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When involving stakeholders in the data collection and analysis process, it is essential for them to understand the difference between validated data versus basic data points. It is important to assure the stakeholders that the quantitative data are quality information that has been looked at multiple ways, such as tracking the data by hand, using grid organizers to examine the data, reconciliation reports, and/or verifying data relevant to the benchmarks set. These efforts are driven by a desire to validate the numbers being put into recording spaces (e.g., computers, Excel spreadsheets) and to make sure the numbers look correct, as much as possible. Likewise, when examining qualitative data, you want to validate the information/data that subjects are giving you.
For example, you may have the subjects look at and verify the accuracy of transcripts and/or you may read back to them what they said and ask them to confirm, deny, and/or clarify that the information gathered is accurately represented. Another method of validation is triangulation of data in research studies whereby multiple sources of data or multiple approaches to analyzing the data are employed as well as multiple people looking at outcomes to make sure the data look correct.
Validated data are generated using data collection and analysis processes that can be replicated and yield similar results in other contexts. A primary intent of involving stakeholders in the use of validated data is to generate trust in the process. Therefore, involving stakeholders in data collection and analysis requires educating them about the related process(es) as simply and precisely as possible, whether they are part of the data being collected or consumers of the reported data.
For this Discussion, you will assume the role of a consultant and provide an evidence-based approach for an organization regarding getting stakeholders involved to help with data collection and analysis.
RESOURCES
Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.
TO PREPARE
· Consider the following scenario:
You are a consultant coming into an organization to help with data collection and analysis. How will you get the stakeholders involved in the process so that they understand the importance of validated data use, versus nonvalidated data, for the organization?
· Select two scholarly articles that validate your approach with the stakeholders in the scenario.
· Review your Levels of Evidence table, consider where and why the articles fit in the table. (
Note: You will include the Levels of Evidence table in your post.)
BY DAY 3
Post your response to the consultant scenario.
· Part 1: How will you get the stakeholders involved in the process so that they understand the importance of validated data use, versus nonvalidated data, for the organization? State your opinion and validate with two peer-reviewed, scholarly resource(s). (150 words: Keep word count consistent for all Discussions.)
· Part 2: Using your Levels of Evidence table, explain what level the articles are in and why. Post the Levels of Evidence table you are creating.
