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Cui, Zhongmin – Educational Measurement: Issues and Practice, 2020
Thanks to COVID-19, schools were closed and tests were canceled. The result is that we may not see test-taking data typically seen before. For some analyses, sample sizes may not meet the minimum requirement. For others, the sample of test-takers may be different from previous years. In some situation, there may be no data at all. What do we do in…
Descriptors: Testing, Sample Size, Data Collection, COVID-19
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Lottridge, Sue; Burkhardt, Amy; Boyer, Michelle – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…
Descriptors: Computer Assisted Testing, Scoring, Automation, Educational Assessment
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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2016
Data mining methods for classification and regression are becoming increasingly popular in various scientific fields. However, these methods have not been explored much in educational measurement. This module first provides a review, which should be accessible to a wide audience in education measurement, of some of these methods. The module then…
Descriptors: Data Collection, Information Retrieval, Classification, Regression (Statistics)
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Feinberg, Richard A.; Rubright, Jonathan D. – Educational Measurement: Issues and Practice, 2016
Simulation studies are fundamental to psychometric discourse and play a crucial role in operational and academic research. Yet, resources for psychometricians interested in conducting simulations are scarce. This Instructional Topics in Educational Measurement Series (ITEMS) module is meant to address this deficiency by providing a comprehensive…
Descriptors: Simulation, Psychometrics, Vocabulary, Research Design
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Nichols, Paul D.; Williams, Natasha – Educational Measurement: Issues and Practice, 2009
This article has three goals. The first goal is to clarify the role that the consequences of test score use play in validity judgments by reviewing the role that modern writers on validity have ascribed for consequences in supporting validity judgments. The second goal is to summarize current views on who is responsible for collecting evidence of…
Descriptors: Tests, Test Validity, Scores, Data Collection
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Tong, Ye; Kolen, Michael J. – Educational Measurement: Issues and Practice, 2010
"Scaling" is the process of constructing a score scale that associates numbers or other ordered indicators with the performance of examinees. Scaling typically is conducted to aid users in interpreting test results. This module describes different types of raw scores and scale scores, illustrates how to incorporate various sources of…
Descriptors: Test Results, Scaling, Measures (Individuals), Raw Scores
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Kolen, Michael J. – Educational Measurement: Issues and Practice, 2001
Discusses some practical issues in linking educational assessments, focusing on the importance of clarity of purpose when assessments are linked. Also stresses the importance of the design used to collect data for linking. Uses linking studies from a variety of situations to illustrate these points. (SLD)
Descriptors: Data Collection, Educational Assessment, Equated Scores, Research Design
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Shermis, Mark D.; Averitt, Jason – Educational Measurement: Issues and Practice, 2002
Outlines a series of security steps that might be taken by researchers or organizations that are contemplating Web-based tests and performance assessments. Focuses on what can be done to avoid the loss, compromising, or modification of data collected by or stored through the Internet. (SLD)
Descriptors: Computer Assisted Testing, Data Collection, Performance Based Assessment, Test Construction
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Leighton, Jacqueline P. – Educational Measurement: Issues and Practice, 2004
The collection of verbal reports is one way in which cognitive and developmental psychologists gather data to formulate and corroborate models of problem solving. The current use of verbal reports to design and validate educational assessments reflects the growing trend to fuse cognitive psychological research and educational measurement. However,…
Descriptors: Psychologists, Misconceptions, Measurement Techniques, Developmental Psychology