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NR 505 Week 5 and Week 6 Graded Discussions: Data Collection Complete

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NR 505 Week 5 and Week 6 Graded Discussions: Data Collection Complete. Data collection is at the center of research because the facts gathered will contribute new information as well as answer the research question. For ...

NR 505 Week 5 and Week 6 Graded Discussions: Data Collection Complete. Data collection is at the center of research because the facts gathered will contribute new information as well as answer the research question. For this discussion, please respond to each of the following topics.  Refine your PICOT question.  Explain your specific research approach (qualitative or quantitative or mixed methods) and how it has the potential to answer your research question.  Discuss you data collection method, addressing strengths and identifying one potential weakness.  Identify the actions you are proposing that will help ensure that quality data may be produced by your EBP project. Dr. Pat and Classmates: Researchers are frequently charged with the task of undertaking research that is both credible and has wider reaching applicability to the larger population. The time and expense involved in research can make it challenging for researchers to study entire populations and, as a result, sampling techniques are used to assist in the selection of a representative sample (Kandola, Banner, O’Keefe-McCarthy, & Jassal, 2014). The process of selecting a sample can be complex and the researcher must have sound knowledge of the population characteristics and sampling methods in order to ensure that a valid and robust sample is selected. If the researcher fails to achieve this, the research may not capture a correct target population and, as a result, the study may have limited applicability and usefulness at the level of practice (Kandola et al., 2014). There are two main sampling approaches: probability and non-probability sampling. However, probability sampling is the only dependable way of finding representative samples in quantitative studies (Polit & Beck, 2008). Probability sampling can be defined as the random selection of elements from the population, where each element of the population has an equal and independent chance of being included in the sample

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