Topic Areas
This is the place to start to find all content related to a topic. These are organized into “Modules” in Canvas.
| Topic | Dates | Description |
|---|---|---|
| Welcome to Fall 23 | 8/21 | Introduction to class and your learning materials |
| Data Architecture | 8/21 | Data entry, spreadsheets, metadata, codebooks |
| Formulating research questions | 8/28 | Asking questions is easy. Asking answerable questions is more difficult. |
| Preparing Data for Analysis | 8/30-9/10 | Where an inordinate amount of time is spent |
| Describing distributions of data | 9/11-9/17 | Visualizing your data is the first line of defense against bad data |
| Describing Relationships | 9/18-10/01 | First step in investigating a question about an association |
| Foundations for Statistical Inference | 9/27-10/9 | Study Design, Inference using randomization and the Normal Model |
| Modeling Bivariate Relationships | 10/11 - 10/25 | Identify and conduct the most appropriate analysis for a given research topic. |
| Moderation and Stratification | 10/30 - 11/1 | Identifing different trends within subgroups |
| Multiple Regression and Confounding | 11/06 - 11/12 | Because life isn’t bivariate |
| Generalized Linear Models | 11/13 - 11/18 | Transforming the response variable |
| Model Building | 11/27 - 11/29 | Part science, part art |
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