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Unit 7 Discussion 1 - Research Methodology Peer Review Note: You are required to complete this discussion before submitting the unit assignment. For this discussion, complete the following: a. Choose and describe the sampling strategy that will be used in your proposed qualitative study. b. Provide a rationale for your sampling strategy. c. Identify and justify the sample size that you will use. d. Discuss the data collection procedures that will be used in your proposed study. e. Develop 10 open-ended questions to be used in a qualitative interview for your proposed study. f. Once you have received feedback from other peer-learners, revise the discussion based on the feedback and make sure to include and reference your peers feedback. MUST READ THE FOLLOWING READINGS Use your Qualitative Research & Evaluation Methods text to complete the following: Read Chapter 5, "Designing Qualitative Studies," pages 244–326. Read Chapter 6, "Fieldwork Strategies and Observation Methods," pages 327–338. Read Chapter 7, "Qualitative Interviewing," pages 339–422. Use your Qualitative Inquiry and Research Design text to complete the following: Review Chapter 7, "Data Collection," pages 147–180. Focus on data collection techniques. Review Chapter 6, "Introducing and Focusing the Study," pages 127–146. Focus on the subsection "Subquestions." Use the attached article to review Percy, Kostere, and Kostere's 2015 article, "Generic Qualitative Research in Psychology," from The Qualitative Report , volume 20, issue 2, pages 76–85. Read the document Data Collection. Transcript Read Qualitative Research Proposal Unit 7 - Research Design and Methodology Details Introduction The purpose of the study should address the following: 1. Is this study new or different from other studies in some way? 2. Does the study extend prior research on the topic in some way? 3. Does the study fill a gap in the existing literature? The methodology describes the overall blueprint of the study (research design) and how the research participants will be recruited (sampling). Data collection procedures vary depending on the methodology and the phenomenon under inquiry. Method and Types of Data Following are the types of data for each method: Ethnography. Primary: Participant observation, field notes, and unstructured or structured interviews (sometimes audiotaped or videotaped). Secondary: Documents, records, photographs, videotapes, maps, genograms, sociograms, and focus groups. Case study. Primary: Interviews (usually audio-taped), participant and nonparticipant observations, documents and records, detailed description of context and setting, and chronological data. Secondary: Audiovisual data. Phenomenology. Primary: Audio-taped in-depth conversations and open-ended interviews and phenomenological literature. Secondary: Poetry, biographies, literature, art, and film. Grounded theory. Primary: Interviews (usually audio-taped), participan ...
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Topic 3 DQ 1 A doctoral learner has decided to do a qualitative descriptive study for his/her proposed dissertation research study topic because it is believed to be the best approach to address the research questions. The researcher's choices of data sources for this particular study are to conduct interviews, to create and administer an open-ended questionnaire, and to review journal entries of the participants in the sample. Will these data sources generate the breadth and depth of the data necessary for this design? Why or why not? What challenges might the researcher encounter in collecting data from these sources? Explain. Francie There are three components that are included for the research study topic. 1. Interviews, which can be structured. 2. Open-ended questionnaires, which could be semi-structured. 3. Journal entries, which could be unstructured. I do believe that there is potential for a researcher to have what they need due to the three components and the variability of the three approaches that may be used for this descriptive study. What leads me to believe this is due to the use of journey entries. “Journaling helps students engage in introspection and analyze situations critically” (Schuessler et al., 2012). Alt et al. (2020), points out that, “unstructured entries were largely descriptive” (Alt et al., 2020). Which could then be interpreted and or mean that it is through the journey entries a researcher may be able to obtain or uncover information that an individual may not disclosure (because they may be uncomfortable, or the questions were not structured in a such a way to bring about the information) in an interview or through an open-ended questionnaire. Guldeep DeMarrais (2004) defines a research interview as “a process in which a researcher and participant engage in a conversation focused on questions related to a research study” (p. 55). Most qualitative research studies’ data are collected through interviews. Additionally, collective or group formats may also be utilized (Merriam & Tisdell, 2016). The person-to-person interview is the most common form, where one person elicits information from another (Merriam & Tisdell, 2016). In an unstructured or informal interview, the open-ended questions provide a forum for open conversation where the interviewer can ensure a wide range of topics are covered. Merriam and Tisdell (2016) also share that highly structured interviews in qualitative research with rigid predetermined questions, may not allow participants' full perspectives and understandings. These limitations are challenges the doctoral learner should continue to evaluate throughout the process to ensure they are not too limited with variety of data. Merriam and Tisdell (2016) note that asking good questions is key to obtaining meaningful data. Interview questions can ask for opinions, experiences, knowledge, feelings, and follow-up questions are important to assist in complete answers to pre-determined question.
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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
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FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
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Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Why Teams call analytics are critical to your entire business
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FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
Lecture 10 primary data collection interviews
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