1 Secondary data analysis: an introduction All data are the consequence of one person asking questions of someone else. (Jacob 1984: 43) This chapter introduces the field of secondary data analysis. It begins by considering what it is that we mean by secondary data analysis‚ before describing the type of data that might lend itself to secondary analysis and the ways in which the approach has developed as a research tool in social and educational research. The second part of the chapter considers
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Memorandum TO: Ms. Suarez‚ CEO FROM: Emilio Curbelo DATE: April 6‚ 2015 SUBJECT: Workforce Transportation Habits Ms. Suarez‚ I’ve been working diligently collecting data about trouble that our workforce is causing in the local traffic. I have been researching our workforce transportation habits and I have two solutions to address this matter. One way to address this issue would be to encourage our employees to carpool. By our employees carpooling we could reduce the amount of vehicles
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International Journal of Innovation‚ Management and Technology‚ Vol. 2‚ No. 6‚ December 2011 GIS Based 4D Model Development for Planning and Scheduling of a Construction Project Gopal M. Naik‚ Aditya M.‚ and Suma B. Naik Abstract—Today’s demand of construction industry requires a highly accurate planning‚ scheduling and management of the process of the project which can enable the overall optimization of the cost‚ time and resources. The older system of usage of MS Project and Primavera for
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Master Thesis Electrical Engineering November 2011 Security Techniques for Protecting Data in Cloud Computing Venkata Sravan Kumar Maddineni Shivashanker Ragi School of Computing Blekinge Institute of Technology SE - 371 79 Karlskrona Sweden i This thesis is submitted to the School of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering. The thesis is equivalent to 40 weeks of full time studies.
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technique used to expedite the investigation of system requirements. ____ 16. A physical model shows what the system is required to do in great detail‚ without committing to any one technology. ____ 17. The modern structured analysis technique uses data flow diagrams (DFDs) and entity-relationship diagrams (ERDs). ____ 18. One of the
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PRINCIPLES OF DATA QUALITY Arthur D. Chapman1 Although most data gathering disciples treat error as an embarrassing issue to be expunged‚ the error inherent in [spatial] data deserves closer attention and public understanding …because error provides a critical component in judging fitness for use. (Chrisman 1991). Australian Biodiversity Information Services PO Box 7491‚ Toowoomba South‚ Qld‚ Australia email: papers.digit@gbif.org 1 © 2005‚ Global Biodiversity Information Facility Material
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Solutions Chapter 14: Aggregate Planning 2. Bob Carlton’s Golf Camp a. The peak demand is 6‚400 hours in quarter 2. As each employee can work 600 hours per quarter (480 on regular time and 120 on overtime)‚ the level workforce that covers requirements and minimizes undertime is 6‚400/600 = 10.67 or 11 employees. | | |Cost |Calculation |Amount | | | |Regular wages |($7200
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[pic] Unit Guide to Disaster Recovery Planning Executive Summary: Unit Guide to Disaster Recovery Planning The University has recognized the significance of each unit producing and maintaining Disaster Recovery Plans (also known as business continuity or contingency plans) in order to prepare and address how each unit will continue doing business in the event of a severe disruption or disaster. The Disaster Recovery Planning Team‚ coordinated by the Client Advocacy
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Week 4 Hand in assignment Project planning is intended to structure a foundation for the execution and control phase of a project. When a project is properly planned out project success usually becomes imminent (Zwikael‚ 2009). Evidently‚ the importance of planning is illustrated in the article: “Benchmarking of project planning and success in selected industries” by (Zwikael & Globerson‚ 2006) as it indicates the evaluation of project planning quality across several different industries. In
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strategic planning models‚ including goals-based‚ issues-based‚ organic‚ scenario. * Goals-based planning is perhaps the most common as it starts with a focus on the organization’s mission (and vision and/or values)‚ goals to work toward the mission‚ strategies to achieve the goals‚ and action planning. * Issues-based strategic planning often starts by examining issues facing the organization‚ strategies to address those issues‚ and action plans. * Organic strategic planning begins with
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