Generally, this section will shed light on how you collected your data. The researcher will have to justify their choice of data collection methods such as literature research, interviews, phone surveys, online surveys and so on. Moreover, choice of data sampling should also be clearly explained with focus on how you made the choice of ethnicity, group, profession and age of the participants.
What type of questions you intend to ask to the respondents and how will they help to answer your research questions or how will they help to test the hypothesis of research? It is recommended to prepare these questions at the very start of your research; when you develop your research aim and questions.
This approach can allow for you the room to change or modify research questions if your methods of data collection are not giving the desired results. In short, you will need to make sure that the data you are going to collect relates to the topic you are exploring. The complexity and length of research design section will vary depending on your academic subject and the scope of your research but any well written research design will have the following characteristics: This will discuss your chosen philosophy to strengthen your research and the research model.
The three most commonly employed research philosophies in the world of academia are interpretivism, positivism, pragmatism, constructivism and post-positivism although there several other research philosophies that you could adopt. The choice of the philosophy will depend on many factors including your academic subjective, and the type and complexity of research study.
Regardless of what philosophy is employed, you will be required to make different assumptions about the world. Once you have chosen your research philosophy, the next step will be to describe the context of your research in order to answer all the W questions including When, Where, Why, How and What. Essentially, as a researcher you will be required to make the decision whether you will be using qualitative method, quantitative method or a mix of both.
The process of data gathering is different for each method. Typically, you would want to decide whether you are going to adopt the positivist approach; defining your hypothesis and testing it against reality. If this is the case then you will be required to take the quantitative approach; collecting numerical data at a large scale from 30 or more respondents and testing your hypotheses with this data. With a qualitative approach, you will have to collect responses from respondents and look at them in all their richness to develop theories about the field you are exploring.
Finally, you can also use a mix of both qualitative and quantitative methods which is becoming increasingly popular among the researchers these days. This method is particularly useful if you are interested in putting quantitative data into a real world context or reflect different perspectives on a subject. This section will require you to clearly specify how you gathered the data and also briefly discuss the tools you used to analyse it. Similarly, if you used a software such as Excel or SPSS to process the data then you will have to justify your choice of software.
In this section of your methodology chapter, you will also have to explain how you arrived at your findings and how they are reliable. Your supervisor or a dissertation research assistant can play a key role to help you write the Methodology chapter to a First Class standard. So keep your supervisor in the loop to get their contributions and recommendations throughout the process.
Always take into account how your research will influence other individuals who are beyond the scope of study. This is especially true for human subjects. As a researcher, you are always expected to make sure that your research and ideas do not harm anyone in any way.
Discussion concerning the data protection, data handling and data confidentiality will also be included in this brief segment. Is your research study and findings reliable for other researchers in your field of work?
In order to establish yourself as a reliable researcher, your study should be both authentic and reliable. Good dissertation writers will always acknowledge the limitations of their research study. Limitations in data sampling did your research study used data that was collected from only one country? A classic example of research limitation is collecting responses from people of a certain age group when you could have targeted a more representative cross-section of the population.
So you should take your time when it comes to choosing the design and philosophical approach of your research.
The Steps involved in writing a Dissertation. In this section you will outline how you collected your data; and you will have to explain your choice for using the methods you did, such as online surveys, phone surveys, face-to-face-interviews and so on. How did you choose your sample? Explain the choice of age group and ethnicity of your respondents. What questions did you ask and how have these contributed towards answering your research question or how did these test your hypothesis which formed the basis of your research?
It is actually better to write this at the start of your research, so that it can be changed if your methods are not producing the results you need. However as this is not usually how dissertations are written- they are written in hindsight, then you will have to be honest about the flaws in the design.
Another thing to remember is that you need to convince the reader that the results you obtain are valid and reliable. When discussing why you selected the methods you did, you should be convincing that these methods are the best ones available given what you want to achieve. You will have to explain how the data was collected by what means and then explain the analysis tools you used.
For example, if you were sampling texts, or have a lot of qualitative data are you using semiotics analysis, discourse analysis and so on. If you used software tools then you will have to say what these were and why you chose to use these particular ones. The choices you made at the beginning of your research study should have been aided by contributions from your supervisor. That being so, writing the Methodology section will be the easiest part of your dissertation. Mixed Method Deductive Research 2.
How to Structure a Dissertation: Understanding Mixed Research Methods. If you enjoyed this article, subscribe to receive more just like it. Including student tips and advice. Click here to ask a question about this article. Dissertation Help How to write a methodology?
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Writing Methodology at the Core of the Research Paper. A well laid out and logical methodology section will provide a solid backbone for the entire research paper, and will lead to a strong results section.
The methodology section of a research paper answers two main questions: How was the data collected or generated? And, how was it analyzed? The writing should be .
The methodology describes the broad philosophical underpinning to your chosen research methods, including whether you are using qualitative or quantitative methods, or a mixture of both, and why. You should be clear about the academic basis for all the choices of research methods that you have made. For academic writing help, focus on these criteria and tips on how to write a great research methodology for your academic article This article is part of an ongoing series on academic writing help of .
To address how to write a methodology, in the Methodology section of your dissertation you have to justify and explain your choice of methodologies employed in your research. You don’t however have to explain the methodological approaches that you could have used. Introduction. Methodology is perhaps the most challenging and laborious part of research work. Essentially, the methodology helps to understand the broad philosophical approach behind methods of research you chose to employ for your study. This means that your methodology chapter should clearly state whether you chose to use quantitative or qualitative data collection techniques or a mixture.