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Varol, Cihan – ProQuest LLC, 2009
Companies acquire personal information from phone, World Wide Web, or email in order to sell or send an advertisement about their product. However, when this information is acquired, moved, copied or edited, the data may loose its quality. Often, the use of data administrators or a tool that has limited capabilities to correct the mistyped…
Descriptors: Business, Data Collection, Confidentiality, Error Patterns
Rouse, William B.; Rouse, Sandra H. – 1976
This paper considers estimation of parameters for a model currently being used to study the Illinois Interlibrary Loan Network (ILLINET) and presents a method for determining how much data should be collected and how it should be aggregated. Four classes of model parameters discussed: demands, probabilities of success, processing times, and…
Descriptors: Data Collection, Interlibrary Loans, Item Sampling, Library Networks

Bunda, Mary Anne – Journal of Educational Measurement, 1973
Procedures to be applicable in situations in which large numbers of individuals are tested or in situations where multiple measures are taken. (Author/CB)
Descriptors: Data Collection, Group Norms, Individual Testing, Item Sampling
Mislevy, Robert J.; Rieser, Mark R. – 1983
Multiple matrix sampling (MMS) theory indicates how data may be gathered to most efficiently convey information about levels of attainment in a population, but standard analyses of these data require random sampling of items from a fixed pool of items. This assumption proscribes the retirement of flawed or obsolete items from the pool as well as…
Descriptors: Comparative Analysis, Data Collection, Educational Assessment, Item Banks