410.618.89
Using Software in Qualitative Research and Analysis

Location
Internet
Term
Summer Institute
Department
Health, Behavior and Society
Credit(s)
1
Academic Year
2023 - 2024
Instruction Method
Asynchronous Online with Some Synchronous Online
Start Date
Wednesday, July 5, 2023
End Date
Friday, July 28, 2023
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Jill Owczarzak
Contact Name
Jill Owczarzak
Frequency Schedule
Every Year
Prerequisite

Students registering for .89 online courses must take the prerequisite course Introduction to Online Learning.

Description
Learn how to use computer-based qualitative data analysis software to effectively organize and manage your qualitative data—all in one place; Develop skills to maximize collaborative data analysis within a research team; Discover the power of qualitative data analysis software to deepen insights into your data and visualize your findings
Introduces students to several qualitative data analysis software (QDAS) programs, including MAXQDA, Atlas.ti, NVivo, and Dedoose. Discusses the functions and limitations of qualitative data analysis software. Explores how QDAS can be used throughout a qualitative research project. Explains how to use QDAS for multi-media analysis, including images, video, and audio. Demonstrates how to use QDAS to organize data, produce reports, make comparisons, detect patterns, and facilitate analysis. Demonstrates how to use QDAS in team-based research projects for data coding and analysis. Prepares students to use QDAS to develop deeper insights into their data through visualization and mapping. Complements qualitative research methods and data analysis courses.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Identify the benefits and drawbacks of using computer-assisted qualitative data analysis software - CAQDA and defend a decision to use a specific QDAS program (or not)
  2. Use software throughout a research project, from data collection through analysis
  3. Use CAQDAS to import, query, and manipulate qualitative data
  4. Identity the appropriate data analysis features within a CAQDAS program to answer a particular type of research question or data query
Methods of Assessment
This course is evaluated as follows:
  • 20% Discussion
  • 20% LiveTalks
  • 60% Assignments
Instructor Consent
No consent required
Special Comments

Students will be required to download free trial versions of several qualitative data analysis software programs. Students will not be required to purchase any software or licenses. We will use free demo versions or programs available with a teaching license.