Reference no: EM133349793
Case Study: Individual experiences in response to a particular occurrence are the focus of phenomenological research. A qualitative study is a comprehensive investigation of a phenomenon that focuses on non-numerical data (Mitchell et al., 2013). The optimal sources of qualitative data for this study include the following:
The interview may be unstructured or semi-structured, and the CEO will encourage the respondent to disclose their experiences candidly. The interview questions should seek clarification and further inquiry into the reasons why nurses are quitting their positions. By addressing the underlying causes and effects, questionnaires and open-ended surveys should be constructed to investigate the rate and patterns of nurse turnover (Mitchell et al., 2013). This lets the researcher talk to nurses who have quit their jobs and get first-hand information about why there are more people leaving their jobs.
The most effective methods of data analysis are theme analysis and interpretive phenomenological analysis because they can be used to analyze written or spoken communications and patterns of meaning in a data set, such as data from interviews and surveys (Mitchell et al., 2013). Artifacts are not effective sources of qualitative data for determining why nurses are leaving their professions (Mitchell et al., 2013). By examining artifacts and historical information, we are unable to explain the causes of increased nurse turnover. Also unacceptable as a data source is direct observation, as the CEO cannot understand why nurses are leaving their professions by merely viewing them. Due to the complexity of the subject, the CEO can only observe their explanations but cannot comprehend them. Since they examine patterns within content, such as phrases, images, and words in documents and papers, qualitative content analysis, discourse analysis, and grounded theory are not ideal for analyzing data.
Question: "You plan a correlational study, administer an anonymous survey, and collect interval data for all four variables. What parametric and nonparametric statistical tests can you use to analyze the data?"
How did your response answer this?