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Mitchell, Alison M.; Truckenmiller, Adrea; Petscher, Yaacov – Communique, 2015
As part of the Race to the Top initiative, the United States Department of Education made nearly 1 billion dollars available in State Educational Technology grants with the goal of ramping up school technology. One result of this effort is that states, districts, and schools across the country are using computerized assessments to measure their…
Descriptors: Computer Assisted Testing, Educational Technology, Testing, Efficiency
Improving Comprehension Assessment for Middle and High School Students: Challenges and Opportunities
Sabatini, John; Petscher, Yaacov; O'Reilly, Tenaha; Truckenmiller, Adrea – Grantee Submission, 2015
For decades, standardized reading comprehension tests have consisted of a series of passages and associated multiple-choice questions. Although widely used in and out of the classroom, there continues to be considerable disagreement regarding how or whether such tests have net value in the service of advancing educational progress in reading. This…
Descriptors: Middle School Students, High School Students, Reading Comprehension, Reading Tests
Foorman, Barbara R.; Petscher, Yaacov; Schatschneider, Chris – Florida Center for Reading Research, 2015
The grades K-2 Florida Center for Reading Research (FCRR) Reading Assessment (FRA) consists of computer-adaptive alphabetic and oral language screening tasks that provide a Probability of Literacy Success (PLS) linked to grade-level performance (i.e., the 40th percentile) on the word reading (in kindergarten) or reading comprehension (in grades…
Descriptors: Reading Instruction, Reading Tests, Kindergarten, Grade 1
Petscher, Yaacov; Kim, Young-Suk – Assessment for Effective Intervention, 2011
Letter-name identification has been widely used as part of early screening to identify children who might be at risk for future word reading difficulty. The goal of the present study was to examine whether a reduced set of letters could have similar diagnostic accuracy rather than a full set (i.e., 26 letters) when used as a screen. First, we…
Descriptors: Clinical Diagnosis, Measures (Individuals), Risk, Reading
Prevatt, Frances; Petscher, Yaacov; Proctor, Briley E.; Hurst, Abigail; Adams, Katharine – Educational and Psychological Measurement, 2006
Two competing structural models for the revised Learning and Study Strategies Inventory (LASSI) were examined. The test developers promote a model related to three uncorrelated components of strategic learning: skill, will, and self-regulation. Other investigators have shown empirical support for a three-factor correlated model characterized by…
Descriptors: College Students, Structural Equation Models, Learning Strategies, Factor Analysis