(eBook PDF) Understanding Social Statistics: A Student’s Guide to Navigating the Maze – Digital Ebook – Instant Delivery Download
Product details:
- ISBN-10 : 0195444299
- ISBN-13 : 978-0195444292
- Author: Lance W. Roberts, Jason Edgerton, Tracey Peter, Lori Wilkinson
USS acts as both a map and toolkit for navigating the maze of social statistics successfully. At every point in each chapter, students will have a clear idea of where they are and in which direction they are headed. A 5-step learning model applied to each theoretical concept ensures that readers have a predictable and reliable method for approaching every statistical situation they encounter-by working their way through the 5 steps, readers are guaranteed a way forward. Along the way they will collect all the tools they need to perform statistical analysis and learn to use them competently.
Table contents:
Chapter 1. Life in a Data-Laden Age: Finding and Managing Datasets
Chapter 2. The Art of Visual Storytelling: Creating Accurate Tables and Graphs
Chapter 3. Summarizing Center and Diversity: Basic Descriptive Statistics
Chapter 4. Using Sample Crosstabs to Talk About Populations: The Chi-square Test
Chapter 5. Using a Sample Mean or Proportion to Talk About a Population: Confidence Intervals
Chapter 6. Using Multiple Sample Means to Talk About Populations: T–Tests and ANOVA
Chapter 7. Give me One Good Reason Why: Bivariate Correlation and Regression
Chapter 8. Using Sample Slopes to Talk About Populations: Inference and Regression
Chapter 9. It’s All Relative: Dichotomies as Independent Variables in Regression
Chapter 10. Above and Beyond: The Logic of Controlling and the Power of Nested Regression Models
Chapter 11. Some Slopes are Bigger than Others: Calculating and Interpreting Beta Coefficients
Chapter 12. Different Slopes for Different Folks: Interaction Effects
Chapter 13. Explaining Dichotomous Outcomes: Logistic Regression
Chapter 14. Visualizing Causal Stories: Path Analysis
Chapter 15. Questioning the Greatness of Straightness: Nonlinear Relationships
Chapter 16. Problems and Prospects: Regression Diagnostics, Advanced Techniques, and Where to Go Now
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