Explain how the “Four Principles of Data Collection” from Yin (2018) support your ability to address your DBA doctoral research question.

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Research Paper
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424 words, 2 pages
Style
APA 7

Research PaperAPA 7

Explain how the “Four Principles of Data Collection” from Yin (2018) support your ability to address your DBA doctoral research question.

Subject:
Business

 

Number Of Pages:
1     Double-spaced (225 words)

 

Number Of Sources:
1

 

Type of Document:
online discussion question

 

Academic Level:
Master

 

Citation Style:
APA

 

Attachment(s):
6478-RubricDetail.5.11.docx
6478-CaseStudyResearch.docx
6478-5.11.1.doc
6478-5.11.2.doc
6478-5.11.6.docx

 

Solution Files(s):
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Description:

 

Principles and Methods of Qualitative Data Collection A key requirement of the case study design is to collect data from multiple sources. Specifically, all Walden DBA independent scholars conducting case studies must collect data from at least two sources, interviews being one of those mandatory sources. Yin (2014) identified six sources of evidence to include (a) documentation, (b) archival records, (c) interviews, (d) direct observation, (e) participant observation, and (f) physical artifacts (p. 113). You will be required to select one source other than interviews to meet the data collection requirements. To prepare for this Discussion, review this week’s Required Readings and consider why the different sources of evidence are important to the work of a DBA doctoral researcher, including the role of triangulation within the qualitative data collection process. By Day 3 Post an analysis of sources and methods of data collection in the context of your DBA doctoral research question. In your analysis, do the following: Explain how the “Four Principles of Data Collection” from Yin (2018) support your ability to address your DBA doctoral research question. Explain the importance of utilizing multiple sources of evidence and triangulation within the data collection process. Be sure to address the specific types of data triangulation (data, investigation, investigator, methodological) and their relationship to data quality. Be sure to provide a scholarly example to support your explanation. Be sure to support your work with a minimum of two specific citations from this week’s Learning Resources and one or more additional scholarly sources. Refer to the Week 2 Discussion Rubric for specific grading elements and criteria. Your Instructor will use this rubric to assess your work. Read a selection of your colleagues’ postings. By Day 5 Respond to two or more of your colleagues’ postings in one or more of the following ways: Address a colleague’s analysis and evaluation of the topic(s). Expand or remark upon a colleague’s integration of relevant resources. Answer question(s) posed by your colleague(s) for further discussion. Link a colleague’s posting to other postings or to course materials and concepts, where appropriate and relevant. Extend or constructively challenge your colleagues’ work. Please note that for each response you must include a minimum of one appropriately cited scholarly reference.

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Premium Academic Affiliates. (2020, May 12). Explain how the “Four Principles of Data Collection” from Yin (2018) support your ability to address your DBA doctoral research question. [Research paper example]. https://premiumacademicaffiliates.com/explain-how-the-four-principles-of-data-collection-from-yin-2018-support-your-ability-to-address-your-dba-doctoral-research-question/

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