Quantitative research methods in educational planning Series editor: Kenneth N.Ross Module John Izard 7 Trial testing and item analysis in test construction UNESCO International Institute for Educational Planning Quantitative research methods in educational planning These modules were prepared by IIEP staff and consultants to be used in training workshops presented for the National Research Coordinators who are responsible for the educational policy research programme conducted
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Skills Summery Data Analysis, Oracle E-Business Suite, Oracle Forms and Reports, Design and Web Tools, Sencha Touch, Mobile Technologies, Business Rule Management System Professional Experience Company name Senior Analyst Gurgaon August 2010 – April 2012 * Performed job benchmarking, data analytics, auditing & reporting of compensation & benefits data for clients * Subject Matter Expert
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focus more on an alytics and data management standpoint (Laudon, 2014) The Zoo used infrastructure for collecting, storing, and analyzing data produced by business databases, data warehouses, and data markets. By using the partnership of IBM and BrightStar Partners, IBM Cognos Business Intelligence provided real-time analytics and reporting (Laudon, 2014). Through the business intelligence programs, Cincinnati Zoo benefits for a higher profit by sending weather forecast data to the intelligence system
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enables the organizations to operate more efficiently, discover new insights fast, predict the business atmosphere quickly and help executive managers to make better decisions. There is no doubt that the created value is increasing through the big data and business analyst. However, to answer the question “does increasing analytical capabilities change the business radically or just in a manner of incremental improvement”, divergent views have been held by as regards the academic researchers, and
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well-established previous theories. 9.1 Research Process According to the onion model of Saunders et al (2009), a good research should generally consist of valid and justified research philosophy, research approach, research strategy, research design and data
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5.2. Data collection Data collection involves the collection of data by using different methods of data-collecting tools. There are two methods for collecting data in scientific research: primary data collection method and secondary data collection. Primary data are sets of data researchers collect from participants and secondary data are sets of data researchers collect from literatures, document from precedent researches and using internet. Primary data collection for quantitative studies consists
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Methodology In my thesis I utilized the quantitative content analysis method. There are many definitions of this research method from different authors. Most of the definitions include similar principles. The research should be systematical, objective, quantitative and replicable. Daniel Riff introduced in his book the major definition and compiled their aspects into his own. He says: “Quantitative content analysis is the systematic and replicable examination of symbols of communication, which
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Research Proposal Modernizing a data warehouse for business advantage Introduction Ten years ago, Data Warehousing was largely unknown. Today most organizations relay on effective warehousing concepts to analyse data in efforts to predict future trends and assist in decision making. In this increasingly competitive business environment Data Warehousing is one of the most important developments in recent Information Systems. There is a large need to acquire data, anywhere at any time, thus there
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amounts of information and data. Initially, with the emergence of computers and the means for mass digital storage, we started collecting and saving all sorts of data, counting on the power of computers to help sort through this mix of information. Unfortunately, these huge collections of data stored on structures that are not similar, very quickly became too much. The production of data is expanding at an incredible rate. Expert now point to a 4300% increase in annual data generation by 2020. In 2007
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INTRODUCTION Big data is described as complex data collections that has very large size beyond the capability of traditional tools to capture, manage and process it efficiently. It is also use in many ways where it usually refers to both of data that being managed and used to store and process it by the technology which it helps to deduce different types of results using the same data that being stored intentionally or unintentionally. There are three characteristics of big data which are volume
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