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Sample Surveys

4 October 2022

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Lesson Content

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Intro to Lesson

Lesson 1: What is Theory of Change? (1)

Lesson 2: What is Theory of Change? (2)

Lesson 3: Why is Theory of Change important?

Lesson 4: How to make a Theory of Change

Lesson 5: Theory of Change applications

Lesson 6: Theory of Change final thoughts

Lesson 7: Theory of Change conclusion

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Intro to Lesson

Lesson 1: Why we do statistical inference

Lesson 2: The Central Limit Theorem

Lesson 3: Testing a hypothesis

Lesson 4: Steps to testing for equality of means (1)

Lesson 5: Steps to testing for equality of means (2)

Lesson 6: One-sample hypothesis tests in Stata

Lesson 7: Two-sample hypothesis tests in Stata

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Intro to Lesson

Lesson 1: Simple random sampling

Lesson 2: Simple random sampling in Stata

Lesson 3: Sample size calculations

Lesson 4: Finite population correction

Lesson 5: Stratified random sampling

Lesson 6: Stratified random sampling in Stata

Lesson 7: Clustered random sampling

Lesson 8: Clustered random sampling in Stata

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Intro to Lesson

Lesson 1: Why high quality data is important

Lesson 2: What errors are we worried about?

Lesson 3: What leads to errors and how to mitigate errors in data collection

Lesson 4: Example with data

Lesson 5: Conclusion

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Intro to Lesson

Lesson 1: Deciding what to measure

Lesson 2: The survey response process: Comprehension

Lesson 3: The survey response process: Retrieval

Lesson 4: The survey response process: Judgement & estimation and response mapping

Lesson 5: Mitigating social desirability bias

Lesson 6: Tips for creating a robust questionnaire

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Intro to Lesson

Lesson 1: Introduction to mobile data collection

Lesson 2: Working with SurveyCTO

Lesson 3: Building a survey in SurveyCTO (1)

Lesson 4: Building a survey in SurveyCTO (2)

Lesson 5: Encryption

Lesson 6: Collecting data

Lesson 7: Downloading data

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Intro to Lesson

Lesson 1: The importance of data cleaning

Lesson 2: Folder structure

Lesson 3: Data preparation: Duplicates, renaming, labeling

Lesson 4: Data preparation: New data, missing data, logic checks

Lesson 5: Data preparation: Creating variables, de-identifying data

Lesson 6: Data transformations: Appending, merging

Lesson 7: Data transformations: Reshaping, collapsing

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Intro to Lesson

Lesson 1: Summary statistics

Lesson 2: Sampling design features

Lesson 3: Sampling weights

Lesson 4: Missing data

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Intro to Lesson

Lesson 1: Principles of data visualization

Lesson 2: Tips for graphing in Stata

Lesson 3: Stata graph basics (1)

Lesson 4: Stata graph basics (2)

Lesson 5: Overlaying graphs

Lesson 6: Bar graphs

Lesson 7: Other graphs

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Intro to Lesson

Lesson 1: How to frame findings

Lesson 2: Using visualizations to describe results

Lesson 3: Tailoring results to different types of clients

Lesson 4: Communicating statistical uncertainty

News

IDinsight welcomes Charlene Migwe as East and Southern Africa Lead

22 January 2026

News

The middle-income moment: Navigating evidence-based development in Southeast Asia

24 December 2025

News

Navigating the next frontier: Doing more with less in West and North Africa

18 December 2025

Blog

Bringing implementation science to AI: The case for process evaluations in the AI evaluation framework

9 December 2025

News

Adapting for impact: Reflecting on a year of uncertainty and reinvention

3 December 2025

Blog

Lessons from IDinsight’s Generative AI transformation

3 December 2025

Blog

Building a right-fit data infrastructure to support SOIL’s program scalability

3 December 2025

Project

Improving nutrition investments through cost-effective feeding models

1 December 2025

Project

Life Skills Collaborative

30 November 2025

Project

Powering change: MCA-Sénégal II Electricity Compact & IDinsight’s learning agenda to support economic growth in Senegal

30 November 2025

Sample Surveys

Current Status

Price

Get Started

Course Content

IDinsight welcomes Charlene Migwe as East and Southern Africa Lead

The middle-income moment: Navigating evidence-based development in Southeast Asia

Navigating the next frontier: Doing more with less in West and North Africa

Bringing implementation science to AI: The case for process evaluations in the AI evaluation framework

Adapting for impact: Reflecting on a year of uncertainty and reinvention

Lessons from IDinsight’s Generative AI transformation

Building a right-fit data infrastructure to support SOIL’s program scalability

Improving nutrition investments through cost-effective feeding models

Life Skills Collaborative

Powering change: MCA-Sénégal II Electricity Compact & IDinsight’s learning agenda to support economic growth in Senegal

Related content

Statistical Software Prerequisites

Impact Evaluation

Process Evaluation

Monitoring

Current Status

Price

Get Started

Course Content

IDinsight welcomes Charlene Migwe as East and Southern Africa Lead

The middle-income moment: Navigating evidence-based development in Southeast Asia

Navigating the next frontier: Doing more with less in West and North Africa

Bringing implementation science to AI: The case for process evaluations in the AI evaluation framework

Adapting for impact: Reflecting on a year of uncertainty and reinvention

Lessons from IDinsight’s Generative AI transformation

Building a right-fit data infrastructure to support SOIL’s program scalability

Improving nutrition investments through cost-effective feeding models

Life Skills Collaborative

Powering change: MCA-Sénégal II Electricity Compact & IDinsight’s learning agenda to support economic growth in Senegal

Related content

Statistical Software Prerequisites

Impact Evaluation

Process Evaluation

Monitoring

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