The purpose of the discussion is
to interpret and describe the significance of your findings in light of what was already known about the research problem being investigated
, and to explain any new understanding or fresh insights about the problem after you’ve taken the findings into consideration.
What is a discussion and analysis?
Management discussion and analysis (MD&A) is
a section within a company’s annual report or quarterly filing where executives analyze the company’s performance
. The section can also include a discussion of compliance, risks, and future plans, such as goals and new projects.
What is analysis and discussion in research?
The Discussion section represents the
analysis
of your research paper. … It is what all of your hard-work of writing the hypothesis, collecting and designing the data, conducting the statistical analysis of graphs and preparing the summary sums up to.
What is the difference between analysis and discussion?
is that analysis is analysis while
discussion is conversation or debate concerning a particular topic
.
What is data analysis example?
A simple example of Data analysis is
whenever we take any decision in our day-to-day life
is by thinking about what happened last time or what will happen by choosing that particular decision. This is nothing but analyzing our past or future and making decisions based on it.
What is an example of discussion?
An example of a discussion is
when two or more people disagree and decide to sit down and talk out their different opinions
. … Conversation or debate concerning a particular topic. There was then a long discussion of whether to capitalize words like “east”. This topic is not open to discussion.
How do you start a discussion?
- Refer to questions you distributed. …
- Make a list of key points. …
- Use a partner activity. …
- Use a brainstorming activity. …
- Pose an opening question and give students a few minutes to record an answer. …
- Divide students into small groups to discuss a specific question or issue.
What do you write in a discussion?
A good discussion section includes
analysis of any unexpected findings
. This paragraph should begin with a description of the unexpected finding, followed by a brief interpretation as to why you believe it appeared and, if necessary, its possible significance in relation to the overall study.
How do you structure a discussion?
- Summarize the key findings in clear and concise language. …
- Acknowledge when a hypothesis may be incorrect. …
- Place your study within the context of previous studies. …
- Discuss potential future research. …
- Provide the reader with a “take-away” statement to end the manuscript.
How do you write an analysis?
- Choose your argument.
- Define your thesis.
- Write the introduction.
- Write the body paragraphs.
- Add a conclusion.
How do you explain results and discussion?
- Don’t repeat results.
- Order simple to complex (building to conclusion); or may state conclusion first.
- Conclusion should be consistent with study objectives/research question. …
- Emphasize what is new, different, or important about your results.
- Consider alternative explanations for the results.
- Limit speculation.
Do you refer to figures in discussion?
If appropriate,
refer the reader to a figure or table
to help enhance the interpretation of the data [either within the text or as an appendix]. Regardless of where it’s mentioned, a good discussion section includes analysis of any unexpected findings.
What are the steps in data analysis?
- Step One: Ask The Right Questions. So you’re ready to get started. …
- Step Two: Data Collection. This brings us to the next step: data collection. …
- Step Three: Data Cleaning. …
- Step Four: Analyzing The Data. …
- Step Five: Interpreting The Results.
What are the examples of analysis?
The definition of analysis is the process of breaking down a something into its parts to learn what they do and how they relate to one another.
Examining blood in a lab to discover all of its components
is an example of analysis.
What is the importance of data analysis?
Data analysis is important in
business to understand problems facing an organisation, and to explore data in meaningful ways
. Data in itself is merely facts and figures. Data analysis organises, interprets, structures and presents the data into useful information that provides context for the data.
What does a discussion look like?
A discussion is
interactive
. We listen to each other, paying attention to what the other person is saying. Afterward, what we say responds to what they just said. In a discussion, ignoring the other person’s point or talking over them is considered bad behavior.
