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Data quality analysis pipeline and training exercise#29

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krojas01 wants to merge 1 commit intomainfrom
data-quality-audit
Open

Data quality analysis pipeline and training exercise#29
krojas01 wants to merge 1 commit intomainfrom
data-quality-audit

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@krojas01
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Major additions:

  • Modular impact and reliability analysis pipeline (scripts/do/advanced_analysis/)

    • 00_setup_config.do - Centralized project configuration
    • 00_run_all.do - Master script with control switches
    • 01_load_explore.do - Data loading and exploration
    • 02_merge_datasets.do - Dataset merging with type checking
    • 03_impact_analysis.do - Baseline vs endline impact analysis
    • 04_reliability_analysis.do - Endline vs backcheck reliability
    • 05_enumerator_effects.do - Enumerator effect detection
    • 06_participant_tracking.do - Multi-level tracking validation
    • README.md - Complete implementation guide
  • Training exercise materials

    • EXERCISE_README.md - Comprehensive training guide
    • EXERCISE_SUMMARY.md - Quick start guide
    • VARIABLE_GUIDE.md - Variable tracking reference
    • scripts/python/generate_fake_data.py - Synthetic data generator
    • data/raw/sample_data.csv - Generated training dataset (1,000 obs)
  • Enhanced existing dofiles

    • scripts/do/01_data_cleaning.do - Added educ_years variable creation
    • scripts/do/07_advanced_programming.do - Fixed variable naming consistency

Features:

  • Complete impact evaluation pipeline following IPA best practices
  • Paired t-tests with Cohen d effect sizes
  • Bland-Altman reliability analysis with ICC
  • Enumerator effect regression analysis
  • Hierarchical probabilistic record linkage (6-level matching)
  • GPS distance validation using Haversine formula
  • Comprehensive logging and error handling
  • Multiple export formats (Excel, CSV, Stata)
  • Production-ready with extensive documentation
  • Synthetic dataset with realistic correlations for training
  • All scripts are modular, reusable, and easy to customize

Pull Request Summary 🚀

What does this PR do? 📝

Why is this change needed? 🤔

How was this implemented? 🛠️

How to test or reproduce? 🧪

Screenshots (if applicable) 📷

Checklist ✅

  • I have run and tested my changes locally
  • I have limited this PR to less than 1000 lines of code change (if not, explain why)
  • I have updated/added tests to cover my changes (if applicable)
  • I have updated/added requirements to cover my changes (if applicable)
  • I have run linting and formatting on any code changes (if applicable)
  • I have updated the documentation (README, etc.) accordingly

Reviewer Emoji Legend

:code: Meaning
😃👍💯 :smiley: :+1: :100: I like this...

...and I want the author to know it! This is a way to highlight positive parts of a code review.
⭐⭐⭐ :star: :star: :star: Important to fix before PR can be approved...

And I am providing reasons why it needs to be addressed as well as suggested improvements.
⭐⭐ :star: :star: Important to fix but non-blocking for PR approval...

And I am providing suggestions where it could be improved either in this PR or later.
:star: Give this some thought but non-blocking for PR approval...

...and consider this a suggestion, not a requirement.
:question: I have a question.

This should be a fully formed question with sufficient information and context that requires a response.
📝 :memo: This is an explanatory note, fun fact, or relevant commentary that does not require any action.
:pick: This is a nitpick.

This does not require any changes and is often better left unsaid. This may include stylistic, formatting, or organization suggestions and should likely be prevented/enforced by linting if they really matter.
♻️ :recycle: Suggestion for refactoring.

Should include enough context to be actionable and not be considered a nitpick.

Major additions:
- Modular impact and reliability analysis pipeline (scripts/do/advanced_analysis/)
  * 00_setup_config.do - Centralized project configuration
  * 00_run_all.do - Master script with control switches
  * 01_load_explore.do - Data loading and exploration
  * 02_merge_datasets.do - Dataset merging with type checking
  * 03_impact_analysis.do - Baseline vs endline impact analysis
  * 04_reliability_analysis.do - Endline vs backcheck reliability
  * 05_enumerator_effects.do - Enumerator effect detection
  * 06_participant_tracking.do - Multi-level tracking validation
  * README.md - Complete implementation guide

- Training exercise materials
  * EXERCISE_README.md - Comprehensive training guide
  * EXERCISE_SUMMARY.md - Quick start guide
  * VARIABLE_GUIDE.md - Variable tracking reference
  * scripts/python/generate_fake_data.py - Synthetic data generator
  * data/raw/sample_data.csv - Generated training dataset (1,000 obs)

- Enhanced existing dofiles
  * scripts/do/01_data_cleaning.do - Added educ_years variable creation
  * scripts/do/07_advanced_programming.do - Fixed variable naming consistency

Features:
- Complete impact evaluation pipeline following IPA best practices
- Paired t-tests with Cohen d effect sizes
- Bland-Altman reliability analysis with ICC
- Enumerator effect regression analysis
- Hierarchical probabilistic record linkage (6-level matching)
- GPS distance validation using Haversine formula
- Comprehensive logging and error handling
- Multiple export formats (Excel, CSV, Stata)
- Production-ready with extensive documentation
- Synthetic dataset with realistic correlations for training
- All scripts are modular, reusable, and easy to customize
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🎉 Great to see that you're working with this repository! A couple of items to attend to (and we can go over them in person on Monday if it's easiest) before a full review:

  • please remove the /archive and Quarto artifact /README_files/, README.html files. We want to keep this template clean of any unnecessary files.
  • the version of the repo that you edited diverges from the main branch. I moved Stata do files to a do_files/ folder rather than scripts/do. I'm open to either approach, but the do_file structure was set up to better match the folder structure that @dcarrillo99 and Sid are working with on a project
  • there are a lot of hardcoded paths that we should avoid. Please clean those so that the scripts are more generalizable.
  • Could you use the Pull Request Template structure to explain the purpose of this PR. I'm especially interested to hear your motivation for an advanced_analysis folder rather than just modifying and adding to the existing do files.

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@krojas01 - could you please delete the data/archive/ files? If they are necessary could you explain?

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No need to save files in an archive folder.

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I like this improvement. Seems like you're adding more realistic ID values and more variance in the Income

⭐ ⭐ I'm not clear why the Education values should have decimal points. Maybe store as an integer to convey fully completed years of education?

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Please remove all of the README_files/. Seems like this slipped in from a Quarto render we don't want to commit those files to GitHub.


// Temporarily change to project directory to create log
// (Will be set properly in config script)
capture cd "C:\Users\IPACOLPC105\scratch\ipa-stata-template"
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⭐ ⭐ ⭐ Let's avoid hardcoding paths. Please check the latest version of the main branch where I've set up to use setroot:

*%%
clear all
set more off
version 16
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❓ Most of the other code uses version 17. Should we be consistent with version 17 or 16?


// Define file paths
*idela file
global baseline "D:\Review\EC5\01_baseline\02_outputs\LMEE_Baseline_EC5_ChildSurvey_pii_idela.dta"
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Avoid hard coded paths. Lots of them here.

@@ -0,0 +1,3 @@
@echo off
"C:\Program Files\Stata18\StataSE-64.exe" /e do "C:\Users\IPACOLPC105\scratch\ipa-stata-template\scripts\setup\install_zanthro.do"
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❓ what's the goal of this file? (also avoid hardcoded paths.)

@@ -1 +1,2 @@
QUARTO_PYTHON=.venv/Scripts/python.exe
STATA_CMD=C:/Program Files/Stata18/StataMP-64.exe No newline at end of file
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Is this necessary? or is is the .env-example sufficient? (the .env-example should be copied and saved as .env and modified to match the user's environment. https://github.com/PovertyAction/ipa-stata-template/blob/main/.env-example#L3

Let me know if the instructions should be clearer. https://github.com/PovertyAction/ipa-stata-template?tab=readme-ov-file#steps

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Please remove this file

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