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Writing Chapter 4: The Results of Your Research Study The purpose of this chapter is to summarize the collected data and the statistical treatment, and/or mechanics, of analysis. The first paragraph should briefly restate the problem, taken from Chapter 1.
Chapter 4 is comprised of the following content: The results or findings on the data collected and analysed. Results of descriptive analyses Results of inferential analyses (Quantitative). Findings of text analyses (Qualitative).
What needs to be included in the chapter?Introduction. Remind the reader what your research questions were. In a qualitative study you will restate the research questions. Findings (qualitative), Results (quantitative, and Discussion (quantitative) In a qualitative study the information to be reported is called findings.
When it comes to structuring a chapter, a chapter should:have an introduction that indicates the chapter’s argument / key message.clearly address part of the thesis’ overall research question/s or aim/s.use a structure that persuades the reader of the argument.
In the social sciences, coding is an analytical process in which data, in both quantitative form (such as questionnaires results) or qualitative form (such as interview transcripts) are categorized to facilitate analysis.
Terms in this set (8)Natural setting. Qualitative researchers often collect data in the field at the site where participants experience the issues or problem under study. Researcher as key instrument. Multiple methods. Complex reasoning. Participants’ meanings. Emergent design. Reflexivity. Holistic account.
Open codingTurn your data into small, discrete components of data. Code each discrete pieces of data with a descriptive label. Find connections and relationships between code. Aggregate and condense codes into broader categories. Bring it together with one overarching category.
Open coding in grounded theory method is the analytic process by which concepts (codes) to the observed data and phenomenon are attached during qualitative data analysis. Open coding aims at developing substantial codes describing, naming or classifying the phenomenon under consideration.
In vivo coding is a form of qualitative data analysis that places emphasis on the actual spoken words of participants. Although in vivo coding is probably the most common name for this form of coding, it is also referred to as verbatim coding, literal coding, and natural coding (Saldaña, 2016).
Open coding is an essential methodological tool for qualitative data analysis that was introduced in grounded theory research. Open coding refers to the initial interpretive process by which raw research data are first systematically analyzed and categorized.
Simply put, coding is used for communicating with computers. People use coding to give computers and other machines instructions on what actions to perform. Further, we use it to program the websites, apps, and other technologies we interact with every day.
Pattern coding is a way of grouping summaries into a smaller number of sets, themes, or constructs. 2. Focused coding searches for the most frequent or significant codes. It categorises coded data based on thematic or conceptual similarity. 3.
Open coding: Basically, you read through your data several times and then start to create tentative labels for chunks of data that summarize what you see happening (not based on existing theory – just based on the meaning that emerges from the data).
Quantitative coding is the process of categorising the collected non-numerical information into groups and assigning the numerical codes to these groups. Numeric coding is shared by all statistical software and among others, it facilitates data conversion and measurement comparisons.
Descriptive coding will summarize in a word or noun the basic topic of a passage of qualitative data and in vivo coding will place emphasis on the actual spoken words of the participants.
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