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Elizabeth Hazel, PhD,
Melinda K. Munos,
Neff Walker,
Agbessi Amouzou,
Rosemary Morgan,
Abdoulaye Maïga,
and
Yoko Inagaki, MD
This course is for implementers, managers, funders, and evaluators of health programs targeting women and children in low- and middle-income countries as well as undergraduate and graduate students in health-related fields. Course participants will learn how to 1) transform quantitative components of an evaluation measurement plan into a sound analysis plan to address the evaluation questions, 2) conduct quantitative analyses of primary or secondary surveys or other available data, 3) interpret the meaning of the analysis results and their implications, and 4) disseminate the evaluation findings to program implementers, local and global stakeholders.
Read more
This course is for implementers, managers, funders, and evaluators of health programs targeting women and children in low- and middle-income countries as well as undergraduate and graduate students in health-related fields. Course participants will learn how to 1) transform quantitative components of an evaluation measurement plan into a sound analysis plan to address the evaluation questions, 2) conduct quantitative analyses of primary or secondary surveys or other available data, 3) interpret the meaning of the analysis results and their implications, and 4) disseminate the evaluation findings to program implementers, local and global stakeholders.
Read more
This course is for implementers, managers, funders, and evaluators of health programs targeting women and children in low- and middle-income countries as well as undergraduate and graduate students in health-related fields. Course participants will learn how to 1) transform quantitative components of an evaluation measurement plan into a sound analysis plan to address the evaluation questions, 2) conduct quantitative analyses of primary or secondary surveys or other available data, 3) interpret the meaning of the analysis results and their implications, and 4) disseminate the evaluation findings to program implementers, local and global stakeholders.
It is highly recommended that course participants have the statistical skills to conduct and understand quantitative analysis.
The development of this course was supported by a grant from Government Affairs Canada (GAC) for the Real Accountability, Data Analysis for Results (RADAR) project.
Register for this course and see more details by visiting:
OpenCourser.com/course/tlphpu/analysis
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What's inside
Syllabus
Module 1: Getting started in the course
Module 2: Setting up for data analysis
Module 3: Introduction to data analysis for evaluation
Read more
Syllabus
Module 1: Getting started in the course
Module 2: Setting up for data analysis
Module 3: Introduction to data analysis for evaluation
Read more
Module 4: Analysis of programs strength and quality of care
Module 5: Analyzing household survey for intervention coverage
Module 6: Analyzing Impact Measures
Module 7: Equity Analysis
Module 8: Gender-Based Equity Analysis
Module 9: Interpreting Evaluation Findings
Final exam and special message from JHU-IIP team
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides quantitative evaluation for projects in low- and middle-income countries
Taught by leaders in the fields of healthcare evaluation, data analysis, and health programs
Centers on the design, implementation, and interpretation of evaluation plans
Covers advanced topics in evaluation, such as gender-based equity analysis
Requires a strong foundation in quantitative analysis, which may be a barrier for some
Suitable for professionals working in health program implementation, management, funding, or evaluation
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Analysis and Interpretation of Large-Scale Programs with these
activities:
Review basic statistics
Show steps
Review basic statistics concepts to refresh your knowledge.
Browse courses on
Basic Statistics
Show steps
-
Review your notes from a previous statistics course.
-
Take a practice quiz on basic statistics concepts.
-
Watch a video tutorial on basic statistics.
Complete a tutorial on data analysis for beginners
Show steps
Learn the basics of data analysis to prepare for the course.
Show steps
-
Find a tutorial on data analysis for beginners.
-
Follow the tutorial and complete the exercises.
-
Make notes on the concepts you learn.
Read Quantitative Evaluation Methods by Paul D. Allison
Show steps
Go over the fundamentals of quantitative evaluation methods to prepare for the course.
View
Language Disorders from Infancy through...
on Amazon
Show steps
-
Order a copy of 'Quantitative Evaluation Methods' by Paul D. Allison.
-
Read chapters 1-3 to familiarize yourself with the basic concepts of quantitative evaluation.
-
Take notes and highlight important concepts as you read.
-
Review your notes and try to apply the concepts to real-world scenarios.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Statistics refresher
Show steps
Review the basic principles of statistics to strengthen your foundation for data analysis in this course.
Browse courses on
Statistics
Show steps
-
Review core statistical concepts such as mean, median, and standard deviation.
-
Practice calculating and interpreting statistical measures using online resources or textbooks.
Follow data analysis tutorials
Show steps
Enhance your data analysis skills by following guided tutorials that provide step-by-step instructions and examples.
Browse courses on
Data Analysis
Show steps
-
Identify reputable online platforms or resources offering data analysis tutorials.
-
Choose tutorials that align with the topics and techniques covered in the course.
-
Follow the tutorial instructions carefully, working through examples and exercises.
Practice data analysis exercises
Show steps
Solidify your data analysis abilities by completing practice exercises that reinforce the concepts and techniques learned in the course.
Browse courses on
Data Analysis
Show steps
-
Find online exercises or practice problems related to data analysis.
-
Solve the exercises independently, referring to course materials or tutorials as needed.
-
Check your answers and identify areas for improvement.
Develop a data analysis plan
Show steps
Gain practical experience by creating a detailed data analysis plan for hypothetical or real-world scenarios.
Browse courses on
Data Analysis
Show steps
-
Define the research question or evaluation goal.
-
Identify the relevant data sources and variables.
-
Outline the data analysis methods to be used.
-
Consider potential challenges and limitations.
Create a data visualization to illustrate a concept
Show steps
Create a data visualization to demonstrate your understanding of a concept.
Browse courses on
Data Visualization
Show steps
-
Choose a data set that you find interesting.
-
Clean and analyze the data.
-
Use a data visualization tool to create a visualization of the data.
-
Write a brief report that explains your visualization and the insights you gained from it.
Mentor a less experienced student in data analysis
Show steps
Share your knowledge and skills by mentoring a less experienced student.
Browse courses on
Mentoring
Show steps
-
Identify a less experienced student who needs help with data analysis.
-
Offer to mentor the student and provide guidance on data analysis concepts and techniques.
-
Meet with the student regularly to provide support and answer questions.
-
Provide feedback on the student's work and help them improve their skills.
Review basic statistics
Show steps
Review basic statistics concepts to refresh your knowledge.
Browse courses on
Basic Statistics
Show steps
Show steps
Show steps
- Review your notes from a previous statistics course.
- Take a practice quiz on basic statistics concepts.
- Watch a video tutorial on basic statistics.
Complete a tutorial on data analysis for beginners
Show steps
Learn the basics of data analysis to prepare for the course.
Show steps
Show steps
Show steps
- Find a tutorial on data analysis for beginners.
- Follow the tutorial and complete the exercises.
- Make notes on the concepts you learn.
Read Quantitative Evaluation Methods by Paul D. Allison
Show steps
Go over the fundamentals of quantitative evaluation methods to prepare for the course.
View
Language Disorders from Infancy through...
on Amazon
Show steps
Show steps
Show steps
- Order a copy of 'Quantitative Evaluation Methods' by Paul D. Allison.
- Read chapters 1-3 to familiarize yourself with the basic concepts of quantitative evaluation.
- Take notes and highlight important concepts as you read.
- Review your notes and try to apply the concepts to real-world scenarios.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Statistics refresher
Show steps
Review the basic principles of statistics to strengthen your foundation for data analysis in this course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review core statistical concepts such as mean, median, and standard deviation.
- Practice calculating and interpreting statistical measures using online resources or textbooks.
Follow data analysis tutorials
Show steps
Enhance your data analysis skills by following guided tutorials that provide step-by-step instructions and examples.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify reputable online platforms or resources offering data analysis tutorials.
- Choose tutorials that align with the topics and techniques covered in the course.
- Follow the tutorial instructions carefully, working through examples and exercises.
Practice data analysis exercises
Show steps
Solidify your data analysis abilities by completing practice exercises that reinforce the concepts and techniques learned in the course.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find online exercises or practice problems related to data analysis.
- Solve the exercises independently, referring to course materials or tutorials as needed.
- Check your answers and identify areas for improvement.
Develop a data analysis plan
Show steps
Gain practical experience by creating a detailed data analysis plan for hypothetical or real-world scenarios.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Define the research question or evaluation goal.
- Identify the relevant data sources and variables.
- Outline the data analysis methods to be used.
- Consider potential challenges and limitations.
Create a data visualization to illustrate a concept
Show steps
Create a data visualization to demonstrate your understanding of a concept.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a data set that you find interesting.
- Clean and analyze the data.
- Use a data visualization tool to create a visualization of the data.
- Write a brief report that explains your visualization and the insights you gained from it.
Mentor a less experienced student in data analysis
Show steps
Share your knowledge and skills by mentoring a less experienced student.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify a less experienced student who needs help with data analysis.
- Offer to mentor the student and provide guidance on data analysis concepts and techniques.
- Meet with the student regularly to provide support and answer questions.
- Provide feedback on the student's work and help them improve their skills.
Career center
Learners who complete Analysis and Interpretation of Large-Scale Programs will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst uses statistical and logical techniques to find patterns and insights in complex data. They may use various tools, including statistical software and programming languages, to analyze data. This course can help Data Analysts develop the skills needed to conduct quantitative analyses of primary or secondary surveys or other available data. Additionally, the course can help Data Analysts learn how to interpret the meaning of the analysis results and their implications.
Program Manager
Program Manager
A Program Manager is responsible for the planning, implementation, and evaluation of programs and projects. They may work in a variety of settings, including government, non-profit organizations, and private companies. This course can help Program Managers develop the skills needed to conduct quantitative analyses of program data and how to interpret the results. Additionally, the course can help Program Managers learn how to disseminate the evaluation findings to program implementers, local and global stakeholders.
Statistician
Statistician
A Statistician uses statistical methods to collect, analyze, and interpret data. They may work in a variety of settings, including government, non-profit organizations, and private companies. This course can help Statisticians develop the skills needed to conduct quantitative analyses of data and how to interpret the results. Additionally, the course can help Statisticians learn how to disseminate the evaluation findings to stakeholders.
Data Scientist
Data Scientist
A Data Scientist uses statistical and logical techniques to find patterns and insights in complex data. They may work in a variety of settings, including government, non-profit organizations, and private companies. This course can help Data Scientists develop the skills needed to conduct quantitative analyses of data and how to interpret the results. Additionally, the course can help Data Scientists learn how to disseminate the evaluation findings to stakeholders.
Health Economist
Health Economist
A Health Economist applies economic principles to the healthcare industry. They may work in a variety of settings, including government, non-profit organizations, and private companies. This course can help Health Economists develop the skills needed to conduct quantitative analyses of health data and how to interpret the results. Additionally, the course can help Health Economists learn how to disseminate the evaluation findings to policymakers and other stakeholders.
Research Analyst
Research Analyst
A Research Analyst conducts research and analyzes data to help organizations make informed decisions. They may work in a variety of settings, including government, non-profit organizations, and private companies. This course can help Research Analysts develop the skills needed to conduct quantitative analyses of data and how to interpret the results. Additionally, the course can help Research Analysts learn how to disseminate the evaluation findings to stakeholders.
Survey Research Analyst
Survey Research Analyst
A Survey Research Analyst conducts surveys and analyzes the results to provide insights into a variety of topics. They may work in a variety of settings, including government, non-profit organizations, and private companies. This course can help Survey Research Analysts develop the skills needed to conduct quantitative analyses of survey data and how to interpret the results. Additionally, the course can help Survey Research Analysts learn how to disseminate the evaluation findings to stakeholders.
Risk Analyst
Risk Analyst
A Risk Analyst assesses and manages risks. They may work in a variety of settings, including finance, insurance, and healthcare. This course can help Risk Analysts develop the skills needed to conduct quantitative analyses of data and how to interpret the results. Additionally, the course can help Risk Analysts learn how to disseminate the evaluation findings to stakeholders.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses statistical methods to analyze data and make predictions. They may work in a variety of settings, including finance, insurance, and healthcare. This course can help Quantitative Analysts develop the skills needed to conduct quantitative analyses of data and how to interpret the results. Additionally, the course can help Quantitative Analysts learn how to disseminate the evaluation findings to stakeholders.
Epidemiologist
Epidemiologist
An Epidemiologist investigates the distribution and determinants of health-related states or events (including disease), and applies this information to the control of diseases and other health problems. This course can help Epidemiologists develop the skills needed to conduct quantitative analyses of health data and how to interpret the results. Additionally, the course can help Epidemiologists learn how to disseminate the evaluation findings to policymakers and other stakeholders.
Health Policy Analyst
Health Policy Analyst
A Health Policy Analyst analyzes health policy issues and makes recommendations to policymakers. They may work in a variety of settings, including government, non-profit organizations, and private companies. This course can help Health Policy Analysts develop the skills needed to conduct quantitative analyses of health data and how to interpret the results. Additionally, the course can help Health Policy Analysts learn how to disseminate the evaluation findings to policymakers and other stakeholders.
Public Health Analyst
Public Health Analyst
A Public Health Analyst analyzes public health data to identify trends and patterns. They may work in a variety of settings, including government, non-profit organizations, and private companies. This course can help Public Health Analysts develop the skills needed to conduct quantitative analyses of health data and how to interpret the results. Additionally, the course can help Public Health Analysts learn how to disseminate the evaluation findings to stakeholders.
Health Informatics Analyst
Health Informatics Analyst
A Health Informatics Analyst uses data to improve the quality and efficiency of healthcare delivery. They may work in a variety of settings, including hospitals, clinics, and health insurance companies. This course can help Health Informatics Analysts develop the skills needed to conduct quantitative analyses of health data and how to interpret the results. Additionally, the course can help Health Informatics Analysts learn how to disseminate the evaluation findings to stakeholders.
Data Engineer
Data Engineer
A Data Engineer designs and builds data pipelines and infrastructure. They may work in a variety of settings, including technology companies, financial institutions, and healthcare organizations. This course may be useful to Data Engineers who want to learn how to analyze data and how to interpret the results. Additionally, the course may help Data Engineers learn how to disseminate the evaluation findings to stakeholders.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems and makes recommendations for improvements. They may work in a variety of settings, including consulting firms, financial institutions, and healthcare organizations. This course may be useful to Business Analysts who want to learn how to analyze data and how to interpret the results. Additionally, the course may help Business Analysts learn how to disseminate the evaluation findings to stakeholders.
For more career information including salaries, visit:
OpenCourser.com/course/tlphpu/analysis
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Analysis and Interpretation of Large-Scale Programs.
Comprehensive guide to the conduct of systematic reviews of interventions. It valuable resource for individuals involved in the planning and conduct of systematic reviews.
This reference guide is specific to the design, implementation and evaluation of monitoring systems for maternal and child health programs. This guide is particularly useful for development practitioners and evaluators.
Provides a comprehensive overview of the principles and methods of qualitative research. It valuable resource for individuals interested in conducting qualitative research studies.
Provides a comprehensive overview of the principles and methods of mixed methods research. It valuable resource for individuals interested in conducting mixed methods research studies.
Provides a comprehensive overview of the principles and methods of hierarchical linear models. It valuable resource for individuals interested in conducting hierarchical linear models studies.
Provides practical guidance on how to measure the impact of health programs. It useful resource for individuals involved in the evaluation of health programs.
Provides a comprehensive overview of the principles and methods of improving the quality of care for maternal and newborn health. It valuable resource for individuals involved in the planning and implementation of maternal and newborn health programs.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tlphpu/analysis
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Quantitative Technical Analysis
Level
Intermediate
Via
Coursera
Institution
Johns Hopkins University
Instructors
Elizabeth Hazel, PhD
Melinda K. Munos
Neff Walker
Agbessi Amouzou
Rosemary Morgan
Abdoulaye Maïga
Yoko Inagaki, MD
Language
English
This course belongs to a
collection
called
Evaluating Large-Scale Health Programs. It's comprised of six courses:
- Analysis and Interpretation of Large-Scale Programs (viewing)
- Program Design & Evaluation for Health Systems Strengthening
- Assessing Health Program Delivery
- Household Surveys for Program Evaluation in LMICs
- Measuring and Modeling Impact in Evaluations
- Evaluating Public Health Programs at Scale
Good to know
Provides quantitative evaluation for projects in low- and middle-income countries
Taught by leaders in the fields of healthcare evaluation, data analysis, and health programs
Centers on the design, implementation, and interpretation of evaluation plans
Covers advanced topics in evaluation, such as gender-based equity analysis
Requires a strong foundation in quantitative analysis, which may be a barrier for some
Suitable for professionals working in health program implementation, management, funding, or evaluation
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