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The best way to present your quantitative findings is to structure them around research hypothesis or research questions you intended to address as part of your dissertation project. Report the relevant findings for each of the research questions or hypothesis with a focus on how you analysed them.
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).
The easiest way to report your results is to frame them around any research sub-questions or hypotheses that you formulated. For each sub-question, present the relevant results, including any statistical analysis you conducted, and briefly evaluate their significance and reliability.
Quantitative studiesDemographic data that describe the sample are usually presented first.Remind the reader of the research question being addressed, or the hypothesis being tested.State which differences are significant.Highlight the important trends and differences/comparisons.
Definition. Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques.
Use when your key findings include only a few data points. Use when your key points lie in the relationships between numbers — demonstrating trends or making comparisons. No matter which visual display you use for your data, keep these things in mind: Only include information pertinent to your key points.
Presenting Quantitative Data GraphicallyCreate a frequency table, bar graph, pareto chart, pictogram, or a pie chart to represent a data set.Identify features of ineffective representations of data.Create a histogram, pie chart, or frequency polygon that represents numerical data.Create a graph that compares two quantities.
3 Rules For Presenting Qualitative & Quantitative DataKnow your audience. Use visuals such as charts, diagrams, and images whenever possible to make hard data more comprehensible. Provide a logical flow from quantitative to qualitative data so your audience can see how the numbers and interpretations are connected.
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.
Here are some example of quantitative data:A jug of milk holds one gallon.The painting is 14 inches wide and 12 inches long.The new baby weighs six pounds and five ounces.A bag of broccoli crowns weighs four pounds.A coffee mug holds 10 ounces.John is six feet tall.A tablet weighs 1.5 pounds.
6 ideas for displaying qualitative dataWord Clouds.Showcasing Open-Ended Survey Data Beside Closed-Ended Data.Photos Beside Participants’ Responses.Icons Beside Descriptions and Responses.Diagrams to Explain Concepts and Processes.Graphic Timelines.
The main point to remember while presenting qualitative interview data is that the reader should not be bored with the minute details – mention the key points and themes as they relate to the research question, rather than reporting everything that the interviewees said; use charts or tables to help the reader …
You should write your results section in the past tense: you are describing what you have done in the past. Warning! Every result included MUST have a method set out in the methods section. Check back to make sure that you have included all the relevant methods.
How to manually code qualitative dataChoose whether you’ll use deductive or inductive coding.Read through your data to get a sense of what it looks like. Go through your data line-by-line to code as much as possible. Categorize your codes and figure out how they fit into your coding frame.
The first step to plotting a qualitative frequency distributions is to create a frequency table. If drawing a bar graph or Pareto chart, first draw two axes. The y-axis is labeled with the frequency (or relative frequency ) and the x-axis is labeled with the category.
There are several different graphs that are used for qualitative data. These graphs include bar graphs, Pareto charts, and pie charts. Pie charts and bar graphs are the most common ways of displaying qualitative data. A frequency table is a summary of the data with counts of how often a data value (or category) occurs.
Pareto charts are used to represent qualitative data. A Pareto chart is a vertical bar graph in which the height of each bar represents either the frequency or the relative frequency. A scatter plot is used when we have paired data with both coordinates being quantitative values.
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.
Bar graphs are best used to compare values across categories. A pie chart is a circular chart used to compare parts of the whole. It is divided into sectors that are equal in size to the quantity represented.
Answer. Numbers like national identification number, phone number, etc. are however regarded as qualitative data because they are categorical and unique to one individual. Examples of qualitative data include sex (male or female), name, state of origin, citizenship, etc.
What is abstract thought?
How do you formulate a research question in quantitative research?