Get aware of various scholarships for Industrial Engineering students

Get aware of various scholarships for Industrial Engineering students Engineering Scholarships for Everyone Industrial Engineering is a challenging, complicated and practical field of studying. If you decide to choose Industrial Engineering, then you should understand that you are to specialize in designing, analyzing and managing production systems, the procedure of creation, including budgeting, human recourses and technology. If you are in this sphere then you should also learn deeply math and extensive science, as they are the basis for successful engineering ideas realization. The main aim of studying is not only to provide students with necessary knowledge but also to prepare them to be involved in the manufacturing and industry on all positions. Nowadays there exists a great demand for skilled technicians and directors who will manage the industrial engineering process in the proper way. Fortunately, there are lots of scholarships which are offered by colleges, professional companies which are encouraging and supporting young specialists in the sphere of engineering. College scholarships in the USA Almost each school which has the department of industrial engineering will offer its students various scholarships. Here are some of them. University of Washington College of Engineering The Ron Crockett Scholarship Fund is a great chance for those who want to connect their life with industrial engineering in the Washington University. The awards provides the most outstanding and talented students with tuition discounts. If you want to be among them, you should be really wise and ambitious and apply till April 1. Texas Tech University College of Engineering Students of industrial engineering are generously awarded with scholarships. Everything depends on your own features, achievements and personal criteria which are checked during the admission process. So you are welcome to apply as soon as possible to check which funding package you may receive. Virginia Tech College of Engineering This college is a home for dozens of scholarships for the most talented and skilled students. The majority of awards go to freshman, still transfer students are also given some scholarships. The process of getting an award is quite easy: you send your application, then it`s transferred to the Department of Industrial Engineering, they check your studying success and their need. So if you struggle to reach something bigger then you are welcome. Scholarships from private organizations in the US There is also a variety of independent organizations which provide students with such scholarships. Check out some of them! Institute of Industrial Engineers This scholarship is available for student members only. It`s created for those who are to continue their work in the field of engineering and reach success. Only those students are encouraged with this scholarship, the main features of which are the following: Undergraduate students with GPA score of at least 3.4 may apply for this scholarship; You can receive up to $4,000 per year, still if you are ambitious and show leader skills then you get preference; A.O. Putnam Memorial Scholarship is offered to industrial engineering students who study anywhere in the USA. Students are chosen on the basis of academic achievements and financial needs, the award is $600; Marcus Scholarship offers $1000 for those who are talented and shows the interest in the future development of engineering. ASCO Numatics This scholarship is sponsored by the Emerson Company, which is in the leads for the century. Students who are interested and successful in the research work and future career in the industrial engineering get $5000 award and there are also a few grants for $1000. Such skills as leadership and knowledge, future plans, past contributions into the development of engineering are taken into account while choosing the winners. If you are doing really good, then you may get an invitation of an internship with the company. Set your plans and try to implement them into life. Before choosing a university check the scholarships they offer, as they can be both your financial aid and a good chance to develop your skills. These programs will make you more self-confident, you will probably work harder. Everything is possible till you want it.

Secondary Data and Secondary Analysis - An Overview

Secondary Data and Secondary Analysis - An Overview Within sociology, many researchers collect new data for analytic purposes, but many others rely on secondary data- data collected by somebody else- in order to conduct a new study. When a research uses secondary data, the kind of research they perform on it is called secondary analysis. Key Takeaways: Secondary Data Secondary analysis is a research method which involves analyzing data collected by someone else.A great deal of secondary  data resources and data sets are  available for sociological research, many of which are public and easily accessible.  There are both pros and cons to using secondary data.Researchers can mitigate the cons of using secondary data by learning about the methods used to collect and clean the data in the first place, and by careful usage of it and honest reporting on it. What Is Secondary Analysis? Secondary analysis is the practice of using secondary data in research. As a research method, it saves both time and money and avoids unnecessary duplication of research effort. Secondary analysis is usually contrasted with primary analysis, which is the analysis of primary data independently collected by a researcher. How Do Researchers Obtain Secondary Data? Unlike primary data, which is collected by a researcher herself in order to fulfill a particular research objective, secondary data is data that was collected by other researchers who likely had different research objectives. Sometimes researchers or research organizations share their data with other researchers in order to ensure that its usefulness is maximized. In addition, many government bodies within the U.S. and around the world collect data that they make available for secondary analysis. In many cases, this data is available to the general public, but in some cases, it is only available to approved users. Secondary data can be both quantitative and qualitative in form.  Secondary quantitative data is often available from official government sources and trusted research organizations. In the U.S., the U.S. Census, the General Social Survey, and the American Community Survey are some of the most commonly used secondary data sets within the social sciences. In addition, many researchers make use of data collected and distributed by agencies including the Bureau of Justice Statistics, the Environmental Protection Agency, the Department of Education, and the U.S. Bureau of Labor Statistics, among many others at federal, state, and local levels. While this information was collected for a wide range of purposes including budget development, policy planning, and city planning, among others, it can also be used as a tool for sociological research. By reviewing and analyzing numerical data, sociologists can often uncover unnoticed patterns of human behavior and large-scale trends within society. Secondary qualitative data is usually found in the form of social artifacts, like newspapers, blogs, diaries, letters, and emails, among other things. Such data is a rich source of information about individuals in society and can provide a great deal of context and detail to sociological analysis. This form of secondary analysis is also called content analysis. Why Conduct Secondary Analysis? Secondary data represents a vast resource to sociologists. It is easy to come by and often free to use. It can include information about very large populations that would be expensive and difficult to obtain otherwise. Additionally, secondary data is available from time periods other than the present day. It is literally impossible to conduct primary research about events, attitudes, styles, or norms that are no longer present in todays world. There are certain disadvantages to secondary data. In some cases, it may be outdated, biased, or improperly obtained. But a trained sociologist should be able to identify and work around or correct for such issues. Validating Secondary Data Before Using It To conduct meaningful secondary analysis, researchers must spend significant time reading and learning about the origins of the data sets. Through careful reading and vetting, researchers can determine: The purpose for which the material was collected or createdThe specific methods used to collect itThe population studied and the validity of the sample capturedThe credentials and credibility of the collector or creatorThe limits of the data set (what information was not requested, collected, or presented)The historic and/or political circumstances surrounding the creation or collection of the material In addition, before using secondary data, a researcher must consider how the data are coded or categorized and how this might influence the outcomes of a secondary data analysis. She should also consider whether the data must be adapted or adjusted in some way prior to her conducting her own analysis. Qualitative data is usually created under known circumstances by named individuals for a particular purpose. This makes it relatively easy to analyze the data with an understanding of biases, gaps, social context,  and other issues. Quantitative data, however, may require more critical analysis. It is not always clear how data was collected, why certain types of data were collected while others were not, or whether any bias was involved in the creation of tools used to collect the data. Polls, questionnaires, and interviews can all be designed to result in pre-determined outcomes. When dealing with biased data, it is absolutely critical that the researcher is aware of the bias, its purpose, and its extent. However, biased data can still be extremely useful, as long as the researchers carefully consider the potential effects of the bias. Updated by Nicki Lisa Cole, Ph.D.