Elementary Statistics for Public Administration
Cambridge University Press (Verlag)
978-1-009-43995-4 (ISBN)
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.
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.
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.
| Erscheinungsdatum | 12.09.2024 |
|---|---|
| Zusatzinfo | Worked examples or Exercises |
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 177 x 253 mm |
| Gewicht | 840 g |
| Themenwelt | Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 1-009-43995-2 / 1009439952 |
| ISBN-13 | 978-1-009-43995-4 / 9781009439954 |
| Zustand | Neuware |
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