PPT-Focus On… “ Data Collection Choices

Presented by Tom Chapel This Module Why and how of Developing indicators Making good data collection choices Using mixed methods effectively Ensure use and share lessons learned Gather credible evidence. 13 July 2008 brPage 2br 2 Evaluation Briefs Evaluation Briefs No 13 How do you conduct a focus group esources For further information or assi stance contact the Evaluation Research Team at ertcdcgov You can also contact us via our website httpwwwc Rajesh Yadav, ICAS. CA, CS & PGPPM from IIM Bangalore. Deputy Commissioner (Finance). The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and re-learn.- Alvin Toffler. School Students with Disability. 2014 Regional Workshop. 2014 Workshop Overview. Background and Purpose. The Data Collection Model. Preparing . for the Data Collection. Step 1 – Identifying students and obtaining consent. in . Relationships. :. An . Introduction. Outlined. . from. :. David . Knox. & Caroline . Schacht. . (2010). . Choices in Relationships. -. An Introduction to Marriage and the Family. . . Chapter. Robbyn JF . Abbitt. GIS Coordinator. Dept. of Geography, Miami University. 2015 Ohio GIS Conference. September 21 - 23, 2015 | Hyatt Regency Columbus| Columbus, Ohio. Data Collection Timeline. 2000-2005. Overview. Introduction. Primary data capture. Secondary data capture. Data transfer. Capturing attribute data. Managing a data capture project. Data Collection. One of most expensive GIS activities. Many diverse sources. Superior Children’s Centre – Satellite Meeting. October 15. th. , 2015. Why bother?. Need to report to the Ministry. Good data can answer questions:. Confirm . problems or issues. Change . how we deliver programs, allocate resources, and decide what programs we offer. Supporting . Defendable Cost . Estimates. Arlene Minkiewicz, Chief Scientist. PRICE Systems, LLC. arlene.minkiewicz@pricesystems.com. Agenda. Introduction. Historical Prospective on Cost Estimation. Data Driven Estimation and its Importance in the current economic client. Cluster Analysis. :. Analyzing data. K-means clustering. Fill in the “observations/variables table” with your data. Lower right, enter the #classes; i.e., insert what you want “k” to be (the #clusters).. Strategies. Forrest . Link . Yuji . Tosaka. Cathy Weng . VALE Annual Users’ Conference . January 4, 2013. Rutgers University. 1. Presenters. Forrest Link. Acquisitions Librarian. The College of New Jersey. November 12, . 2013. presented by the. Office of Educational Information Management. Agenda. Purpose of the collection. Data elements for MSC. Completing the collection. Questions. Purpose of the Collection. UNSD presentation. Overview of the presentation. Growing dependency on technology. Paper-based . vs . electronic data collection approaches. Advantages and disadvantages of . using electronic data collection . UNSD presentation. Overview of the presentation. Paper-based . vs . electronic data collection approaches. Advantages and disadvantages of . using electronic data collection . technologies. Transitioning from paper to electronic data . Graph. Rates of . Return. Efficient Portfolio . Frontier. Regression . CAPM. Finance Ribbon. Use the Finance Ribbon. Download Ribbon.xlam from the website. (use . firefox. or chrome, explorer changes this to an .xlsm file).