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Showing 1 to 15 of 18 results Save | Export
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
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Puhan, Gautam; Moses, Tim; Grant, Mary; McHale, Fred – ETS Research Report Series, 2008
A single group (SG) equating design with nearly equivalent test forms (SiGNET) design was developed by Grant (2006) to equate small volume tests. The basis of this design is that examinees take two largely overlapping test forms within a single administration. The scored items for the operational form are divided into mini-tests called testlets.…
Descriptors: Data Collection, Equated Scores, Item Sampling, Sample Size
Peer reviewed Peer reviewed
Gold, Robert S.; And Others – Journal of School Health, 1983
This article examines the utility of multi-matrix sampling as a technique in health education research that permits collection of large quantities of data without lengthy questionnaires or excessive time demands on respondents. Advantages and limitations of multi-matrix sampling are delineated through a hypothetical example. (Authors/CJ)
Descriptors: Data Collection, Health Education, Item Sampling, Matrices
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
Austin, Dean A.; Novak, Carl D. – Health Education (Washington D.C.), 1976
This study demonstrates that multiple matrix sampling procedures can be used to collect assessment data efficiently, unabstrusively, and reliably. (MB)
Descriptors: Data Collection, Educational Testing, Evaluation Methods, Item Sampling
Peer reviewed Peer reviewed
Pascale, Pietro J. – Journal of Drug Education, 1976
This paper presents a procedure called multiple matrix sampling which simplifies data collection for drug incidence surveys. Advantages for the use of multiple matrix sampling with drug surveys are discussed and a practical example is outlined presenting the guidelines for a sampling plan. (Author)
Descriptors: Data Collection, Drug Abuse, Guidelines, Item Sampling
Peer reviewed Peer reviewed
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
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Graham, John W.; Taylor, Bonnie J.; Olchowski, Allison E.; Cumsille, Patricio E. – Psychological Methods, 2006
The authors describe 2 efficiency (planned missing data) designs for measurement: the 3-form design and the 2-method measurement design. The 3-form design, a kind of matrix sampling, allows researchers to leverage limited resources to collect data for 33% more survey questions than can be answered by any 1 respondent. Power tables for estimating…
Descriptors: Cost Effectiveness, Structural Equation Models, Psychological Studies, Data Collection
Sirotnik, Kenneth A. – 1974
One solution to the problem of obtaining test scores in order to assess multiple outcomes of educational programs is a basically simple technique called matrix sampling. Matrix sampling is the estimation of total test score statistics by administering random subsets of test items to randomly selected students. This chapter lays out the specific…
Descriptors: Data Collection, Educational Testing, Evaluation Methods, Guidelines
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
Petersen, Dwain F.; Anderson, Douglas H. – 1971
The equivalency of item sampling and student sampling of attitudes of college students was investigated. A factor analysis of student-sampled data collected during Spring 1968, was compared with a factor analysis of item-sampled data collected each quarter from Fall 1968, through Winter 1970, at Mankato State College, using the Campus Environment…
Descriptors: Attitude Measures, College Environment, College Students, Data Collection
Loadman, William E. – 1972
The procedure of item sampling was employed to reduce the time expenditure of participants when responding to a questionnaire concerned with the implementation of an innovative elementary school project. Approximately 50 student teachers and 42 regular classroom teachers responded to one of two forms of the questionnaire. There was a total of 103…
Descriptors: Comparative Analysis, Data Collection, Educational Innovation, Elementary Education
Peer reviewed Peer reviewed
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Liang, Xin – Evaluation and Research in Education, 2003
Multiple matrix sampling is a data collection technique that ensures accuracy and efficiency in group performance. It has been widely used in large-scale curriculum evaluation since the 1980s. However, the design does not always fully embrace the dynamics of local evaluation demands. The purpose of this study is to introduce a modified matrix…
Descriptors: Curriculum Evaluation, Item Sampling, Matrices, Statistical Studies
Coker, Dana Rosenberg; Friedel, Janice Nahra – 1990
A matrix model for the collection, management, and utilization of data was developed at Eastern Iowa Community College District, (Davenport, Iowa) for evaluating institutional effectiveness. The model was examined in relation to various assessment instruments and the evaluation of functional areas and programs. Surveys of six different target…
Descriptors: Community Colleges, Data Collection, Evaluation, Higher Education
Scott, Craig S.; Thorne, Gaylord – 1980
Two different methods for collecting course-specific data on class learning and growth are discussed. The first, Item/Student Sampling, is directly dependent upon assessing class performance both prior to and following instruction. This procedure relies on multiple matrix sampling techniques. The second method, referred to as Self-Report of Course…
Descriptors: Academic Achievement, Affective Measures, Course Evaluation, Course Objectives
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