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MODULE7_STUDENT_COMPLETION_SYNTHETIC

MODULE7_STUDENT_COMPLETION_SYNTHETIC

MODULE7_STUDENT_COMPLETION_SYNTHETIC synthetic teaching data for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

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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 MODULE7_STUDENT_COMPLETION_SYNTHETIC from the dataset link first.
data = pd.read_stata("MODULE7_STUDENT_COMPLETION_SYNTHETIC.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

student_idnumeric

student_id used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

completed_modulenumeric

completed_module used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

study_hoursnumeric

study_hours used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

prior_statistics_experiencenumeric

prior_statistics_experience used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

educator_supportnumeric

educator_support used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

learning_formatnumeric

learning_format used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

age_groupnumeric

age_group used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

employment_statusnumeric

employment_status used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

mobile_usernumeric

mobile_user used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

quiz_averagenumeric

quiz_average used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

notebooks_runnumeric

notebooks_run used for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.MODULE7_STUDENT_COMPLETION_SYNTHETIC is catalogued for Module 7 binary outcomes, LPMs, learning-format indicators, and completion probabilities. Installed original synthetic CSV; estimates are practice results, not real empirical findings.
  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.