How do you write results and discussion in quantitative research?

How do you write results and discussion in quantitative research?

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.

How should you present your discussion of the results in your research?

The results of experiments are almost always presented separately from discussion.

1. Present results in tables and figures.
2. Use text to introduce tables and figures and guide the reader through key results.
3. Point out differences and relationships, and provide information about them.

How do you do discussions and findings?

Discussing your findings

1. DO: Provide context and explain why people should care. DON’T: Simply rehash your results.
2. DO: Emphasize the positive. DON’T: Exaggerate.
3. DO: Look toward the future. DON’T: End with it.

What is findings and discussion?

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 do you mean by findings?

Someone’s findings are the information they get or the conclusions they come to as the result of an investigation or some research. One of the main findings of the survey was the confusion about the facilities already in place. Manufacturers should take note of the findings and improve their products accordingly.

What are main findings?

The principal outcomes of a research project; what the project suggested, revealed or indicated. This usually refers to the totality of outcomes, rather than the conclusions or recommendations drawn from them.

What is another word for findings?

In this page you can discover 12 synonyms, antonyms, idiomatic expressions, and related words for findings, like: conclusions, verdicts, discoveries, judgments, summary, finding, questionnaires, data, determinations, decisions and strikes.

How do you write data analysis and findings?

What should a data-analysis write-up look like?

1. Overview. Describe the problem.
2. Data and model. What data did you use to address the question, and how did you do it?
3. Results. In your results section, include any figures and tables necessary to make your case.
4. Conclusion.

What are the types of data analysis in quantitative research?

Descriptive and inferential are the two general types of statistical analyses in quantitative research. Descriptive includes simple calculations of central tendency (mean, median and mode), spread (quartile ranges, standard deviation and variance) and frequency distributions displayed in graphs.

What is an example of a quantitative measurement?

Quantitative is an adjective that simply means something that can be measured. For example, we can count the number of sheep on a farm or measure the gallons of milk produced by a cow.

Which are suitable for quantitative data?

There are many types, including:

• Pie charts and bar graphs are used for qualitative data.
• Histograms (similar to bar graphs) are used for quantitative data.
• Line graphs are used for quantitative data.
• Scatter graphs are used for quantitative data.

How do you show quantitative data?

Quantitative data is often displayed using either a histogram, dot plot, or a stem-and-leaf plot. In a histogram, the interval corresponding to the width of each bar is called a bin. A histogram displays the bin counts as the height of the bars (like a bar chart).

How do you visualize quantitative data?

Examples of Quantitative Data Visualizations

1. Bar Graph. A diagram in which the numerical values of variables are represented by the height or length of lines or rectangles of equal width.
2. Histogram.
3. Pie Chart.

What is the most appropriate plot for quantitative data?

There are many types of graphs that can be used to portray distributions of quantitative variables. Some graph types such as stem and leaf displays are best-suited for small to moderate amounts of data, whereas others such as histograms are best-suited for large amounts of data.

Is a box plot quantitative or qualitative?

Box-and-whisker plots are considered numerical displays of data, as they are based on quantitative data (the mean and median), as well as the maximum (upper) and minimum (lower) values found in the data.