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Construct and internal validity
The purpose of conducting any research is to come up with better understanding of the issues that eventually aid in leveraging decision making processes. The author in this study formulated a research study aimed at achieving high levels of reliability and validity. Every measure in this study was assessed using a different model unlike other studies which usually employ few models or methods to measure different variables.
The results were further correlated in order to test the study hypothesis (Yee et al., 2002). For instance, while computer times were assessed using approximations, parallel coding system and data cycle, it is worth to mention that average expected delays as well as N and K disjoint subsets were evaluated using optimal allocation and redesigning (Yee et al., 2002).
This model captured the complexity of different variables in the study and therefore made the results to be highly valid.
Results analyses were further carried out using mean values and standard deviation of the available data. These two methods of analyses facilitated assessment of hypothesis in the study. These methods are effective in the sense that they provide effective comparison of different variables. As a result, the study results are made highly reliable (Yee et al., 2002).
Sampling method
The use of sampling is indeed very appropriate for any research study. The current study does not have a particular sampling method. It is important to note the analysis employs a basic sampling approach whereby results are representative of the general expectation of data in terms of dissemination and broadcast scheduling.
Use of statistics
From the large number of measures evaluated during the study, the results were highly comprehensive and therefore captured most of the study aspects on broadcasting leading to a viable technique. Though the article does not indicate why there was a slight difference in the number of statistics obtained from the study sample, it presents an effective balance and assists in the comprehension of the final outcomes (Yee et al., 2002).
Confounding variables
Although the data in the study should be summarized according to the different variables being studied, this particular research lacks variable and as such does not have confounding variables.
Threats to conclusion and validity
Consistency is important in any research work because it is as indicator of professionalism. While the evaluation of key issues within a study is critical, it is a great failure when errors of type I or II occur.
This creates great discontinuity in the readers’ mind because they cannot confirm particular information presented in the study. Just like the general flow of the article provides a clear sense of completeness, the study has a hypothesis based on optimizing positional data to enhance the effectiveness of broadcast servers (Yee et al., 2002).
In summary, as one reads through this article, there is easy flow of ideas that simplify understanding of the process and results presented. The abstract section prepares the reader’s mind by effectively giving the setting of the study. For instance, it establishes the hypothesis that presents the niche for the study.
Moreover, effective flow depicted during the study captures the mind and therefore becomes part of the entire process. As one moves from results to discussion and conclusions, it becomes evident that in order to minimize the broadcasting average, minimum time is necessary for effective broadcasting.
Reference
Yee, W. G., Navathe, S. B., Omiecinski, E. & Jermaine, C. (2002). Efficient data allocation over multi-channels at broadcast servers. IEEE Transactions on Computers 51(10), 1231-1237.
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