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Gardner, John; O'Leary, Michael; Yuan, Li – Journal of Computer Assisted Learning, 2021
Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…
Descriptors: Artificial Intelligence, Educational Assessment, Formative Evaluation, Summative Evaluation
Nyroos, Mikaela; Wiklund-Hornqvist, Carola – Electronic Journal of Research in Educational Psychology, 2011
Introduction: The Swedish government has decided to introduce national tests in primary education. Swedish pupils in general have few tests and a recognised possible adverse effect of testing is test anxiety among pupils, which may have a negative impact on examination performance. However, there has been little research on effects of testing on…
Descriptors: Primary Education, Mathematics Achievement, Testing, Grade 3
Thaler, Lore; Todd, James T. – Journal of Experimental Psychology: Human Perception and Performance, 2010
Visual information can specify spatial layout with respect to the observer (egocentric) or with respect to an external frame of reference (allocentric). People can use both of these types of visual spatial information to guide their hands. The question arises if movements based on egocentric and movements based on allocentric visual information…
Descriptors: Feedback (Response), Testing, Visual Perception, Brain
Meyers, Jason L.; Miller, G. Edward; Way, Walter D. – Applied Measurement in Education, 2009
In operational testing programs using item response theory (IRT), item parameter invariance is threatened when an item appears in a different location on the live test than it did when it was field tested. This study utilizes data from a large state's assessments to model change in Rasch item difficulty (RID) as a function of item position change,…
Descriptors: Test Items, Test Content, Testing Programs, Simulation
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2008
This report presents guidelines for addressing the multiple comparisons problem in impact evaluations in the education area. The problem occurs due to the large number of hypothesis tests that are typically conducted across outcomes and subgroups in these studies, which can lead to spurious statistically significant impact findings. The…
Descriptors: Guidelines, Testing, Hypothesis Testing, Statistical Significance
Martino, Gabrielle – Abell Foundation, 2009
The educational standards, instruction, and testing of mathematics remain a controversial subject in the United States. Given the significant and growing need for mathematics remediation, it is reasonable to question how well individual states are preparing its high school students to succeed. This evaluation examines the correlation between the…
Descriptors: High Schools, Student Placement, Testing, Academic Achievement
Burchinal, Margaret R.; Clarke-Stewart, K. Alison – Developmental Psychology, 2007
J. Brooks-Gunn, W. J. Han, and J. Waldfogel (2002) and the National Institute of Child Health and Human Development Early Child Care Research Network (ECCRN; 2000b) came to different conclusions about the effects of maternal employment--although they were addressing similar questions using the same data set. Brooks-Gunn et al. concluded that…
Descriptors: Employment, Data Analysis, Child Health, Testing
Rogers, W. Todd; Anderson, John O.; Klinger, Don A.; Dawber, Teresa – Canadian Journal of Education, 2006
Large-scale scale testing agencies, which are generally located within provincial ministries of education and the Council of Ministers of Education, Canada, have called for secondary data analysis of test and survey data that link contextual and educational factors to student performance. First, the potential of secondary analyses is outlined,…
Descriptors: Foreign Countries, Data Analysis, Testing, Research Methodology
Weigle, David C. – 1994
The purposes of the present paper are to address the historical development of statistical significance testing and to briefly examine contemporary practices regarding such testing in the light of these historical origins. Precursors leading to the advent of statistical significance testing are examined as are more recent controversies surrounding…
Descriptors: Data Analysis, Educational History, Etiology, Research Methodology
Bolt, Daniel M.; Gierl, Mark J. – Journal of Educational Measurement, 2006
Inspection of differential item functioning (DIF) in translated test items can be informed by graphical comparisons of item response functions (IRFs) across translated forms. Due to the many forms of DIF that can emerge in such analyses, it is important to develop statistical tests that can confirm various characteristics of DIF when present.…
Descriptors: Regression (Statistics), Tests, Test Bias, Test Items
Jarjoura, David; Brennan, Robert L. – New Directions for Testing and Measurement, 1983
Multivariate generalizability techniques are used to bridge the gap between psychometric constraints and the tables of specifications needed in test development. Techniques are illustrated with results from the American College Testing Assessment Program. (Author/PN)
Descriptors: Data Analysis, Mathematical Models, Multivariate Analysis, Test Construction
Achieve, Inc., 2007
Achieve launched this study to help inform the decisions states are making about high school assessments by providing greater insights into the world of college admissions and placement testing. Achieve analyzed more than 2,000 questions from college admissions and placement exams to determine how these tests compare to one another and how well…
Descriptors: High Schools, Student Placement, Mathematics Skills, College Admission
Hawaii State Dept. of Education, Honolulu. Office of Instructional Services. – 1985
This report was designed to provide information on the effectiveness of the high school mathematics program in Hawaii, including identification of deficiency areas. The Stanford Achievement Test of Academic Skills (TASK) Level 1 was administered to 10,154 tenth-grade students in October 1983. In general, the students did not perform as well as the…
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Error Patterns
Program Analysis of Grade 2 Stanford Achievement Test, Primary Level II. Spring 1984 Administration.
Hawaii State Dept. of Education, Honolulu. Office of Instructional Services. – 1985
This report was designed to provide information on the effectiveness of the mathematics instructional program in grade 2 in Hawaii, including identification of deficiency areas. The Stanford Achievement Test, Primary Level II, was administered in May 1984 to 12,106 students in grade 2. In general, these students performed better than the national…
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Elementary School Mathematics
Davenport, Neva Ann Medcalf – International Journal of Early Years Education, 2003
While testing children for readiness to enter Kindergarten using the Peabody Individual Achievement Test-R and interview probes, a pattern of responses developed indicating that some of the children were continuing to process answers to questions and to formulate elaborations to statements long after the testing had moved to other questions and…
Descriptors: Testing, Young Children, School Readiness, Achievement Tests
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