How do you write a good discussion?

How do you write a good discussion?

A good discussion section includes analysis of any unexpected findings….These are the general rules you should adopt when composing your discussion of the results:

1. Do not be verbose or repetitive.
2. Be concise and make your points clearly.
3. Avoid using jargon.
4. Follow a logical stream of thought.

How do you start a discussion in a report?

The discussion can start with a summary of the aims and the results (write about x-fold or % changes rather than just repeating the results) You should try to explain the results, but only within the context of the study – integrating swags of theory into the discussion is not necessary and leads to rambling reports.

How do you write a good Results and Discussion section?

Presentation

1. Don�t repeat results.
2. Order simple to complex (building to conclusion); or may state conclusion first.
3. Conclusion should be consistent with study objectives/research question.
4. Emphasize what is new, different, or important about your results.
5. Consider alternative explanations for the results.
6. Limit speculation.

What goes in a discussion section?

The discussion chapter is where you delve into the meaning, importance and relevance of your results. It should focus on explaining and evaluating what you found, showing how it relates to your literature review and research questions, and making an argument in support of your overall conclusion.

How do you discuss a topic?

Learn to listen

1. Be an active listener and don’t let your attention drift.
2. Identify the main ideas being discussed.
3. Evaluate what is being said.
4. Listen with an open mind and be receptive to new ideas and points of view.
5. Test your understanding.
6. Ask yourself questions as you listen.

What should I write in findings?

The findings include:

1. Data presented in tables, charts, graphs, and other figures (may be placed among research text or on a separate page)
2. A contextual analysis of this data explaining its meaning in sentence form.
3. Report on data collection, recruitment, and/or participants.

How do you write a discussion in qualitative research?

Organize the discussion from the general to the specific, linking your findings to the literature, then to theory, then to practice [if appropriate]. Use the same key terms, narrative style, and verb tense [present] that you used when describing the research problem in your introduction.

What is qualitative research example?

A good example of a qualitative research method would be unstructured interviews which generate qualitative data through the use of open questions. This allows the respondent to talk in some depth, choosing their own words. Photographs, videos, sound recordings and so on, can be considered qualitative data.

How do you write a qualitative methodology?

How to write an effective methodology section?

1. Introduce your methods.
2. Establish methodological connection.
3. Introduce your instruments.
4. Discuss your analysis.
5. Provide background information.
6. Discuss sampling process.
7. Address research limitations.

What is qualitative methodology?

Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. Qualitative research is the opposite of quantitative research, which involves collecting and analyzing numerical data for statistical analysis.

What are the types of qualitative design?

Grounded theory, ethnographic, narrative research, historical, case studies, and phenomenology are several types of qualitative research designs. The proceeding paragraphs give a brief over view several of these qualitative methods.

Is color qualitative data?

Examples of Qualitative Data The colors red, black, black, green, and gray are qualitative data.

What are qualitative words?

The adjective “qualitative” comes from the noun “quality.” It is commonly used to describe the words “data,” “information,” and “research.” Qualitative information is a description of a trait that can be observed but not measured.