Elementary Statistics for Public Administration - An Applied Perspective

"Preparing public administration students for practice, this textbook simplifies statistics without compromising analytical and empirical rigor. It includes in-depth instruction of the open statistics software R Commander, including step-by-step screenshots and using applied and theoretical data"--

List of contents

1. Introduction; 2. Basic Research Design; 3. Measurement; 4. Good Data Collection; 5. R Software and the R Commander; 6. Central Tendency; 7. Dispersion; 8. Data Visualization; 9. Sampling and Inference; 10. T-Tests; 11. Analysis of Variance (ANOVA); 12. Chi-Square; 13. Ordinal Dependent Variables; 14. Bivariate Regression; 15. Multivariate Regression; 16. Regression Assumptions; 17. Interactive Relationships and Interaction Terms in Regression; 18. Logistic Regression.

About the author

Daniel S. Scheller is Associate Professor of Public Administration and Director of the Master of Public Administration (MPA) program in the Department of Political Science at Texas Tech University, USA. His research interests are in urban policy, neighborhood development, housing, and civic participation.

Product details

• Authors: Daniel S Scheller, Daniel S. Scheller, Daniel S. (Texas Tech University) Scheller
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 01.09.2024
• EAN: 9781009439947
• ISBN: 978-1-0-0943994-7
• No. of pages: 414
• Subjects: Social sciences, law, business > Sociology > Sociological theories; SOCIAL SCIENCE / Research, SOCIAL SCIENCE / Statistics, POLITICAL SCIENCE / Public Affairs & Administration, REFERENCE / Research, Public Administration, Social research & statistics, Social research and statistics, Research methods: general, For undergraduate education and equivalents