Importance of Language for Dissertations

Language plays an important role in any dissertations and the only thing that matters is the criteria set by the universities. While some universities follow British English some universities might follow American English. Students often get confused on using the formats of English language as they come from different regions of the world. Every university lays down its own set of criteria for preparing a dissertation. But as students from different regions study at various places, the problem of language arises here. Students might not be easily get the work done especially if they from one region and writing their report in another regions format. In order to overcome these problem students has to approach a proofreader and an editor who can help them in clarifying things and make it easy to prepare a report in the prescribed format by the university. An editor and proofreader with experience on local language format can help the students. First students need to put down their ideas in the format which ever they feel comfortable and later get it proofread by an expert or a professionally. Instead of spending time on language students must concentrate on the big idea and make the picture clear. The next important task of editing and proofreading will take care of the preferred language. Although the two languages are similar there can be small or minor differences which can be spotted by experts. Alternatives, students can also set their preferences on the word documents or even use some simple software tools to overcome this problem. However approaching an editor cum proof reader is always recommended. With so many numerous formats of languages it is always better to stick to the guidelines and take the help of experienced people rather than blindly going...

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What is the Role of Dummy Variables?

Primary aim of any research is to find out the possible associations among a group of variables, which are generally found by observing any phenomenon in socio-economic or industrial setting. Subsequent to formulation of a mathematical model, which can apparently describe the phenomenon in the most realistic way, it is required to test the model using real world data, which will correspond to the variables being used in that model. However, it is not always possible for a researcher to collect all the data in quantitative or measurable form, and in order to get past that issue, the variables can be redefined in terms of measurement. Suppose, a researcher wants to evaluate a particular economic policy in a particular context and that policy is so multidimensional, that it is influencing a huge number of economic and social factors, most of which are in a non-measurable form. Moreover, it is not always possible and feasible to capture all of those variables in the boundary of a single study. In those kinds of situations, usage of dummy variables turns out to be handy. In case of any economic pre and post analysis, dummy variable is the one, usage of which is almost irreplaceable. For example, a researcher has a dataset for seventy years, and during that period, a particular economic policy has been implemented. Now, in order to capture the effect of that particular policy, the dummy variable can be used. If the policy has been implemented in the 52nd year, then the value of the dummy variable will be zero for first fifty one samples, and one for the rest of the period. After estimation, by plugging the value as either zero or one, the effect of the policy on the other model variables can be captured very easily. To know more about the different aspects of using a dummy variable in any mathematical model, kindly browse through the pages of...

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Steps to conduct Causality Analysis

Analysis of interplay of economic factors in any economic system is always of the interest of the economic analysts across the world, and across several domains of economics. One of the major analytical tools in analysis of this particular kind of economic aspect is the causality analysis. This is one of the complex analytical tools being used in economic analysis, and it involves a series of sequential steps. First, in order to carry out a causality analysis, it is needed that the variables under consideration are stationary in nature, and most of the variables used for economic analysis are flow variables in nature. By conducting unit root test, stationary of the variables are ensured. Second, if the variables under consideration are not associated on a long run basis, then the causality analysis can never prove out to be significant. Therefore, in order to investigate about the long run association among the variables, co-integration test is conducted on them and based on the Trace and maximum Eigenvalue statistics number of co-integrating vectors among the variables is calculated. Presence of at least one co-integrating vector ensures the presence of long run association among variables. Third, once the long run association among variables is finalized, as a final step it is needed to find out the directions of possible causal associations. This step is carried out by applying vector error correction methodology, and by formation of vector autoregressive equations involving the variables under consideration. If the error correction term in any equation is significant, then long run causal association exists from the independent variables to dependent variables. If the individual coefficients of independent variables are significant, then short run causal associations exist from those variables to the dependent variable. This is the summary of causality analysis tool in economic and econometric analysis. For more information about conducting a causality analysis, kindly browse through the pages of...

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The importance of the testimonials section

“It is very important for students to make a contribution to the testimonials section of an academic support website. It is vital to remember that many more students would be looking to use the services of this company. They will read the testimonials section to see how good or bad the company is. If former students have had a good experience with the company then their testimonials could pave the way for other students to use their services and move ahead in their academic lives. That is why a brief comment in the testimonials section is so...

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Guidelines for high scoring UK Dissertations

Getting high grades in college is tough; all the more so when you are doing a course from a college in UK. The standards for research assignments are high in UK and the grades are stringent. Few students are able to pass the course in the first attempt. However, your difficulties can be reduced by following these tips: Get to know the guidelines prescribed by the college for authors. When you know them clearly, only then you will be able to follow them. Select your research guide with care. Choose someone who is interested in your project and will be able to devote time for mentoring. Try to learn the academic language and style that is acceptable in UK colleges. If you are a non-native student, this is going to be a challenge for you. Learn about the statistical software that you need to use. All research work will involve some degree of statistical analysis. Accurately applying the tests will enhance your chances of getting high scores. Be original and stay away from plagiarism at all cost. If there are any traces of duplicated content in your project, your work will be not even considered for marking. Write an original dissertation. If you are careful enough at all steps, like choosing the topic and identifying the resources, you will be able to score well. For any assistance, at any stage of research, we are there to help you. So do not hesitate in sending us your...

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