| Topic | Reading | Slides | Activities | Assess |
|---|---|---|---|---|
| \Welcome! | ||||
| Introduction to the class | Topic Overview Syllabus Help page |
lec00a | HW 0 Checklist "Quiz" In canvas | |
| How to use the class tools | lec00b | |||
| PROJECT Stage 1: Choosing your Research Data | Project Stage 1 | Data set proposal | ||
| Data Architecture | ||||
| The uses and structure of data | Topic Overview PMA6 Ch 2 Tidy data principles |
lec01 | Collab notes HW01 Data Entry | Quiz 01 |
| Formulating Research Questions | ||||
| Asking Answerable Questions | Topic Overview How to Write an Effective Research Question Poster prep Stage 2 |
lec02 | Collab Notes HW02 RQ Formulation | |
| PROJECT Stage 2: Introduce your research question and variables of interest | Project Stage 2 | |||
| Preparing data for analysis | ||||
| Reproducible workflows | Topic Overview PMA6 Ch 3 ASCN Ch 1, Appendix Project Structure by Danielle Navarro |
lec03a | Hello, Quarto HW03 Data Management | Quiz 02 |
| Data cleaning | lec03b | |||
| Describing distributions of data | ||||
| Describing a single categorical variable | Topic Overview PMA6 Ch 4 ASCN Ch 2.3 |
lec04 | HW04 Describing Distributions | Quiz 03 |
| Describing a single numeric variable | ||||
| Describing relationships between two variables | ||||
| Describing relationships between two variables | Topic Overview PMA6 Ch 4 IMS 1.2.4 Explantory and Response Variables ASCN Ch 2.4 |
lec05a | HW05 Describing Relationships | Quiz 04 |
| Best practices in Data Visualization | PMA6 Ch 4.6 | lec05b | ||
| PROJECT Stage 3: Exploratory Data Analysis | Project Stage 3 | |||
| Foundations for Inference | ||||
| Study Design | IMS - Chapter 2 | Collab notes 6 HW06 Foundations for Inference | [Quiz 05]() | |
| Statistical Inference with randomization | IMS Chapter 11-11.1 | lec06a | In class printed activity. | |
| Statistical Inference with mathmatical models | IMS - Chapter 13.1-13.3 | lec06b | CLT Explorer | [Quiz 06]() |
| Modeling Bivariate relationships | ||||
| Choosing appropriate analysis | ||||
| Two Sample T-Test | ||||
| ANOVA | ||||
| Chi-Squared | ||||
| Regression Modeling | ||||
| Correlation | ||||
| Simple Linear Regression | ||||
| Causation | ||||
| Confounding | ||||
| Multiple Linear Regression | ||||
| Model Building | ||||
Class Overview
⚠️ Details are subject to change. See Canvas for due dates.
Last Updated: Wed Sep 11 7:42:36 PM