Home » 7 Ways Discourse Analysis Is Helpful In Academic Research

7 Ways Discourse Analysis Is Helpful In Academic Research

by admin
Discourse Analysis

Research is a detailed study that does not rely on the picture shown by others but works well to get the unexplored aspects to understand the real concept. Discourse analysis has frequent use in academic research because of its practical framework. It is a method of analysis that aims to structure the collected text for academic research and get insight of responses.

Table of Contents

In general, this analysis is supposed to get the linguistic details, but the analysis fits best for many other activities having a significant role in research. As per its importance, this article aims to discuss how discourse analysis is supportive in academic research.

How is Discourse Analysis Helpful in Academic Research?

Following are the 7 ways discourse analysis is helpful in academic research:

DA Addresses Social Problems

The principles of discourse analysis are very helpful in academic research. One of the principles of discourse analysis is to address the social problem to get insights and find the best solution for it. The novel researchers take DA as a useful approach to focus on language and its uses. Although this is affirmative, its uses are not limited to language only. You can better use its features of social processes. Also, you can target the cultural processes and build effective relationships that are usually unseen by the audience. DA does not address social problems theoretically, but it primarily finds the real-world significance of several issues connected with social and cultural aspects. Furthermore, it works well for administrative as well as commercial contexts in academic research.

Power Relations are Discursive

By using discourse analysis in academic research, you can debate on different levels of power and practise as per the cultural aspects of a particular society. On the other hand, discursive features are linked with power relations which ensure the implementation of creative ideas that define solutions from psychological aspects. So, you can make it useful to find ways to stimulate and replicate the relationship with all of its core details.

At the time of working on academic research on mass media, you can make the best use of DA in terms of power relations and discursive practices. In this way, you can get effective access to sort out journalism problems that use power at different levels. In journalism, the principle of power relations is discursive, facilitating you to find the best interviewer and news to report that can influence the general public and make fractional control on it. It helps you access a large sample size for academic research. Meanwhile hiring dissertation writing services to get this analysis done by experts is another great thing you may proceed with.

Discourse Does Ideological Work:

In academic research, you are not supposed to go for the wordy meaning of any terminology, but you have to do an in-depth evaluation. Most of the time, you may have to do research on ideological work. In this aspect, discourse analysis helps you understand the process and produce ideologies for a research study. To discourse constitutes society and culture, you can restore the social belongings and come up with the best end results. In simple words, it regards the social functions of language. From verbal expressions to social-cultural factors, you can analyse all dynamics in detail.

Transitivity:

Discourse analysis in academic research plays a primary role in scrambling the meaning of phrase and then providing transitivity to the real world. In academic research, you have to collect data for proper analysis that helps you find the study results. At the time of data collection, you need to encode the responses of targeted audience. In quantitative research, you are not supposed to get insights into any response. On the other, when you need to go for a qualitative research approach, it demands an in-depth evaluation of responses collected from targeted audience.

In it, you have to develop a big picture of thoughts delivered by the respondents. The transitivity approach helps you target the reality spoken by the respondent. Also, discourse analysis helps you critically evaluate the actions and events that directly or indirectly impact academic research. For events, you can go for the material process, while actions spoken for the mental and verbal process of transitivity.

Interactional Control Features:

Based on the objective and problem statement of academic research, you may have to identify and analyse the international control features of a specified text. It is common to work on case studies while doing research. In this regard, you have a control over the topics because of the interaction control feature of discourse analysis. It is DA that provides you with a path to finalise some relevant themes of study. In this way, you can define a compelling start as well as the end of the interactions. The interactional control features are associated with text or data in written form.

Presuppositions:

Presupposition in discourse analysis is the assumptions made on the basis of available information. Here, you do not have to collect background information, but the focus area is available on collected information. The analysis of available information helps you get the hidden features, and you can make assumptions about the background of a particular statement. In academic research, when you discuss presupposition, you have to highlight if it is from the side of the respondent or the writer. This aspect should not be taken for granted but approached in all negation to find the best solution of selected dilemmas. 

Mood And Modality:

Mood and modality are other discourse analysis’ features, making it the centre of attention. It directs research towards systemic functional linguistics obtained from CDA (critical discourse analysis). The mood and modality of DA work well for making the likelihood of judging the responses collected from the targeted audience of academic research. It includes all the odds of a problem under discussion. 

Final Thoughts:

The above-mentioned points help you get the uses of discourse analysis. By understanding these pointers, you can make the best use of this analysis. In this way, you can grasp the attention of the reader, and it becomes less challenging to make your academic research fantastic.

Leave a Comment