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Peer reviewedKlauer, Karl Christoph – Psychological Review, 1999
Argues that selecting data according to expected information gain, as proposed by M. Oaksford and N. Chater (1994, 1996), leads to suboptimal performance in Bayesian hypothesis testing. Procedures are presented that are better justified normatively, their psychological implications are explored, and a number of novel predictions are derived under…
Descriptors: Bayesian Statistics, Data Collection, Hypothesis Testing, Performance Based Assessment
Peer reviewedChater, Nick; Oaksford, Mike – Psychological Review, 1999
Argues that Klauer's proposal (1999) and proposal presented are equally well justified from a normative perspective and that, where the predictions of the two approaches diverge, the existing empirical evidence is consistent with the information gain approach. Recommends that more empirical research is required to decide between these two…
Descriptors: Bayesian Statistics, Data Collection, Hypothesis Testing, Performance Based Assessment
Zemke, Ron – Training, 1998
When training must be delivered quickly, needs assessment remains crucial despite time pressures. Quick ways to conduct needs assessment include interviews with key staff, analysis of information gathered for other purposes, and use of the World Wide Web. (SK)
Descriptors: Corporate Education, Data Collection, Evaluation Methods, Needs Assessment
Staniewicz, Theodore J.; Watson, Joseph J. – Facilities Manager, 2001
Examines the difficulties the electric industry's deregulation created for St. Joseph's University's (Philadelphia) development of a thermal ice-storage system as part of its HVAC design and the school's solution. A monthly equipment summary sheet with year-to-date figures is provided. (GR)
Descriptors: Climate Control, Data Collection, Electricity, Facility Planning
Hoffman, Lee – Education Statistics Quarterly, 2000
Discusses the history, uses, and ongoing development of the Common Core of Data (CCD). Describes the six surveys of the CCD, explores issues in survey and data quality, and discusses recent and ongoing developments. (Author/SLD)
Descriptors: Data Collection, Educational Research, Elementary Secondary Education, National Surveys
Peer reviewedTopp, Neal W.; Pawloski, Bob – Journal of Science Education and Technology, 2002
Describes the eventful history of online data collection and presents a review of current literature following by a list of pros and cons to be considered when stepping into online surveying. (Contains 14 references.) (Author/YDS)
Descriptors: Data Collection, Educational History, Research, Surveys
Peer reviewedMohr, Lawrence B. – American Journal of Evaluation, 1999
Discusses qualitative methods of impact analysis and provides an introductory treatment of one such approach. Combines an awareness of an alternative causal epistemology with current knowledge of qualitative methods of data collection and measurement to produce an approach to the analysis of impacts. (SLD)
Descriptors: Causal Models, Data Collection, Epistemology, Measurement Techniques
Redman, Thomas C. – EDUCAUSE Review, 2004
This document discusses the importance of data-quality and presents three simple steps that can help lay the framework for an over all data-quality strategy. The first step is to ask some rather simple questions, such as: (1) How much data does the organization have, how fast is it creating new data, and how many redundant copies are there?; and…
Descriptors: Computer Storage Devices, Computers, Data, Quality Control
Patterson, Jeffery; Merwin, Brandy J. – Science Teacher, 2002
Learning cycle investigations allow science students to model the activities of real scientists. An important step in modeling is data collection, which can present a problem in an astronomy course. The celestial body being studied often is unobservable for various reasons. (Contains 3 figures.)
Descriptors: Astronomy, Classification, Learning Processes, Investigations
Christensen, Laurene; Nielsen, Julie E.; Rogers, Christopher M.; Volkov, Boris – New Directions for Evaluation, 2005
Certain challenges are inherent in collecting data to evaluate nonformal education programs and settings. One challenge relates to the complexity of the educational system in which nonformal learning takes place. Separating the learning effects of a nonformal education program on participants from the effects of other essential elements of their…
Descriptors: Nonformal Education, Data Collection, Program Evaluation, Evaluation Methods
McGriff, Nancy; Harvey, Carl A.; Preddy, Leslie B. – School Library Media Activities Monthly, 2004
While the idea of data collection is new for many library media specialists, traditional statistics such as circulation, age, value, total collection numbers, class use of the library media center, etc. have been gathered since the dawn of library time. Typically these statistics are gathered simply because it has always been done, but library…
Descriptors: School Libraries, Statistics, Library Services, Data Collection
Marsh, Michael T. – American Journal of Business Education, 2009
Regardless of the related discipline, students in statistics courses invariably have difficulty understanding the connection between the numerical values calculated for end-of-the-chapter exercises and their usefulness in decision making. This disconnect is, in part, due to the lack of time and opportunity to actually design the experiments and…
Descriptors: Online Courses, Statistical Analysis, Sampling, Teaching Methods
Agodini, Roberto; Harris, Barbara; Atkins-Burnett, Sally; Heaviside, Sheila; Novak, Timothy; Murphy, Robert – National Center for Education Evaluation and Regional Assistance, 2009
The purpose of this large-scale, national study is to determine whether some early elementary school math curricula are more effective than others at improving student math achievement, thereby providing educators with information that may be useful for making adequate yearly progress (AYP). This report presents results from the first cohort of…
Descriptors: Investigations, Disadvantaged Schools, Educational Improvement, Mathematics Achievement
Centers for Disease Control and Prevention, 2009
This Technical Report includes detailed information on the reasons for the strategies presented in the Centers for Disease Control (CDC) "Guidance for School (K-12) Responses to Influenza During the 2009-2010 School Year" and suggestions on how to use them. The guidance is designed to decrease exposure to regular seasonal flu and 2009 H1N1 flu…
Descriptors: Health Promotion, Guidelines, State Government, Local Government
Roberto Agodini; Barbara Harris; Sally Atkins-Burnett; Sheila Heaviside; Timothy Novak; Robert Murphy – National Center for Education Evaluation and Regional Assistance, 2009
The purpose of this large-scale, national study is to determine whether some early elementary school math curricula are more effective than others at improving student math achievement, thereby providing educators with information that may be useful for making adequate yearly progress (AYP). This report presents results from the first cohort of…
Descriptors: Investigations, Disadvantaged Schools, Educational Improvement, Mathematics Achievement

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