Buch, Englisch, 100 Seiten, Format (B × H): 172 mm x 250 mm, Gewicht: 194 g
Buch, Englisch, 100 Seiten, Format (B × H): 172 mm x 250 mm, Gewicht: 194 g
ISBN: 978-1-009-24824-2
Verlag: Cambridge University Press
A Stata Companion for The Fundamentals of Social Research offers students the opportunity to delve into the world of Stata using real data sets and statistical analysis techniques directly from Paul M. Kellstedt, Guy D. Whitten, and Steven A. Tuch's new textbook. Workbook sections parallel chapters in the main text, giving students a chance to apply the lessons and techniques learned in each chapter in a statistical software setting. Detailed chapters teach students to reproduce results presented in the textbook, allowing them to become comfortable performing statistical analyses for evaluating causal claims through repeated practice. Step-by-step instructions for using Stata are provided, along with command lines and screenshots to demonstrate proper use of the software. Instructions for producing the figures and tables in the main text are integrated throughout the workbook. End-of-chapter exercises encourage students to formulate and evaluate their own hypotheses.
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Sozialprognosen
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Gesellschaftstheorie
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
Weitere Infos & Material
List of figures; Preface; 1. The Scientific Study of Society; 2. The Art of Theory Building; 3. Evaluating Causal Relationships; 4. Research Design; 5. Survey Research; 6. Measuring Concepts of Interest; 7. Getting to Know Your Data; 8. Probability and Statistical Inference; 9. Bivariate Hypothesis Testing; 10. Two-variable Regression Models; 11. Multiple Regression: The Basics; 12. Putting it all Together to Produce Effective Research; References; Index.