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Write-Up of Analysis and Evidence of Quality

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I am seeking assistance in creating themes, concept, and content for this assignment.

Week 10: Write-Up of Analysis and Evidence of Quality
Introduction
Now that you have collected, coded, and organized your Mini-Project interview data, you have two steps remaining: evaluating your data for evidence of quality, and completing the project write-up. For this week's Discussion and Application assignments, you will review the data you collected and coded for the Mini-Project for evidence of quality and write a detailed summary and analysis of your data.
Please note that your Qualitative Research Plan will be due in Week 11. You may wish to use any additional time this week to review the feedback you have received from your instructor on the Qualitative Research Plan assignments submitted throughout the course to incorporate into your final draft, which is due next week.
Application
Mini-Project: Themes and the Write-Up
The write-up is the final stage of the research process, in which the researcher pulls together all of the data he or she has collected, analyzes the results for trends, and presents his or her findings and conclusions. This week you will conclude the interviewing Mini-Project that you have been working on since Week 7. For this, Application activity, you will review your coded data and prepare a write-up of your results.
To prepare for this Application:
• Review Chapter 9 in Qualitative Inquiry and Research Design: Choosing Among Five Approaches; the examples of themes in "Stretching" Exercises for Qualitative Researchers; and pages 502-525 in Qualitative Research and Evaluation Methods.
• Analyze your interview data. What larger themes do you see emerging from the data?

• Consider how you would present your findings to the reader, and ensure evidence of quality.

The assignment:
• Craft a 5-page paper in which you do the following:


o Analyze your interview data for themes.

o Prepare a write-up of your interview data.

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Qualitative Data Analysis

Introduction

Now that you have collected, coded, and organized your Mini-Project interview data, you have two steps remaining: evaluating your data for evidence of quality, and completing the project write-up. For this week's Discussion and Application assignments, you will review the data you collected and coded for the Mini-Project for evidence of quality and write a detailed summary and analysis of your data.
Please note that your Qualitative Research Plan will be due in Week 11. You may wish to use any additional time this week to review the feedback you have received from your instructor on the Qualitative Research Plan assignments submitted throughout the course to incorporate into your final draft, which is due next week.
A common form of qualitative data analyzed by action researchers is interview data. This project is an annotated interview between a researcher and three students from this class- Qualitative Research and will be used to illustrate step-by-step how the action researcher analyzes and interprets the interview data.
The qualitative process of data analysis is an inductive one, in which the data is examined from a "bottom-up" approach (Creswell, 2005). The specific data is examined to identify more general themes that will be used to understand the meaning of the data.
Qualitative data analysis is a highly flexible research method that has been widely used in research studies with varying research goals and objectives. The research method is applied in qualitative, quantitative, and sometimes mixed modes of research frameworks and employs a wide range of analytical techniques to generate findings and put them into context.

We will analyze the qualitative data performing the following steps:
Step 1: The first step is to transcribe the interview.
Step 2: Preliminary exploratory analysis.
Step 3: Making connections to the research questions.
Step 4: Inter-rater reliability.
Step 5: Interpret findings.

Now we will perform all these 5 steps

Step 1: The first step is to transcribe the interview
Most interviews are tape recorded to give the teacher researcher accurate recordings of the interview data. Transcribing is time consuming but serves two purposes in the data analysis process. First, it allows the interview data to be formatted into a usable form. Second, the process of transcribing lets the teacher researcher hear the data repeatedly as it is being transcribed. In this process the researcher becomes ...

Solution Summary

The expert examines write-up of analysis and evidence of quality.

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