Weekly Overview

While the class is generally organized by calendar week, sometimes we will cover two topics in a week or one topic will span multiple weeks.

Due dates are displayed on the calendar only. Consider subscribing to this Google calendar and stay up to date!

Date	Topic	Details	Reading	HW
Week 1
08/22	Welcome	Introduction to the Class and your materials	Syllabus Help page PMA6 Ch 2	HW00 Getting Setup
08/22	Data architecture	Data entry, spreadsheets, metadata, codebooks	Tidy data principles (Optional)	HW01 Data Entry
08/24	Project Stage 1: Choosing your topic	Choosing project research data
Week 2
08/29	Formulating research questions	Asking questions is easy. Asking answerable questions is more difficult.	How to Write an Effective Research Question	HW02 RQ Formulation
08/31	Preparing data for analysis	Where an inordinate amount of time is spent	PMA6 Ch 3 ASCN Ch 1 Project Structure by Danielle Navarro	HW03 Data Management
Week 3
09/05	Labor Day. No Class
09/07	Data wrangling	Keep coding, coding, coding, keep them fingers flowing, keep them data scrolling, Compile!
Week 4
09/12	Describing distributions of data	Visualizing your data is the first line of defense against bad data	PMA6 Ch 4 ASCN Ch 2.3	HW04 Univariate Graphing
09/14	Project Stage 2: Introduce your research question and variables of interest			Poster prep Stage 2
Week 5
09/19	Describing relationships between two variables	First step in investigating a question about an association	PMA6 Ch 4 ASCN Ch 2.4	HW05 Graphing Relationships
Week 6
09/26	Best practices in Data Visualization	Just because you can add it to a graph, doesn’t mean you should.	PMA6 Ch 4.6 Slides
09/28	Project Stage 3: Exploratory Data Analysis			Poster prep Stage 3
Week 7
10/03	Study Design	How did the data come to be?	IMS - Chapter 2
10/05	Foundations for Inference	If all else fails, use “significant at p>.05 level” and hope no one notices.	IMS - Chapter 13.1-13.3 and IMS Chapter 11-11.1	Quiz: Quantifying Uncertainty Quiz: Foundations for Inference
Week 8
10/10	Foundations for Inference cont.	Inference with Mathematical Models
10/12	Modeling Bivariate relationships	Choosing appropriate analysis, T-tests for difference in means	ASCN Ch 5 IMS - Chapter 20](https://openintro-ims.netlify.app/inference-two-means.html)	HW06 Bivariate Modeling
Week 9
10/17		ANOVA & Kruskill Wallas	IMS - Chapter 22	Quiz: T-test & ANOVA
10/19		Chi-Square & Fishers Exact Test		Quiz: Chi-Square
Week 10
10/24		Correlation
10/24	Linear Modeling	Everything is a linear model.	PMA6 Ch 7 ASCN Ch 7 IMS Ch 24	Quiz: Regression Modeling
10/26	Project Stage 4: Bivariate Inference			Poster prep Stage 4
Week 11
10/31	Moderation and Stratification	Identifing different trends within subgroups	ASCN Ch 8	HW 07 Moderation Quiz: Moderation
Week 12
11/07	Multiple Regression, Confounding	Because life isn’t bivariate	PMA6 Ch 8 ASCN Ch 9	HW08 Multiple Regression
11/09	Categorical Predictors		PMA6 Ch 10.3 ASCN 10.1, 10.2
Week 13
11/14	Generalized Linear Models	Modeling binary and log transformed outcomes.	PMA6 Ch 12 ASCN 11	Quiz: Multiple Regression
Week 14
11/28	Model Building	Part science, part art	PMA6 8.11, 9 ASCN Ch 10
11/28	Project Stage 5: Multivariable Analysis & Conclusions			Poster prep Stage 5
11/30	Assessing Model Fit
Week 15
12/05	Develop Research Poster			Poster Guidelines
12/07	Other types of models
Finals
12/12	Poster Presentation			Monday 6pm-8pm.
12/16	Final Exam			Due Friday 12/16 EOD