READ THESE three student responses to the original question you need to answer each student SEPERATELY – this is for discussion participation credit-Studentresponsesforweek6.docx
READ THESE three student responses to the original question
you need to answer each student SEPERATELY – this is for discussion participation credit-
Student responses
Original Question- Topic 6 DQ 1
Imagine you are a state-level health policy maker interested in health care access. You want to explore health care access barriers in underserved rural communities. You have contacts in these communities and decide to do a qualitative case study to explore how residents in one small rural community experience difficulties accessing health care services. You plan to use semi-structured interviews, focus groups, and a sociogram as your sources of data. How would you use a thematic analysis approach to analyze these data sets? Should the analysis be inductive or deductive? Why? What is the preferred sequence for analyzing each data set? Explain. In this study, how would you move accordingly from the analysis of raw data to development of codes and thematic findings? Explain.
Tana Response-
As a state-level health policymaker, I explore healthcare access barriers in underserved rural communities. The contacts wards, I decided that the qualitative case study using semi-structured investigate how my interview, focus groups, and sociogram as my data sources. The topical examination is a functional, adaptable, and regularly utilized strategy for personal exploration that recognizes investigates, and deciphers significant examples from an information source. This qualitative data method requires the researcher to read it to derive meaning from the data set. The preferred order for analyzing each data set is first to familiarize oneself with the data, then assign codes, look for, review, define, and name themes or patterns, and finally produce. I would code the data from the sociograms, semi-structured interviews, and focus groups into relevant data sets to determine what these communities' lack of healthcare services means. With enormous data sets that I can categorize into themes, the researcher would employ a thematic analysis method for flexibility in data interpretation. Because the actual data will drive the analysis from the bottom up and the inference drawn from the observation and premise, the reasoning is inductive (Braun and Clarke). In this study, I would proceed accordingly, from analyzing raw data to developing codes and thematic findings by reading the data, assigning codes, and then grouping them into themes and subcodes (Braun and Clarke, 2006). After that, additionally needed coding to examine what the researcher has learned, ensure each code is grouped appropriately according to themes, and then write a final narrative (Braun and Clarke, 2006). The researcher will be able to obtain intuitive data that accurately reflects the information and the descriptions derived with the assistance of qualitative coding (Braun and Clarke, 2006). In the thematic analysis technique in qualitative research, interviews can be better understood and organized (Steffes and Jacobs, (2021). I prefer deductive reasoning in social media surveys, discussions, and questionnaires.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi-org.lopes.idm.oclc.org/10.1191/1478088706qp063oa
Steffes, D. & Jacobs, J. (2021). Introduction to Sampling. Data Collection and Data Analysis. In Grand Canyon University. (Ed.), GCU doctoral Foundational and Theories.
DO you agree or disagree with Tana ? Why or why not?
Kene Response- Hello everyone,
Many researchers find it useful to strike a compromise, employing a semistructured interview format (Steffes & Jacobs, 2021). Semistructured interviews are in-depth interviews in which the participants answer a preset or developed set of open-ended questions, but the researcher is allowed to deviate from that set when desired in order to ask important follow-up questions (Steffes & Jacobs, 2021). Closely aligned with interviewing is the use of focus groups. A focus group is basically an expansion of the instructed or semistructured interview formats, inviting multiple individuals to engage in a group discussion on the phenomenon. Thematic analysis is a method for identifying, analyzing, and reporting patterns (themes) within data (Braun & Clarke, 2006). It minimally organizes and describes your data set in (rich) detail. A theme captures something important about the data in relation to the research question and represents some level of patterned response or meaning within the data set (Braun & Clarke, 2006). Themes or patterns within data can be identified in one of two primary ways in thematic analysis: in an inductive or bottom-up way. An inductive approach means the themes identified are strongly linked to the data themselves as such, this form of thematic analysis bears some similarity to grounded theory. Therefore, I would choose to use an inductive approach for this study, because thematic analysis and grounded theory rely primarily on inductive analysis. Also, in qualitative research, a very different logical sequencing takes place called inductive reasoning. The researchers relies primarily on data collection to drive the study and use theory only to the extent that it informs his or her research questions (Steffes & Jacobs, 2021). Grounded theory involves multiple stages of collecting data often using multiple approaches and multiple groups. Typically included iterative interviews, observations, document collection, and questionnaires with various groups (Steffes & Jacobs, 2021).
Themes come both from the data (an inductive approach) and from the investigator's prior theoretical understanding of the phenomenon under study (a prior approach). Prior themes come from the characteristics of the phenomenon being studied; from already agreed-on professional definitions found in literature reviews; from local, commonsense constructs; and from researchers' values, theoretical orientations, and personal experiences (Ryan & Russell-Bernard, 2003). Codes and coding are ways to progress toward a theory because they develop categories (Saldana, 2013). Coding is just one way of analyzing qualitative data and there are times when coding the data is absolutely necessary, and times when it is most inappropriate for the study at hand (Saldana, 2013). Affective coding methods investigate subjective qualities of human experience (e.g., emotions, values, conflicts, judgments) by directly acknowledging and naming those experiences (Saldana, 2013).raun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative-Research in Psychology, 3(2), 77-101.
Ryan, G. W., Russell Bernard, H. (2003). Techniques to identify themes. Field Methods, 15(1), 85-109.
Steffes, D. & Jacobs, J. (2021). Introduction to Sampling. Data Collection, and Data Analysis. In Grand Canyon University. (Ed.), GCU doctoral Foundational and Theories.
Do you agree with Kene yes or no and why ??
Mit Response
Hello everyone,
The thematic analysis approach refers to interpreting, examining, and reporting themes within the data (Braun et al., 2006). In thematic analysis, the researcher will use codes assigned to a text. Codes are used to identify and analyze concepts within a data set. Thematic analysis is useful when using a large quantity of data like the one from the scenario. Besides, a thematic analysis will be appropriate for this scenario because the researcher will analyze and assess the participants' experiences, views, and opinions. The researcher will assign codes to the data. When using this approach, the analysis can be inductive or deductive. Using an inductive analysis infers that the researcher is creating themes or meanings without preconceptions. On the other hand, when using a deductive analysis, the researcher works with themes that one is expected to find in the data. I believe the researcher will use a deductive analysis because one is likely to find that the residents in these rural areas have difficulties accessing health care.
To analyze each data set, the researcher will code the data, categorize the data and finally develop a theme to obtain results; the process is iterative (Chess et al., 2021). This process is crucial because it allows the researcher to analyze and uncover the data deeply. Besides, it will also enable the researcher to claim the work as scientifically rigorous and systematic (Chess et al., 2021). For this scenario, the researcher will transcribe all the recordings and then proceed to code, for instance, the socioeconomic status of the area's residents. Then the researcher can categorize the data and develop themes to find the results. Thanks for reading.
References
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101
Chess, P.S., & Adams-Thies, B. (2021). Qualitative data analysis. GCU Doctoral Research: Introduction to Sampling, Data Collection, and Data Analysis.
Do you agree with Mit yes or no and why
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