We may earn an affiliate commission when you visit our partners.
Karen Andes, PhD
This course will introduce you to MAXQDA software for easier data analysis during the qualitative research process. You'll explore how to do memos, variables, segmentation, coding, and data reduction techniques all in this course!
Register for this course and see more details by visiting:
OpenCourser.com/course/xl0exu/qualitative
What's inside
Syllabus
Introduction to Qualitative Data Analysis
In this first week, we''l introduce the four main tools and four processes of data analysis. We'll take a look at the difference between segments, codes, memos, and variables as well as how these tools are used when reviewing primary data.
Read more
Syllabus
Introduction to Qualitative Data Analysis
In this first week, we''l introduce the four main tools and four processes of data analysis. We'll take a look at the difference between segments, codes, memos, and variables as well as how these tools are used when reviewing primary data.
Read more
Memos
Segmentation & Variables
Coding
Case-Based & Code-Based Analysis
Descriptive, Comparative, & Interpretive Analysis
Presenting Your Findings
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces learners to MAXQDA, industry-standard qualitative analysis software
Taught by Karen Andes, PhD, a recognized expert in qualitative data analysis
Develops skills for memos, variables, segmentation, coding, and data reduction, which are core skills for researchers
Covers key topics in qualitative data analysis, including introduction, memos, segmentation, coding, and analysis
Provides hands-on experience with MAXQDA, allowing learners to apply their skills immediately
Requires learners to have prior experience with qualitative research methods
Save this course
Save Qualitative Data Analysis with MAXQDA Software to your list so you can find it easily later:
Save
Save
Reviews summary
Excellent maxqda guide
learners say this excellent MAXQDA course teaches step by step how to conduct qualitative research and provides an in depth analysis of the software. Students loved learning about MAXQDA 24, found the information provided to be insightful and easy to understand, and especially appreciated the practical application and real life examples shared.
Includes real life examples shared by students.
"Thanks to the professor, she explained things very well! It also helps that it shows how MAXQDA is used, though it could appear a bit fast."
"Eye-opening, very useful for my research. I appreciated the last week with the real-life examples shared directly by Karen's students."
A structured step by step guide to conducting qualitative research.
"This is one of the most informative and insightful courses I have ever taken in Coursera. It is a step by step guide on how to conduct qualitative research."
A thorough exploration of MAXQDA 24 software.
"I learned basic operation of MAXQDA in this course."
"I have learnt qualitative data analysis using MAXQDA in detailed and easy way."
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 Qualitative Data Analysis with MAXQDA Software with these
activities:
Review Qualitative Data Analysis: From Start to Finish
Show steps
Familiarizing yourself with this book will provide you with a solid foundation in qualitative data analysis, which will enhance your understanding of the course materials.
View
Qualitative Data Analysis - International...
on Amazon
Show steps
-
Read the introduction and skim the table of contents to get an overview of the book's structure and key concepts.
-
Choose a chapter that aligns with the current topic of the course and read it thoroughly.
-
Take notes on the main points and highlight any unfamiliar terms or concepts.
Review basic statistics
Show steps
Refreshing your knowledge of basic statistics will ensure that you have a solid foundation for understanding the statistical analyses used in qualitative data analysis.
Browse courses on
Statistics
Show steps
-
Review your notes from previous statistics courses or textbooks.
-
Take practice quizzes or do online exercises to test your understanding.
-
Watch videos or read articles that explain statistical concepts in a clear and concise way.
MAXQDA Basics Tutorial
Show steps
This tutorial will introduce you to the basics of using MAXQDA, the software used in this course, which will enable you to use the software efficiently and effectively.
Show steps
-
Watch the introductory video provided by MAXQDA.
-
Follow the step-by-step instructions to create a new project and import data.
-
Explore the user interface and familiarize yourself with the different features and functions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group
Show steps
Discussing the course material with peers can provide different perspectives, improve understanding, and identify areas where you need additional support.
Show steps
-
Find classmates who are interested in forming a study group.
-
Set up regular meetings to discuss the course material, share notes, and work on assignments together.
-
Take turns leading the discussions and presenting different topics.
Create a data analysis plan
Show steps
Developing a data analysis plan will help you organize your thoughts, define your research questions, and ensure a systematic approach to your qualitative data analysis.
Show steps
-
Identify the research questions you want to address.
-
Determine the data sources and collection methods you will use.
-
Develop a coding scheme to organize and categorize your data.
-
Outline the methods you will use to analyze your data.
-
Write a report that summarizes your data analysis plan.
Code and analyze practice data
Show steps
Working through practice data will provide you with hands-on experience in using MAXQDA to code and analyze qualitative data, strengthening your understanding and proficiency.
Show steps
-
Download the practice data provided by the instructor.
-
Import the data into MAXQDA and create a new project.
-
Use the coding scheme provided by the instructor to code the data.
-
Run descriptive and inferential analyses on the coded data.
-
Write a report that summarizes your findings.
Participate in a qualitative research competition
Show steps
Participating in a qualitative research competition can push you to apply your skills and knowledge in a practical and challenging setting, fostering deeper understanding and professional growth.
Show steps
-
Research different qualitative research competitions and identify one that aligns with your interests.
-
Develop a research proposal and submit it to the competition.
-
Conduct your research and analyze your data.
-
Write a report and present your findings at the competition.
Review Qualitative Data Analysis: From Start to Finish
Show steps
Familiarizing yourself with this book will provide you with a solid foundation in qualitative data analysis, which will enhance your understanding of the course materials.
View
Qualitative Data Analysis - International...
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and skim the table of contents to get an overview of the book's structure and key concepts.
- Choose a chapter that aligns with the current topic of the course and read it thoroughly.
- Take notes on the main points and highlight any unfamiliar terms or concepts.
Review basic statistics
Show steps
Refreshing your knowledge of basic statistics will ensure that you have a solid foundation for understanding the statistical analyses used in qualitative data analysis.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes from previous statistics courses or textbooks.
- Take practice quizzes or do online exercises to test your understanding.
- Watch videos or read articles that explain statistical concepts in a clear and concise way.
MAXQDA Basics Tutorial
Show steps
This tutorial will introduce you to the basics of using MAXQDA, the software used in this course, which will enable you to use the software efficiently and effectively.
Show steps
Show steps
Show steps
- Watch the introductory video provided by MAXQDA.
- Follow the step-by-step instructions to create a new project and import data.
- Explore the user interface and familiarize yourself with the different features and functions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group
Show steps
Discussing the course material with peers can provide different perspectives, improve understanding, and identify areas where you need additional support.
Show steps
Show steps
Show steps
- Find classmates who are interested in forming a study group.
- Set up regular meetings to discuss the course material, share notes, and work on assignments together.
- Take turns leading the discussions and presenting different topics.
Create a data analysis plan
Show steps
Developing a data analysis plan will help you organize your thoughts, define your research questions, and ensure a systematic approach to your qualitative data analysis.
Show steps
Show steps
Show steps
- Identify the research questions you want to address.
- Determine the data sources and collection methods you will use.
- Develop a coding scheme to organize and categorize your data.
- Outline the methods you will use to analyze your data.
- Write a report that summarizes your data analysis plan.
Code and analyze practice data
Show steps
Working through practice data will provide you with hands-on experience in using MAXQDA to code and analyze qualitative data, strengthening your understanding and proficiency.
Show steps
Show steps
Show steps
- Download the practice data provided by the instructor.
- Import the data into MAXQDA and create a new project.
- Use the coding scheme provided by the instructor to code the data.
- Run descriptive and inferential analyses on the coded data.
- Write a report that summarizes your findings.
Participate in a qualitative research competition
Show steps
Participating in a qualitative research competition can push you to apply your skills and knowledge in a practical and challenging setting, fostering deeper understanding and professional growth.
Show steps
Show steps
Show steps
- Research different qualitative research competitions and identify one that aligns with your interests.
- Develop a research proposal and submit it to the competition.
- Conduct your research and analyze your data.
- Write a report and present your findings at the competition.
Career center
Learners who complete Qualitative Data Analysis with MAXQDA Software will develop knowledge and skills
that may be useful to these careers:
Qualitative Researcher
Qualitative Researcher
Qualitative Researchers conduct research to understand people's experiences and motivations. They use a variety of methods to collect data, including interviews, surveys, and observations. Qualitative Researchers typically have a strong background in social sciences, such as sociology or anthropology.
Social Scientist
Social Scientist
Social Scientists study human behavior and society. They use a variety of methods to collect data, including surveys, experiments, and observations. Social Scientists typically have a strong background in social sciences, such as sociology or psychology.
UX Researcher
UX Researcher
UX Researchers study how people interact with products and services. They use a variety of methods to collect data, including interviews, surveys, and observations. UX Researchers typically have a strong background in human-computer interaction or a related field.
Market Researcher
Market Researcher
Market Researchers study market trends and consumer behavior. They use a variety of methods to collect data, including surveys, interviews, and focus groups. Market Researchers typically have a strong background in marketing or a related field.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use a variety of statistical and programming techniques to analyze data. Data Analysts typically have a strong background in mathematics, statistics, or a related field.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They use a variety of statistical and programming techniques to analyze data and develop predictive models. Data Scientists typically have a strong background in mathematics, statistics, or a related field.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring a product to market.
Project Manager
Project Manager
Project Managers are responsible for planning and executing projects. They work with a team of people to complete a project on time and within budget.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with a team of engineers to create software that meets the needs of users.
Writer
Writer
Writers create content for a variety of purposes, including marketing, journalism, and fiction.
Teacher
Teacher
Teachers educate students in a variety of subjects.
Nurse
Nurse
Nurses provide care to patients in a variety of settings, including hospitals, clinics, and nursing homes.
Lawyer
Lawyer
Lawyers represent clients in legal matters.
Doctor
Doctor
Doctors diagnose and treat patients.
Engineer
Engineer
Engineers design, build, and maintain a variety of structures and machines.
For more career information including salaries, visit:
OpenCourser.com/course/xl0exu/qualitative
Reading list
We've selected 11 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
Qualitative Data Analysis with MAXQDA Software.
Save
Comprehensive guide to deep learning, which powerful machine learning technique. It is ideal for readers with a background in computer science or data science.
Practical guide to deep learning using Python and the Keras library. It is ideal for readers with a background in programming or data science.
Is an excellent resource for learning about reinforcement learning techniques. It is ideal for readers with a background in computer science or mathematics.
Practical guide to machine learning using Python and popular machine learning libraries such as Scikit-Learn, Keras, and TensorFlow. It is ideal for readers with a background in programming or data science.
Is an excellent resource for learning about natural language processing techniques. It is ideal for readers with a background in computer science or linguistics.
Practical guide to machine learning using Python and popular machine learning libraries such as Scikit-Learn, Keras, and TensorFlow. It is ideal for readers with a background in programming or data science.
Save
Provides a comprehensive introduction to computer vision algorithms and applications. It is ideal for readers with a background in computer science or engineering.
Save
Provides a clear and concise introduction to causal inference, which is essential for drawing valid conclusions from data. It is ideal for readers with a background in statistics or data science.
Provides a comprehensive introduction to speech and language processing techniques. It is ideal for readers with a background in computer science or linguistics.
Provides a comprehensive introduction to statistical learning methods, including supervised and unsupervised learning, regression, classification, and clustering. It is ideal for readers with a background in statistics or data science.
Provides a thorough introduction to regression and multilevel/hierarchical models, which are essential for analyzing data from complex research designs. It is ideal for readers with a background in statistics or data science.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xl0exu/qualitative
Share
Similar courses
Here are nine courses similar to
Qualitative Data Analysis with MAXQDA Software.
Data Engineering for Beginner using Google Cloud & Python
OpenCourser.com/course/5wc0uv/data
Data Engineering for Beginner using Google Cloud & Python
Less relevant
Introduction to Data Analytics
OpenCourser.com/course/a0jqrh/introduction
Introduction to Data Analytics
Less relevant
Data Literacy Essentials
OpenCourser.com/course/hu1x6d/data
Data Literacy Essentials
Less relevant
Data Lake Mastery: The Key to Big Data & Data Engineering
OpenCourser.com/course/x66zor/data
Data Lake Mastery: The Key to Big Data & Data Engineering
Less relevant
Data Collection for Data Scientists
OpenCourser.com/course/viuwa8/data
Data Collection for Data Scientists
Less relevant
Certification in Business Data Analytics (IIBA®-CBDA): Essential Data Analytics Concepts
OpenCourser.com/course/dq0tn5/certification
Certification in Business Data Analytics (IIBA®-CBDA):...
Less relevant
Introduction to Data Visualization with Python
OpenCourser.com/course/p3hv2a/introduction
Introduction to Data Visualization with Python
Less relevant
Data Science for Professionals
OpenCourser.com/course/kw4vyw/data
Data Science for Professionals
Less relevant
Modern Data Analyst: SQL, Python & ChatGPT for Data Analysis
OpenCourser.com/course/mheojn/modern
Modern Data Analyst: SQL, Python & ChatGPT for Data...
Less relevant
Effort
7 weeks of study, 2-4 hours a week
Level
Intermediate
Via
Coursera
Institution
Emory University
Instructor
Karen Andes, PhD
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
Nederlands
Svenska
Pусский
Türkçe
Polski
Ελληνικά
українська мова
Bahasa Indonesia
ไทย
қазақша
This course belongs to a
collection
called
Qualitative Research Design and Methods for Public Health. It's comprised of three courses:
- Qualitative Data Analysis with MAXQDA Software (viewing)
- Qualitative Data Collection Methods
- Qualitative Research Design
Good to know
Introduces learners to MAXQDA, industry-standard qualitative analysis software
Taught by Karen Andes, PhD, a recognized expert in qualitative data analysis
Develops skills for memos, variables, segmentation, coding, and data reduction, which are core skills for researchers
Covers key topics in qualitative data analysis, including introduction, memos, segmentation, coding, and analysis
Provides hands-on experience with MAXQDA, allowing learners to apply their skills immediately
Requires learners to have prior experience with qualitative research methods
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser