Whatever method you choose, your data should be presented in the simplest possible form so that the reader can easily comprehend it. After properly analysing the pros and downsides of each approach, the researcher should choose a data presentation strategy.
The benefits and drawbacks of displaying textual data are explored below. The meaning of the data can be better understood and interpreted when the data is presented in text format.
When displaying data in text, there are a few things to keep in mind.
The researcher should be aware of the target audience who will read it. The data should be presented in an easy-to-understand way, with the most relevant parts of the findings highlighted.
In the study, the author should use language that is free of prejudice. Prejudiced, distorted, or inflammatory wording should be avoided.
Maintain accuracy in presenting data and analyse the numbers and percentages supplied in the textual material to avoid any mistakes in the presentation.
Extraneous material should be omitted by the researcher to make it easier for the audience to comprehend the data's primary themes. The audience may find it challenging to focus on the most significant components of the data if there is too much information.
The goal of textual exposition will be defeated if the same point is repeated again and over. If you find yourself doing the same data searches again and over, your data presentation will get monotonous.
Maintain accuracy in presenting data and analyse the numbers and percentages supplied in the textual material to avoid any mistakes in the presentation.
If possible, longer phrases should be reduced, and two sentences should be combined wherever practicable.
Researchers frequently make the mistake of using general descriptive terms such as too much, little, exactly, all, always, never, must, and others. These phrases should not be used in your data presentation since they just add to the clutter. In defining and attaining the purpose of data display, numbers and percentages are more accurate.
Another thing to bear in mind while presenting statistics is to avoid using fancy terminology and instead use academic language.
The Advantages of Textual Presentation
The use of writing to display data might help to emphasise some crucial points. It allows the researcher to place the facts in perspective so that the reader can understand it.
Textual presentation is a quick and easy approach to display tiny amounts of data. When provided in written form, simple data, such as the fact that there are 30 students in the class, 20 of whom are girls and 10 of whom are men, is easy to grasp. Because this data can be comprehended without the need of a table or graph, it may be presented without them.
Textual Presentation's Drawbacks
The most significant drawback of showing textual data is that it generates a large amount of information in the form of words and paragraphs. The reader will find it difficult to draw conclusions based on a single glance. Data displayed in tables or graphs, on the other hand, may make it simpler for readers to draw inferences from the data.
For vast volumes of data with a lot of specifics, textual display isn't the best option. The researcher can easily see enormous amounts of data using graphical or tabular representations.
To absorb and comprehend the essential idea in a textual presentation, it is important to read the entire text.
EDITOR'S SOURCE: Researchprojects
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