├── .gitignore ├── Chapter 1 - The causal-behavioral framework for data analysis ├── ch01.ipynb ├── chap 1 - analyzing data - R notebook.Rmd ├── chap1-stand_data.csv └── chap1-survey_data.csv ├── Chapter 10 - Cluster Randomization and Hierarchical Modeling ├── ES_dat.csv ├── ch10.ipynb ├── chap 10 - analyzing data - R notebook.Rmd ├── chap10-experimental_data.csv ├── chap10-historical_data.csv └── sig_dat.csv ├── Chapter 11 - Introduction to Moderation ├── ch11.ipynb ├── chap 11 - analyzing data - R notebook.Rmd ├── chap11-historical_data.csv └── chap11-nonlin_data.csv ├── Chapter 12 - Mediation and Instrumental Variables ├── ch12.ipynb ├── chap 12 - analyzing data - R notebook.Rmd ├── chap10-experimental_data.csv └── chap11-historical_data.csv ├── Chapter 4 - Building Causal Diagrams From Scratch ├── H1.csv ├── H2.csv ├── ch04.ipynb ├── chap 4 - analyzing example data - R notebook.Rmd └── chap4-hotel_booking_case_study.csv ├── Chapter 6 - Handling missing data ├── ch06.ipynb ├── chap 6 - analyzing data - R notebook.Rmd ├── chap6-available_data.csv ├── chap6-available_data_supp.csv ├── chap6-complete_data.csv ├── chap6-tacoma.csv └── chap6-tampa.csv ├── Chapter 7 - Measuring uncertainty with the Bootstrap ├── ch07.ipynb └── chap 7 - main script - R notebook.Rmd ├── Chapter 8 - Experimental Design - the Basics ├── ch08.ipynb ├── chap 8 - analyzing data - R notebook.Rmd ├── chap8-experimental_data.csv ├── chap8-historical_data.csv └── eff_size_dat.csv ├── Chapter 9 - Stratified Randomization ├── Appendix_ proving the CACE formula.pdf ├── ch09.ipynb ├── chap 9 - analyzing data - R notebook.Rmd ├── chap9-experimental_data.csv ├── chap9-historical_data.csv ├── es_sim_res.csv └── pow_sim_res.csv ├── Exercises and solutions ├── 2004_Bertrand_Mullainathan.dta ├── 2007_Karlan_List.dta ├── AirCnC_MnM_exercises-generating_data.Rmd ├── AirCnC_MnM_exercises_data.csv ├── AirCnC_MnM_exercises_data_description.txt ├── Bertrand_Mullainathan_exercises-generating_data.Rmd ├── Bertrand_Mullainathan_exercises_data.csv ├── Bertrand_Mullainathan_exercises_data_description.txt ├── Karlan_List_exercises-generating_data.Rmd ├── Karlan_List_exercises_data.csv ├── Karlan_List_exercises_data_description.txt ├── chap10_exercises_solutions.Rmd ├── chap10_exercises_solutions.ipynb ├── chap11_exercises.pdf ├── chap11_exercises_solutions.Rmd ├── chap11_exercises_solutions.ipynb ├── chap12_exercises_solutions.Rmd ├── chap12_exercises_solutions.ipynb ├── chap2_exercises.pdf ├── chap2_exercises_solutions.Rmd ├── chap2_exercises_solutions.ipynb ├── chap3_exercises.pdf ├── chap3_exercises_solutions.pdf ├── chap4-hotel_booking_case_study.csv ├── chap4_exercises_solutions.Rmd ├── chap6_exercises.pdf ├── chap6_exercises_solutions.Rmd ├── chap6_exercises_solutions.ipynb ├── chap8_exercises.pdf ├── chap8_exercises_solutions.Rmd ├── chap8_exercises_solutions.ipynb ├── chap9_exercises_solutions.Rmd └── chap9_exercises_solutions.ipynb ├── LICENSE ├── Production code ├── Python │ ├── functions.py │ ├── test_cramer_v.py │ ├── test_strat_prep_fun.py │ └── test_stratified_assgnt_fun.py └── R │ ├── functions.R │ └── tests │ └── testthat │ ├── test_boot.CI.R │ ├── test_stratification.data.prep.R │ └── test_stratified.allocation.R ├── README.md └── library_install_script.R /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BuissonFlorent/BehavioralDataAnalysis/HEAD/.gitignore -------------------------------------------------------------------------------- /Chapter 1 - The causal-behavioral framework for data analysis/ch01.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BuissonFlorent/BehavioralDataAnalysis/HEAD/Chapter 1 - The causal-behavioral framework for data analysis/ch01.ipynb -------------------------------------------------------------------------------- /Chapter 1 - The causal-behavioral framework for data 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