In a textual format, information is presented as words, phrases, and paragraphs. The graphical representation of facts is diametrically opposed to textual exposition. While graphical data presentation is the most popular and widely used in education research ideas, textual data presentation allows researchers to express qualitative data that cannot be represented visually or in tabular form.

Information can be shown by text, tables, and/or graphs. The type of data, the analytic process, and the information sought from the data all have an impact on how the data is presented.

Whatever method you employ, your data should be presented in the simplest possible form so that the reader can understand it. After extensively analysing the merits and downsides of each data presentation style, the researcher should choose one.

 

Below, we'll go through the benefits and drawbacks of displaying textual data. The relevance of the facts can be better understood and interpreted when presented in textual form.

 

When displaying data in text, there are a number of things to consider.

 

Textual presentation is incredibly helpful when it comes to conveying contextual data. It makes it easier for the researcher to interpret and analyse specific data pieces. When presenting data in textual form, the researcher should take into account the following components.

 

The researcher should be aware of the intended audience that will read it. The data should be presented in an easy-to-understand way, with the most relevant features of the findings being highlighted.

 

In the research, the author should utilise non-biased terminology. Prejudiced, distorted, or emotional wording should be avoided.

 

Maintain accuracy when presenting data and analyse the numbers and percentages supplied in the textual material to avoid any mistakes in the presentation.

 

To make it easier for the audience to comprehend the essential points in the data, the researcher should leave out unnecessary material. The audience may find it challenging to focus on the most relevant components of the data if there is too much information available.

 

The goal of textual exposition is defeated if the same point is repeated again and over. Your data presentation will become monotonous if you find yourself repeating data searches.

When possible, longer phrases should be condensed, and two sentences should be combined.

 

Researchers frequently make the mistake of using general descriptive terms like "too much," "too little," "exactly," "all," "always," "never," "must," and others. These phrases should not be included in your data presentation since they only add to the amount of information that is already there. In describing and attaining the purpose of data visualisation, numbers and percentages are more accurate.

 

Another thing to remember is to utilise scholarly language rather than flashy terminology in your data presentation.

 

The Benefits of a Textual Presentation

 

When data is supplied in text format, the researcher may provide a more complete explanation of the data. According to In and Lee (2017), writing is the most common method for presenting findings, recognising trends, and providing context.

It allows the researcher to convey qualitative information that cannot be expressed visually or mathematically.

 

Using language to display data might help to emphasise some essential points. It allows the researcher to place the information in context so that the reader can understand it.

Textual presentation is a quick and easy technique to display tiny amounts of information. Simple information, such as the fact that there are 30 students in the class, 20 of whom are girls and 10 of whom are boys, is easier to understand when provided in text form. Because this data can be comprehended without a table or graph, it may be presented without them.

 

The Limitations of Textual Presentation

 

The biggest disadvantage of displaying textual data is that it creates a large amount of data in the form of words and paragraphs. A single glimpse will make it tough for the reader to form judgments. In contrast, data presented in tables or graphs may make it easier for readers to draw conclusions from the data.

 

Textual presentation is not the ideal solution for large amounts of data with a lot of details. Using graphical or tabular representations, the researcher may quickly display massive volumes of data.

 

It is necessary to read the complete book to grasp and comprehend the central concept of a textual presentation.

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