MODULE7_CATEGORY_EFFECTS_SYNTHETIC
MODULE7_CATEGORY_EFFECTS_SYNTHETIC synthetic teaching data for Module 7 category indicators, base groups, ordinal coding, and non-base comparisons.
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_CATEGORY_EFFECTS_SYNTHETIC from the dataset link first.
data = pd.read_stata("MODULE7_CATEGORY_EFFECTS_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.
observation_id used for Module 7 category indicators, base groups, ordinal coding, and non-base comparisons.
Missing values: Review source documentation before recoding missing values.
outcome used for Module 7 category indicators, base groups, ordinal coding, and non-base comparisons.
Missing values: Review source documentation before recoding missing values.
region used for Module 7 category indicators, base groups, ordinal coding, and non-base comparisons.
Missing values: Review source documentation before recoding missing values.
industry used for Module 7 category indicators, base groups, ordinal coding, and non-base comparisons.
Missing values: Review source documentation before recoding missing values.
quality_rating used for Module 7 category indicators, base groups, ordinal coding, and non-base comparisons.
Missing values: Review source documentation before recoding missing values.
education used for Module 7 category indicators, base groups, ordinal coding, and non-base comparisons.
Missing values: Review source documentation before recoding missing values.
experience used for Module 7 category indicators, base groups, ordinal coding, and non-base comparisons.
Missing values: Review source documentation before recoding missing values.
group_code used for Module 7 category indicators, base groups, ordinal coding, and non-base comparisons.
Missing values: Review source documentation before recoding missing values.