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Petrilli, Michael J. – Education Next, 2022
In the late 1960s, when federal officials and eminent psychologists were first designing the National Assessment of Educational Progress (NAEP), they probably never contemplated testing students younger than nine. The technology for mass testing at the time--bubble sheets and No. 2 pencils--only worked if students could read the instructions and…
Descriptors: Kindergarten, Student Evaluation, National Competency Tests, Computer Assisted Testing
Susan Barnes Porter – ProQuest LLC, 2022
The data from universal screeners must be valid and reliable in order to use it to make appropriate decisions about how best to allocate resources to support students who are at risk of not passing the state achievement test. The instruments used as part of universal screening must also have diagnostic accuracy. This study examined the diagnostic…
Descriptors: Screening Tests, Accuracy, Computer Assisted Testing, Achievement Tests
Weiling Li; Aaron Butler; Catherine Oberle; Anabil Munshi; Amy J. Dray – Online Submission, 2023
Edmentum offers a personalized learning platform called Exact Path. This quasi-experimental study, designed to meet ESSA Tier 2 evidence and What Works Clearinghouse standards with reservations, aimed to assess the efficacy of Exact Path in a district from the Midwestern United States. The goal was to provide specific recommendations to educators…
Descriptors: Achievement Tests, Scores, Educational Technology, Reading Achievement
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Wise, Steven L.; Soland, James; Dupray, Laurence M. – Journal of Applied Testing Technology, 2021
Technology-Enhanced Items (TEIs) have been purported to be more motivating and engaging to test takers than traditional multiple-choice items. The claim of enhanced engagement, however, has thus far received limited research attention. This study examined the rates of rapid-guessing behavior received by three types of items (multiple-choice,…
Descriptors: Test Items, Guessing (Tests), Multiple Choice Tests, Achievement Tests
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Boorse, Jaclin; Van Norman, Ethan R. – Psychology in the Schools, 2021
Prior research on the Measures of Academic Progress (MAP), a computer-adaptive test distributed by the Northwest Evaluation Association, has primarily focused on the Reading MAP for screening/benchmarking in elementary grades. The purpose of this study was to explore the functional form of growth and the extent to which student variability in…
Descriptors: Achievement Tests, Mathematics Tests, Adaptive Testing, Computer Assisted Testing
Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie; McFadden, Sara; Reynolds, Dan; Lantos, Tess; Jones, Sara – Assessment for Effective Intervention, 2022
Assessment of language skills for upper elementary and middle schoolers is important due to the strong link between language and reading comprehension. Yet, currently few practical, reliable, valid, and instructionally informative assessments of language exist. This study provides validation evidence for Monster, P.I., which is a gamified,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Language Tests, Vocabulary
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Wise, Steven L.; Kuhfeld, Megan R.; Cronin, John – Educational Assessment, 2022
The arrival of the COVID-19 pandemic had a profound effect on K-12 education. Most schools transitioned to remote instruction, and some used remote testing to assess student learning. Remote testing, however, is less controlled than in-school testing, leading to concerns regarding test-taking engagement. This study compared the disengagement of…
Descriptors: Computer Assisted Testing, COVID-19, Pandemics, Learner Engagement
He, Wei – NWEA, 2022
To ensure that student academic growth in a subject area is accurately captured, it is imperative that the underlying scale remains stable over time. As item parameter stability constitutes one of the factors that affects scale stability, NWEA® periodically conducts studies to check for the stability of the item parameter estimates for MAP®…
Descriptors: Achievement Tests, Test Items, Test Reliability, Academic Achievement
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Rambo-Hernandez, Karen E.; Makel, Matthew C.; Peters, Scott J.; Worley, Cristina – British Journal of Educational Psychology, 2022
Background: Students vary in their initial achievement when they enter school and their rate of academic growth as they move through school. These differences have implications for classroom instruction and educational policy. Although previous research has examined initial achievement and growth differences, a gap remains in understanding how…
Descriptors: Outcomes of Education, Teaching Methods, Educational Policy, Grade 3
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Kuhfeld, Megan; Soland, James – Journal of Research on Educational Effectiveness, 2020
Educational stakeholders have long known that students might not be fully engaged when taking an achievement test and that such disengagement could undermine the inferences drawn from observed scores. Thanks to the growing prevalence of computer-based tests and the new forms of metadata they produce, researchers have developed and validated…
Descriptors: Metadata, Computer Assisted Testing, Achievement Tests, Reaction Time
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VanMeveren, Kalie; Hulac, David; Wollersheim-Shervey, Sarah – Assessment for Effective Intervention, 2020
Reading screening assessments help educators identify students who are at risk of reading and determine the need for intervention and supports. However, some schools screen and assess students more often than needed, and the additional information does not improve the accuracy of decisions. This may be especially true for students at the upper…
Descriptors: Reading Tests, Screening Tests, Elementary School Students, High Stakes Tests
Gareis, Christopher R.; McMillan, James H.; Smucker, Amelie; Huang, Ke – Online Submission, 2021
The purpose of this study was to gauge the degree to which selected NWEA MAP Growth assessments are aligned to the Virginia Standards of Learning (SOL) and the extent to which MAP Growth reports can be used by school divisions to gauge student achievement relative to grade level and to identify learning gaps. The study was delimited to four MAP…
Descriptors: Achievement Tests, Academic Standards, State Standards, Alignment (Education)
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Zavitkovsky, Paul – Center for Urban Education Leadership, 2022
After the passage of "No Child Left Behind," and especially after Obama-era Race to the Top initiatives, rising accountability for improved achievement and widespread dissatisfaction with the instructional value of statewide test reports led many school districts to purchase computer-adaptive "interim" testing systems. A common…
Descriptors: Formative Evaluation, Outsourcing, Outcomes of Education, Equal Education
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Zawoyski, Andrea; Ardoin, Scott P. – School Psychology Review, 2019
Reading comprehension assessments often include multiple-choice (MC) questions, but some researchers doubt their validity in measuring comprehension. Consequently, new assessments may include more short-answer (SA) questions. The current study contributes to the research comparing MC and SA questions by evaluating the effects of anticipated…
Descriptors: Eye Movements, Elementary School Students, Children, Test Format
Davis, Marcia H.; Wang, Wenhao; Kingston, Neal M.; Hock, Michael; Tonks, Stephen M.; Tiemann, Gail – Grantee Submission, 2020
Background: The importance of reading motivation has led to the development of a large number of self-report reading motivation measures; however, there is still a need for a usable measure of adolescent reading motivation that captures a large number of theoretically and empirically distinct constructs. Methods: The current paper details the…
Descriptors: Reading Motivation, Computer Assisted Testing, Adaptive Testing, Measures (Individuals)
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