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MODULE8_WLS_GROUP_MEANS

MODULE8_WLS_GROUP_MEANS

MODULE8_WLS_GROUP_MEANS synthetic teaching data for Module 8 group-size weighting and aggregated-data precision.

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Structure

other

File type

CSV

Module

Course catalog

Visibility

public

Preview table

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.

Python loading code

import pandas as pd

# Download MODULE8_WLS_GROUP_MEANS from the dataset link first.
data = pd.read_stata("MODULE8_WLS_GROUP_MEANS.DTA")
print(data.head())

Check the variable dictionary and source documentation before dropping or recoding missing values.

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Get help with variables, graphs, regression questions, limitations, and Python loading code.

Variables dictionary

group_idnumeric

group_id used for Module 8 group-size weighting and aggregated-data precision.

Missing values: Review source documentation before recoding missing values.

group_sizenumeric

group_size used for Module 8 group-size weighting and aggregated-data precision.

Missing values: Review source documentation before recoding missing values.

mean_outcomenumeric

mean_outcome used for Module 8 group-size weighting and aggregated-data precision.

Missing values: Review source documentation before recoding missing values.

mean_incomenumeric

mean_income used for Module 8 group-size weighting and aggregated-data precision.

Missing values: Review source documentation before recoding missing values.

mean_educationnumeric

mean_education used for Module 8 group-size weighting and aggregated-data precision.

Missing values: Review source documentation before recoding missing values.

population_weightnumeric

population_weight used for Module 8 group-size weighting and aggregated-data precision.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.MODULE8_WLS_GROUP_MEANS is catalogued for Module 8 group-size weighting and aggregated-data precision. Installed data file; synthetic files are original practice data, and course files require license verification before public download.
  2. 2.Create one summary table and one graph that support an econometric question.
  3. 3.Write one limitation about measurement, missing data, or omitted variables.