MODULE7_PROGRAM_EVALUATION_SYNTHETIC
MODULE7_PROGRAM_EVALUATION_SYNTHETIC synthetic teaching data for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Structure
other
File type
CSV
Module
Course catalog
Visibility
public
Preview rows are shown when safely installed in the app. External or licensed files may need to be opened from the source link.
No local preview table is installed for this dataset. Use the download/source link, then load it with the Python example below.
import pandas as pd
# Download MODULE7_PROGRAM_EVALUATION_SYNTHETIC from the dataset link first.
data = pd.read_stata("MODULE7_PROGRAM_EVALUATION_SYNTHETIC.DTA")
print(data.head())Check the variable dictionary and source documentation before dropping or recoding missing values.
Get help with variables, graphs, regression questions, limitations, and Python loading code.
participant_id used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.
treatment used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.
outcome used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.
baseline_score used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.
income used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.
age used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.
prior_experience used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.
motivation_score used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.
random_assignment used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.
self_selected used for Module 7 treatment indicators, randomized comparisons, and self-selection warnings.
Missing values: Review source documentation before recoding missing values.