Data Generation Qualitative Methods and Inclusive Education - Essay Example

In this world, when things are computerized and technologies are getting more and more common in daily lives; production and marketing are getting a hard-hitting competition. Every one around in the market wants to earn more, get the fame and though often introduce new products using latest technologies. One of the famous techniques now a day for handling business is e-commerce. Electronic commerce is handling of different business transactions on Internet called World Wide Web (Web). General business transactions like selling, buying, & data transferring made on Internet provides profitable Revenue to business. Running business is not only keeping organization's website on Internet and driving it simply; It has a full modus operandi that shows the business to consumer; compel them to make business to that organization, upgrading the site as required, etc. Compelling and attracting business is now a day is not a difficult job when people sitting at home can visit the outlet and view the new arriving products. All what attractive for the customer is the layout of the website they are viewing. In the era of Internet technology, many business websites are developed at an expense. People consults the software engineers and spends thousands of money to develop one upon one latest websites and put in the best attractive text. But now as technology is advancing day-by-day and letting people stay in comfort these all development is getting more progressing. Few days back, database designing is extreme difficult; but now software engineers provided number of templates to use them. Similarly, websites like www.godaddy.com, www.webspawner.com, www.homestead.com, etc. allows the businessman to create their own websites in few minutes by answering few questions and selecting few things in fewer amounts. Though creation of website left no difficult now a days. On other hand, part of business software are also available on compact discs and can be mould with respect to the business requirements by few selections and answering few questions. The engineers can only prepare Different big organizational software that controls and manages all sections and departments of business but are much costly. Though usage of software are easy to go with for the public. Difficulties for software engineers and though grows up as business man just know what they are doing manually and want in the software or website. But Software engineers know hoe to do the things. They go and analyze the structure by themselves ask number of questions but get the answers of less than fifty percent of them. This analyzing is then move forward for the process of development. The nice structure and outlook of the software is required for later upgrading or maintenance and though the developers design them efficiently. Few years back, making the front end can only be possible by writing codes for each and every agent of the graphical interface. But today numbers of Integrated Development Environment (IDE) are being established. IDEs like Netbeans, Jbuilder, Eclipse, etc. all supports the designing of the front-end interfaces by dragging the components through mouse and placing them in appropriate place. All the component related coding for its look and feel as well as it's handling of different events are generated automatically. This helps the designer to just code the business logic and makes the development of years in few days. The process forwards to the Quality Assurance people where they test the software. For testing a lot data is required to verify different operations and a data entry person, the developers or the quality assurance engineers themselves do this manually. As Information Technology is opening the way to step forward in every field, similarly it's opening a way to data generation. Data that can be generated itself in database tables so that it can be easy and helpful for the developers and engineers to test the software on its way of development. All through the life cycle of software, Data generation is done on any process. For development, code generation while fixing up the components n the interface is a name of data generation. Using different frameworks, which might generates the coding for the persistent layer is also a part of data generation. Persistent layer coding is the logics that are used to interact or querying the software with the database. Generating the data in tables of the relational database by using tools and technologies for the testing purpose automatically is counted as the data generation. On few different websites data generation may named to the generation of data on the bases of few queries from the client. Free website designers also add up their websites under the specification of data generation. Many data generation software and tools are developed and is used as part of the software. Few programming languages provide the console command that generates the whole software manual on one click. A small number of software like GS Generator generates the data for the Quality Assurance department to make their stress testing, load testing, system usability, integration and analysis easier. SQL server, besides being specialized software for databases supports the data generation in tables according to their column size and data type for testing purpose. Some of the technical developed languages make the data generators to generate errors and log them in a manner to be used latter self within the software. In Java with the help of one command at java console with respect to the path where software classes are placed an easy to use documentation can be generated. Besides the technical field of information, the field of architects, weather forecasters and other decision-making systems mostly use data generators. These architects give the data generator few calculated values to generate graphs or it may be vice versa, i.e., few graphs are given to calculate the values and generate the data for it. Weather forecasters use them to generate the data for the future by inputting the history of weather and other information. Similarly, data is generated for the managers in form of reports to take decisions upon. Though, in the field of information technology, data generation is mostly use to generate data for the testing purposes and other field may counted be in decision making by the researchers, which can be manual or automated. Data generation is not only the means but the quality matters too. If we consider about the social world around, data can be generated through experiences and it may also be generated from the people around. Making a research on what problems exists to household wives may be easy for sociologist and can make many stories and problems by own experience but if talking about the quality the data must be generated from the real life. To generate data for this purpose wives of America may be selected for the research and wives of indo-pak may be the part. Though, the research can be made with respect to the areas but which area is qualitative is difficult to know and though the very best quality is difficult to attain. Qualitative Data Generation for Research No doubt best-qualified research will only be considered if the data collected and generated is better in quality. The experience, the understanding and the production of the queries upon the topic enhance the quality, which primarily stands on different methods of data generation. This quality of the queries for the topic may help the research to generate data according to different methods and make it flexible to understand and analyze the complexities and details of context. It can be said that qualitative research depends on the researcher view. How the understanding is made What is the goal and by which methodologies those goals are achieved Who are the concerns that can help to collect and generate require data How to approach those concerns What may be research loom How to analyze that data with respect to the particular goal The specifications of the data sources must be standardized. What may be the reporting style In How many different ways different data can be represented These all questions may answer to get reach a qualitative research. Moreover researcher must judge all the scenarios and situations as a unbias person. Researcher must be clear of the goal and his approach for the data generation. He must know the reason of his own interest in the problem and how much the researcher gives it the importance. Researcher must make himself and his research secure and legal so that it won't go waste at the end. There may be countless acts to collect and generate data from which few mainly researcher may take care as: Researcher must observer the problem, as he himself is part of it. This may give him experience but on other hand may make him bias at time of judgment. Researcher must not show or let the samples know that they are being observed. This may make samples to react artificially, which affects the analysis report at the end. However telling them the true reason may makes your work easier to interact. Researcher may interview the samples face to face or on phones, which can give a self-observation from the face reactions and voice about the true facts where as at the same time sample may artificially react because of the settled environment around. Researcher may capture the research on videos and snapshots. This may help the researcher as evidence but at someplace it can't be helpful as at few places it can't be accessible. For the quality data generation on any research few things like selecting the area or in other words the boundaries from where the data should be collected What data should be collected and how the data should be saved for further analysis How that information will be proceeding to the audience Should be considered in priority. Selecting the boundaries may include the area where the research takes place Who are the people and what are the events. Besides, situations in which the person is being taken as a sample. How to collect data Can be answered in a way that what kind of queries will be made The queries can be structured and unstructured. The queries can be open ended and direct questions. They can be questions with prescribed answers to be chosen. What to be presented to the audiences includes, which particular questions are showed off that makes the research feels healthy. Reports and researches may be documented visually as well as printed. Data analysis is another important factor research relies on. For making a qualitative research, the analysis being done simultaneously with the data collection. This simultaneous analysis involves the researcher along with the research taking his more time, priorities and importance for its activities. For qualitative research work, research collects a lot of data and then filters it to a part that gives the exact and accurate information to get near to his goal. Researcher for his qualitative production analyze for the goal in different ways and separates all interviews, documentations, visual plays giving them codes. Though this organized way of research makes the researcher reach his goal sooner and accurately with a lot of data around him. The validity of the research may be verified by studying different printings and the views of the samples he was working with for the data generation. Research upon Inclusive Education The inclusive education now a day is the dream of every literate human being, which is a difficult job. I made a research to examine what educational professionals think about the inclusive educations. I selected few educational institute of high secondary education and interview the principle and other teachers. Besides presenting a questionnaire to them I asked few question to view their face reactions. I really want to know what teachers perception about the education for different categories of student are and what they think about themselves. How much they are interested and how they can suggest improving or implementing the methods that education can completely groom the person. My questionnaire was composed of few multiple choices, few open ended and few close ended questions. I left the introductory space on the questionnaire and asked for the age, gender, martial status, and designation from every teacher I collected data from. While making the research I kept the situation in mind as people in saying things in front of audience are different then the people saying things all alone. Saying the stuff between the strangers or all alone is equivalent however the words saying among the known people are true and honest. Though I caught the teachers to give my questionnaire and interview some time while they are in class teaching their pupils. Questionnaire is a paper, which asks the information from the interviewee about a particular stuff to achieve an analysis report on it. My questionnaire for perception and views of educational seniors on inclusive education includes: How much you earn a month Is education in your city satisfies you If not, what are the reasons What are the course charges in your institute Why education is so expensive What may be the least educational status a literate may have Why people leave their country to get education from other countries Who are the pupils you think should get higher education by going abroad Why pupils are not interested to study further How a pupil can take interest in education What are the factors a student face in your view to get educated How the walls for receiving education can be destroyed How the pupils can literate in fewer prices How every country can give a standard to high education What may the effective methods to be taken to implement the inclusive education Besides these questions many other questions were placed on the questionnaire. Some face-to-face questions were asked to study the face expressions like; What you think about your self to immense the inclusive education on yourself I took the following sample to generate a unbiased data: 6 principles from which 3 are male and 3 are female 6 senior rich teachers, 3 males and 3 females 6 middle class teachers including 3 male genders and 3 female genders I take care that half of the teachers are married and unmarried. As it matters to analyze the result because different situations may make you think differently. I made the questionnaire to make teachers and principle comfortably answer me the information I want and chose open mostly open ended questions to have the clear idea of their thoughts. I reached these institutes with the help of a research request signed by my institute's principle and collected all the data legally and securely reached back home. As I am also once a student of psychology so I kept the thoughts to analyze the views according to mental levels and observe psychologically. Selecting the samples from different categories helped me to know the thoughts of different categorical people working in the same standards. Asking few interview questions helped me to read their face expressions and count whatever they are saying from heart or artificial words are overcoming their actual feelings. For instance, I interviewed an unmarried male teacher who was one of the excellent ones and got to know that he is the intelligent teacher of that institute. He told me that he don't wills to go abroad for higher studies and these were the words contradict his face expressions. This instance made me consider his questionnaire exclusively. And though the study made me acknowledge that his income is 50,000, and he is the only member to earn in the family. The family of old parents and two young sisters who are yet to be married and a young brother still studying. This really affected my research that he wills to study but his family situations don't allows him. Similarly, one other married female from a mediocre family sample told me that she is keen to study and however her husband don't allows her but still she is working hard to fulfill her responsibilities as a teacher, a daughter, a wife, a daughter-in-law and a mother. And at her free time in the institute and at home she tries to gain education from Internet. Now this was a courageous reply I received which made pupils in the class encouraging. Most of the samples suggested to lessen the price of education and allow more and more scholarships from the government to study free and go abroad to learn more and become the researchers and scientists. I organize my questionnaire and comments to each sample and made some graphical charts to represent my results in percentages. I reported all replies collectively in front of the audience in form an interesting presentation that don't make audience loose their interest in my goal. It was an interesting task. As every interesting task has ups and downs similarly as easy it was much as was difficult. Difficulties I face the major was to make a questionnaire from which data can be generated more by asking less. Then interrupting the teachers while they are teaching serious lectures to create the same situations for every sample and record the environment of classrooms. It was being notified that teachers who really respect education and are well being keeps their class in discipline else the pupils are very naughty to enjoy the interrupted time fully. The enjoyable time was to interview teachers by disguising me as a representative of a research team whose responsibility is to make questionnaire filled in front of them. It was good to meet every senior in an ethical manner by taking permissions from the institute coordinator. It was one nice experience when a guard of an institute didn't let me in and expressed himself in an ill-mannered way. It was difficult for me to handle and though I went back and ask my principle to give me the permission letter so that I can complete my research legally and ethically. Data generation is not a difficult task while making a research but for a qualitative data generation take care of above mention tips. Researcher should keep himself unbiased while observing the samples. Samples should be taken from every category in an equal amount to test upon. For a qualitative result, quality of data should be gathered and observed thoroughly with proves and explanations. Bibliography 1. B. Korel (August 1990). Automated Test Data Generation - IEEE Transaction on Software Engineering. Vol. 16 No. 8. 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Data Generation - Common Maths. Available from: http://commons.apache.org/math/userguide/random.html Accessed on: 12th January 2008 12. William H. Duquette (n.d.). Data Definition and Code Generation in TCL. Available from: http://www.tcl.tk/community/tcl2004/Tcl2003papers/duquette.pdf Accessed on: 12th January 2008 Read More