Coursework

By Author: Payel Guha
Total Articles: 74
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Coursework is an important part of your education life. You have to do all the needful work for making a proper coursework.
The making of a paper starts with the selection of a subject. After selection of the subject you need to literature review to know the subject in depth. There are two types of data that you will require for making your paper. One is primary data that you have to collect from field and another is secondary data that you have to collect from secondary sources. There are different methods of collecting primary data one of them is the questionnaire method. Success of questionnaire method of collection of data depends mainly on proper drafting of the questionnaire. In drafting a questionnaire, following general principles should be considered:
1) The number of questions should be as less as possible. If a lengthy questionnaire is unavoidable, it should be divided into two or more parts.
2) Questions should be short and simple.
3) Questions should be such that the answers to them are short. For instance, the question- ‘Are you married? ‘Can be answered by saying ‘Yes' ...
... or ‘No' by the informants.
4) As far as possible, questions regarding personal matters should not be asked. The questions should be so framed that they do not hurt the feelings of the informants.
5) Questions should not be ambiguous, they should be objective. Any scope for misinterpretation should not be there.
6) Questions should be logically arranged.
7) Any clarification, if necessary, regarding any of the questions, should be supplied.
8) Questions should be so framed that validity of the information supplied by the informant can be cross checked.
9) A covering letter introducing the investigator and indicating the purpose of the survey should be attached to the questionnaire. It should supply necessary instructions to the informants regarding the return of the questionnaire, degree of accuracy etc.
For getting the secondary data you need to do a lot of literature survey in different related fields. It might not be possible to collect every data from the subject of study and for that you need to do sampling. One of the sampling techniques is cluster sampling. In cluster sampling we divide the population into groups, or clusters, and then select a random sample of these clusters. We assume that these individual clusters are representative of the population as a whole. If a market research team is attempting to determine by sampling the average number of television sets per household in a large city, they could use a city map to divide the territory into blocks and then choose a certain number of blocks (clusters) for interviewing. Every household in each of these blocks would be interviewed. A well designed cluster sampling procedure can produce a more precise sample at considerably less cost than that of simple random sampling.

The collected data is analyzed using different unbiased and valid methods for arriving at any reliable conclusion. The whole method is written in the prescribed format.

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