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DCI/EASY 6285.001 Qualitative Data Analysis in Education Course Outline and Syllabus Spring 2016 Matthews Room 111 Tuesdays 5.30pm8.20pm Instructor: Dr. Karthigeyan Subramaniam, Associate Professor Office:
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How to fill out qualitative data analysis in

01
Start by organizing your qualitative data into categories or themes.
02
Create a data analysis plan to guide your analysis process.
03
Begin by reading through your data to familiarize yourself with the content.
04
Use coding techniques such as open coding or thematic coding to identify patterns or themes in the data.
05
Analyze and interpret the data by examining the relationships between the codes and themes.
06
Use qualitative data analysis software or tools to help organize and manage your data.
07
Document your findings and interpretations in a clear and systematic manner.
08
Reflect on your analysis process and consider any limitations or biases that may have influenced your findings.

Who needs qualitative data analysis in?

01
Researchers in various fields including social sciences, psychology, anthropology, and education often use qualitative data analysis to gain insights into complex phenomena.
02
Academic institutions and educational researchers may use qualitative data analysis to evaluate the effectiveness of educational programs or interventions.
03
Market researchers and consumer behavior analysts may use qualitative data analysis to understand consumer preferences, attitudes, and behaviors.
04
Policy makers and government agencies may use qualitative data analysis to inform decision-making and policy development.
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Healthcare professionals and medical researchers may use qualitative data analysis to examine patient experiences, attitudes, and outcomes.
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Social workers and community organizers may use qualitative data analysis to assess community needs and develop relevant interventions.
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Qualitative data analysis is the process of examining non-numeric data to uncover patterns, themes, and insights.
Researchers, analysts, and professionals in various fields are required to perform and report qualitative data analysis.
Qualitative data analysis can be filled out by collecting and analyzing textual, visual, or audio data using various methods such as coding, thematic analysis, and narrative analysis.
The purpose of qualitative data analysis is to derive meaningful interpretations and insights from unstructured data in order to inform decision-making or research conclusions.
The information reported on qualitative data analysis includes data sources, coding schemes, analysis techniques, themes or patterns identified, and conclusions drawn from the analysis.
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