Data Integrity Issues Assignment

Data Integrity Issues Assignment
Data Integrity Issues Assignment
Data Integrity Issues Assignment
Week 5 discussion Data Collection and Measurement Access the following information. You may read the PDF online or download it. American Nurses Association. (2014). Fast facts: The nursing workforce 2014: Growth, salaries, education, demographics & trends. ANA. http://nursingworld.org/MainMenuCategories/ThePracticeofProfessionalNursing/workforce/Fast-Facts-2014-Nursing-Workforce.pdf (Links to an external site.)Links to an external site. Review these facts, and describe what the results say about this sample of the nursing workforce. What do you believe was the intent of the researcher who designed the survey? The next process for our study is to collect data. The research design will indicate the best data to be collected. The tools that we use to collect data need to be reliable and valid. Define these terms with respect to research, and explain why they are important. Consider data collection and measurement methods for your nursing clinical issue. Explain how you would collect data and what measurement methods you would use.
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© homeworkjoy.comData collection is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a component of research in all fields of study including physicaland social sciences, humanities,[2] and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed.
Regardless of the field of study or preference for defining data (quantitative or qualitative), accurate data collection is essential to maintaining the integrity of research. The selection of appropriate data collection instruments (existing, modified, or newly developed) and clearly delineated instructions for their correct use reduce the likelihood of errors.
A formal data collection process is necessary as it ensures that the data gathered are both defined and accurate. This way, subsequent decisions based on arguments embodied in the findings are made using valid data.[3] The process provides both a baseline from which to measure and in certain cases an indication of what to improve.