Teaching intro stats or quant methods? #rstatsbit.ly/dss_bookbit.ly/teaching_dss Selected praise ⬇️
How to access my practice exercises? 1. Install R cran.rstudio.composit.co/download/rst...bit.ly/dss_ex_ch1#rstatsbit.ly/dss_ex_ch2 (chapter 2: causation + experiments) 4. Highlight all text in R Script and click "Run"
And, in case it is helpful, here is the GitHub repository with all the practice exercises I have created thus far: github.com/ellaudet/dss... My goal is to eventually create a set of practice exercises for every chapter of our book.
Practice Exercises for Data Analysis for Social Science (DSS) - ellaudet/dsslearnr
If you get a chance to look at them, I would LOVE to get your feedback! (This is still very much a work in progress.) To share your comments/suggestions, please complete this short and anonymous (if that's your preference) survey: bit.ly/dss_feedback Thank you in advance! 🙏
You can access the practice exercises related to Chapter 2 (Estimating Causal Effects with Randomized Experiments) by running the code in this R script in RStudio: bit.ly/dss_ex_ch2#causalinference#causality
Shared with Dropbox
You can access the practice exercises related to Chapter 1 (Introduction to R, RStudio, and data analysis) by running the code in this R script in RStudio: bit.ly/dss_ex_ch1#rstats
Shared with Dropbox
So far, I have only created practice exercises for Chapters 1 and 2 of our textbook for beginners, Data Analysis for Social Science: bit.ly/dss_book Would you like to take a look? ...
Feel free to share with your own students!
thanks to awesome work by Thomas Hershewe, the CES now has a single shiny app where you can analyze the vote for either house or president across the entire CES time series cooperativeelectionstudy.shinyapps.io/VoteTrends/