A critical appraisal of two articles using the appropriate CASP guidelines

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critical appraisal of two articles using the appropriate CASP guidelines”:

CASP (Critical Appraisal Skills programme 2010) is a tool for one to criticize research paper. The questions provided, make one think and consider whether a research study is convincing and trustworthy. In the following, CASP will be used to criticize 1 quantitative research and 1 qualitative research.

Paper 1

For quantitative research, Experiences of sub-fertility among Chinese couples in Hong Kong: a qualitative study (Loke, A, Yu P, Hayter M (2011) would be used.

1. Was there a clear statement of aims of the research?
Yes, the aim is clearly stated in the essay, “This study aimed to explore the lived experience of sub-fertility
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& Breuer, F. [2003]) , since there is none further explanation on the relationship of the participants and the researcher, which means some of the participants may be direct friends of the research which may cause some bias based on the experience they had. For example, if one pair of the participants are an old friend of the researcher, this pair may not willing to open their private issue to this old friend, still, they would like to help for the research, or on the other hand, the researcher may have a subjective opinion based on his perception to this pair old friends, as a result, the result may have false based on 2 way. 1. Hidden information from interviewee to interviewer or 2. Misinterpret the conversation on the interview by the researcher. The research has not enough consideration and explanation.
7. Have ethical issues been taken into considerations?
Yes, the researcher has got the ethical approval from the Hong Kong Polytechnic University’s ethical committees before the study. The participants were explained fully and the interviews are recorded. Confidentiality is also guaranteed. The participants can also leave the research whenever they want, so they are not forced to be interviewed, giving false answers.
8. Was the data analysis sufficiently rigorous?
The method of data analysis is clear, with deep explanation of colazzis approach. However, there are 3 points that making the
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