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Article Critique

Think critically about the research process and how to examine qualitative research. This is not a summary of the article, it is an evaluation of the research.

Select a non-required peer-reviewed journal article that reports on a qualitative research study. Analyze and critique the article addressing the: research questions, theoretical framework, data collection, analysis methods and findings/conclusions. Also include your personal reflections and commentary on the article. Your critique should reflect understandings about the purpose of the research, what they are asking, what the researcher(s) actually did (methods and methodology), what they found out, and whether that is important.
Your critique should reflect your understanding of at least the five areas listed above. You might also consider questions you have or whether there are gaps in the existing article that limit its trustworthiness. As you think about the areas listed above, consider whether there are strong ties between them, how helpful the article is, and how you see it in conversation with other research with which you are familiar. It is helpful to think about what the article might leave out, why authors may have made those decisions, and whether they address areas of high quality work as listed in the texts you have read so far for class.
Think about what paradigmatic or philosophical perspectives you see in the article and whether the research questions and design seem appropriate for the perspectives the author(s) take(s) up. As you address the theoretical framework, this might be a helpful way for you to think about critiquing and whether or not the design is strong.

Sample Solution

ter on, one of the most known methods will be discussed in a detailed way. The facial recognition methods that can be used, all have a different approach. Some are more frequently used for facial recognition algorithms than others. The use of a method also depends on the needed applications. For instance, surveillance applications may best be served by capturing face images by means of a video camera while image database investigations may require static intensity images taken by a standard camera. Some other applications, such as access to top security domains, may even necessitate the forgoing of the nonintrusive quality of face recognition by requiring the user to stand in front of a 3D scanner or an infrared sensor[15]. Consequently, there can be concluded that there can be made a division of three groups of face recognition techniques, depending on the wanted type of data results, i.e. methods that compare images, methods that look at data from video cameras and methods that deal with other sensory data, like 3D pictures or infrared imagery. All of them can be used in different ways, to prevent crime from happening or recurring. ii. How do these technologies work? As listed above, there exists a long list of methods and algorithms that can be used for facial recognition. Four of them are used frequently and are most known in the literature, i.e. Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method. But how do these facial recognition work? Because of word limitations, only one of those four facial recognition techniques, i.e The Eigenface Method, will be discussed. Hopefully this will give an general idea of how facial recognition works and can be used. One of the major difficulties of facial recognition, is that you have to cope with the fact that a person’s appearance may change, such that the two images that are being compared differentiate too much from each other. Also environmental changes in pictures, like lightning, have to be taken into account, in order to have successful facial recognition. Thus from a picture of a face, as well as from a live face, some yet more abstract visual representation must be established which can mediate recognition despite the fact that in real life the same face will hardl
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