Friday, August 23, 2019

CRJS405DB2 Research Paper Example | Topics and Well Written Essays - 250 words

CRJS405DB2 - Research Paper Example Participant observation requires the researcher to mingle with the audience so that he can observe from the inside what happens in the community, for example. On the other hand, non- participant observation requires the researcher to be a bit far from the community to observe them in a distance where the audience may not have an idea that they are being watched. Interviews are another method of collecting data mainly involves an interviewer and an interviewee. Interviews require the researcher meeting the audience or the respondent face to face at an agreed place and time so that he can conduct the interview between him (researcher) and the respondent. Questions are prepared prior to the meeting and a copy sent to the interviewee so that he can prepare well and soon enough how to answer in the questions directed to him during the session. This is another appropriate method of collecting data and it involves the researcher having to prepare a document or a list of questions which he is supposed to distribute to his respondents so that they can give their feedback in writing on the questionnaires or in answering the questions asked in those questionnaires. Questionnaires can either be open or closed. In open questionnaires, the respondent has the freedom to note down his expressions on the document provided whereas in the closed questionnaires, the respondent is restricted only to the answers provided in the questionnaires and only has the freedom to choose either one of them. One of the challenges in collecting quantitative data is that the researcher can record wrong numbers during the documentation of his research. For example, instead of recording thirty respondents, he may make a mistake and record ten respondents. The other challenge that researchers may encounter in collecting quantitative data is limited resources. Some quantitative data requires robust and expensive equipment so as to analyze the data appropriately and lack of enough resources

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