1 of 1