EFFECTIVE WAYS TO GET RELEVANT DATA FOR WRITING AN EXCELLENT DISSERTATION

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EFFECTIVE WAYS TO GET RELEVANT DATA FOR WRITING AN EXCELLENT DISSERTATION

You are a final year student, and you already know the importance of your dissertation. As these dissertations are the doorway towards completion of your academic degree Suppose you have plenty of ideas and scattered thoughts for your final year research project. Imagine how hard it would be to have opinions but struck on how to mould those ideas into a final topic.

Think about how important is it for your dissertation to collect data and information to keep the research continued. Think about how important is it to acquire data for your dissertation to develop an efficient idea. Think without covering any aspect of a topic how will you be able to conclude the topic and form a research question. Puzzled from where to collect such data that is relevant to your dissertation topic?

Well, the importance of data collection cannot be denied while writing a dissertation as it is the only source that keeps the research going. Without researching and collecting enough data, one is unable to get the knowledge of the previously available literature on one subject. Also without data collection one is unable to execute the ongoing dissertation.

The law dissertations are primarily based on data collection. LLB or LLM students are singularly focused on their final year research dissertation for a whole year. Their dissertation, unlike other dissertation, is relatively more challenging and difficult because they are based on factual data. Also, the information collected for law dissertation needs to be supported by evidence of real examples. Reliable custom dissertation writing services are supposed to be the best facility available for law graduates to take benefit from them by getting their dissertation completed professionally.

Types of Data:  To collect data for a dissertation one has to go through many sources. The primary two techniques for the data collection of a law dissertation are primary sources and secondary sources.

Primary data: The primary data is the source of data. It is the first-hand information collected by an author of the dissertation himself. It is relatively more costly process than secondary sources and time consuming as well. The number of ways through which we can collect primary data is known as surveys, interviews, field observation, experiments and questionnaires etc.

Secondary Data: The secondary data is collected from the previously available information sources. To support our primary data we first have to go through the secondary data. Secondary data usually come from different types of organisations and scholars. The sources through which secondary data can be collected includes industrial surveys, computerised databases, newspapers, books, research journals, blogs and websites etc.

SOURCES FOR DATA COLLECTION:

Surveys: Surveys are the basic method to develop an understanding of the people’s problem, the point of view and reaction towards it. There are several methods to conduct surveys. It enables an author to physically and psychologically understand his research problem better.

Interviews: The interview is the direct source for acquiring knowledge from someone. Interviews are face to face conversation with a person who has relevant knowledge relative to your subject.       

Field Observation: Field observation is the common method for collecting idea and estimations about a research problem. It can be done by informing a peer group or without informing.

Experiments: Experiments are conducted in the scientific dissertation where you need to proof your data collection is authentic and proven by experiments.

Questionnaire: Questionnaire is a list of close handed or open handed questions. A participant needs to fill the form to become an evident and participant of the study. Also, the questionnaire is important to record the reaction of people towards a specific research question.

By | 2019-02-20T21:30:31+00:00 February 20th, 2019|Dissertation Writing|0 Comments

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