Formulate a Qualitative Data Quality Checklist
Week 6 – Assignment: Formulate a Qualitative Data Quality Checklist
Assignment Instructions:
Review the handout entitled “Chapter 4: Trustworthiness of the Data.”
Create a one-page checklist to be used to evaluate the data to be collected from your selected method. (my data collection method is observations)
Divide the checklist into the four criteria used to evaluate data trustworthiness from the handout.
Under each of the four criteria, itemize four checks for data quality you will use to assess the final data set after data collection has closed.
Length: 1 page
References: Cite a minimum of 3 scholarly resources used to design the checklist
Your checklist should demonstrate thoughtful consideration of the ideas and concepts presented in the course and provide new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards.
Books and Resources for this Week
Amankwaa, L. (2016). Creating protocols for trustworthiness in qualitative research. Journal of Cultural Diversity, 23(3), 121–127.
Chenail, R. J. (2012). Conducting qualitative data analysis: Managing dynamic tensions within. Qualitative Report, 17(4), 1-6.
Frey, B. B. (Ed.) (2018). Trustworthiness. In The SAGE encyclopedia of educational research, measurement, and evaluation. Thousand Oaks, CA: SAGE.
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017, October). Thematic analysis: Striving to meet the trustworthiness criteria…
CHAPTER FOUR INFORMATION NEEDED TO CPMPLETE THIS ASSIGNMENT
Chapter 4: Trustworthiness of the Data section
As noted in the dissertation template for qualitative studies, the section directly following the Chapter 4 introduction is to be labeled Trustworthiness of the Data, and in this section, qualitative researchers are required to articulate evidence of four primary criteria to ensure trustworthiness of the final study data set:
? 1. Credibility (e.g., triangulation, member checks) Credibility of qualitative data can be assured through multiple perspectives throughout data collection to ensure data are appropriate. This may be done through data, investigator, or theoretical triangulation; participant validation or member checks; or the rigorous techniques used to gather the data.
? 2. Transferability (e.g., the extent to which the findings are generalizable to other situations) Generalizability is not expected in qualitative research, so transferability of qualitative data assures the study findings are applicable to similar settings or individuals. Transferability can be demonstrated by clear assumptions and contextual inferences of the research setting and participants.
? 3. Dependability (e.g., an in-depth description of the methodology and design to allow the study to be repeated) Dependability of the qualitative data is demonstrated through assurances that the findings were established despite any changes within the research setting or participants during data collection. Again, rigorous data collection techniques and procedures can assure dependability of the final data set.
? 4. Confirmability (e.g., the steps to ensure that the data and findings are not due to participant and/or researcher bias) Confirmability of qualitative data is assured when data are checked and rechecked throughout data collection and analysis to ensure results would likely be repeatable by others. This can be documented by a clear coding schema that identifies the codes and patterns identified in analyses. Finally, a data audit prior to analysis can also ensure dependability.
Format of this assignment is a bulleted checklist with these 4 criteria. For each of the four criteria, itemize four checks for data quality you will use to assess the final data set after data collection has closed.
1. Credibility
a.
b.
c.
d.
? 2. Transferability
a.
b.
c.
d.
? 3. Dependability
a.
b.
c.
d.
? 4. Confirmability
a.
b.
c.
d.
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