Post #1 Critique
In looking at the first post, there are a few concerns and things that perhaps were not fully addressed. First up is whether the variables were identified. Of course, the main variable under consideration is the alarms and the scheduling/setting thereof. There are mentions of the alarms and how they figure into the research but there is not really any explicit mention of the type of variable in question when speaking of the alarms. The closest that the response comes is the response to part 2. As for whether the tool itself was covered, that was actually done quite well. This was greatly covered in the first answer and it is the first thing mentioned within the same. When it comes to whether the way the tools were described were good, that was done fairly well. There is the expected and proper talk of reliability and validity. Those are hallmarks of any good research, of course. Question three and the answer to the same does a good job of showing who did the research. Per the answer, the answers and details were collected by research assistants. One thing that was identified and that stood out is that the RA's were not trained clinically. This is a little concerning but it is wise for the initial respondent to point that out. A key part of analyzing this research response is the talk about how using RA's was actually wise versus that of
The author of this response disagrees with that and asserts that whomever is doing the data collection, whomever they are, should not assume anything and should be clinically trained. As such, the respondent is really only half right in respect to the wisdom of using RA's such as they were. The associations and conclusions that can be made from all of this would include the fact of whether the data was properly collected, whether the questions were asked in the right way, whether the RA's were trained in the right manner to keep the data pure and relevant and so forth. Using data collection tools and research are not rocket science, so to speak, but non-medical researchers doing medical research is a bit concerning to say the least (Cucolo & Perroca, 2006).
Post #2 Critique
This response does a very good job of identifying the variables. It is one of…
Data Collection, Analysis, And Measurement Elements Identify data collection, analysis, measurement elements studies. Limit box sentences attached document. 1. Accuracy reliability instruments 2. Statistical analytic methods Note. Not studies elements, element addressed. Data Collection Elements Observation method This method is used concurrently with quantitative methods but, it is said to be comparatively entailing. As a method of gathering information, it gathers more information and has a validating aspect that these other methods lack. By
This reduces response bias for better reliability of the information gathered and a higher anticipated response rate for an adequate sample size. A one month time frame gives better assurance of an appropriate response rate adequate analysis of results. Research Questions Patient wait time: How long did you wait before being register? < 5 min, 5 min, 10 min, longer How long did you wait to be called after being registered? <
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446). Again, since data collection methods are relevant to specific research studies based on their questions, hypotheses, and literature reviews, this funneling of "phenomena of interest" should ideally suit most research studies -- so long as the those methods are tailored to meet a particular study. When researchers have narrowed down certain characteristics or behaviors that they are looking to observe in their study, they can do with a
By assigning the numerical value to all data, researcher is able to present data in tables, graph and chart to assist the presentation of the research findings. In addition, the data presented are used to compare the performances of the experimental group and control group. The graph, chart, and table are also used to make comparison of the two groups. Curricular Innovation Development The findings of the research seek to improve
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