Project study Case Example | Topics and Well Written Essays - 1500 words

Project - Case Study Example Plagiarism is an illegal, punishable act that constitutes fines between $100 and $50000, one year imprisonment, or both (â€Å"Plagiarism FAQs†). If a writer copies even one sentence from another piece of work, it falls under the category of plagiarism. On the other hand, originality refers to one’s own words, ideas, thoughts, and expressions. In order to avoid plagiarism, the writer must be vigilant to change the 5 W’s and H (who, what, where, when, why, and how), but most significantly the writer must use his own words. In total, Plagiarism is illegal and immoral while originality is legal and moral. 2. Process of research question development Choosing an appropriate topic/issue is the first phase in developing a research question as it gives a ‘specific focus’ for the writing (â€Å"The relationship between†). The major topic may be subdivided into smaller pieces but the writer must stick to one major issue per research paper so as to have a coherent piece of work. While breaking down the major topic into its components, a series of questions may be listed. Once the listing of questions is completed, the researcher must review the listed questions in order to select the most appropriate one that is â€Å"neither too broad nor too narrow† (Bryman & Bell, 87). ... Difference between description and analysis As Egger and Carpi point out, the term description can be defined as a detailed presentation of certain aspects, features, or characteristics of a subject matter, something experienced, seen, heard, or known; in contrast, analysis refers to the interpretation of the described information and it includes lots of lists, data, and graphs (â€Å"research methods†). The difference between description and analysis is similar as that of data vs. information. For instance, an organization may compile ranges of data (description), but this description is of no use unless it is interpreted in a meaningful context (analysis). The reader gets lots of facts and data while going through the description part, but he would not understand why it is important and how it should be applied unless an effective analysis of the data is given. Therefore, description is only the factual representation whereas analysis makes this representation meaningful. 4. Data selection criteria Data selection is an important and complex process that determines â€Å"the appropriate data type and source as well as suitable methods† to gather data (â€Å"The Ohio State University†). The process of data selection is entirely different from selective data supporting and interactive data selection. The method of data selection would be often discipline-specific and is determined by the nature of research, existing academic literature, and accessibility to relevant data sources. While choosing data, first priority must be given on ability of data for effectively answering the research questions rather than cost and convenience of data accessibility. Similarly, researcher must be aware of fixing proper procedures in order for getting a representative sample while

Data Analysis using two way repeated measure ANOVA Statistics Project

Data Analysis using two way repeated measure ANOVA - Statistics Project Example h course abroad, the second group enrolled themselves in a short course and the third group comprises of students who are the alumni of the American University and have completed the IEP requirements. The methodology of the test is that, all the participants irrespective of the group which they belong to, are subjected to two sets of observations – the first, before they received an English education and the second, after they received one. After the required data is collected, comparisons are made between the differences in the levels of omissions for all the students irrespective of their education. 1. H01: There is a significant difference in the levels of omission between the class of students who never enrolled themselves in any English course with the class of students who have completed a short course in English. 2. H02: There is a significant difference in the levels of omission between the class of students who have completed a short course in English with the class of students who have completed the IEP requirements. Before any lessons on English education was imparted, the people who received no English education from abroad are found to make an average of 15 mistakes against 20 mistakes of those who have received a short education from abroad. However, the standard deviation is found to be very high for the latter implying that the number of mistakes is heterogeneous among the population. On the other hand, after both the classes received English education, the numbers of mistakes were significantly reduced for both the classes. However, it was found to be lower for the second group than the first; even the standard deviation measures were lower for the second group as well implying that there was a considerable and uniform improvement in knowledge among the latter group. The descriptive statistics table in support of the above statements has been presented as under – To test the aforesaid hypothesis (H01), the relevant statistic is the