Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 6 |
Descriptor
Computer Assisted Testing | 6 |
Data Collection | 6 |
Grade 4 | 5 |
Progress Monitoring | 3 |
Reading Achievement | 3 |
Accuracy | 2 |
Adaptive Testing | 2 |
Bayesian Statistics | 2 |
Comparative Analysis | 2 |
Computation | 2 |
Feedback (Response) | 2 |
More ▼ |
Source
International Association for… | 1 |
International Working Group… | 1 |
Journal of Education for… | 1 |
National Assessment of… | 1 |
Psychology in the Schools | 1 |
School Psychology Review | 1 |
Author
Publication Type
Reports - Research | 4 |
Journal Articles | 3 |
Collected Works - General | 1 |
Collected Works - Proceedings | 1 |
Reports - Descriptive | 1 |
Education Level
Grade 4 | 6 |
Elementary Education | 5 |
Middle Schools | 5 |
Intermediate Grades | 4 |
Grade 8 | 3 |
Junior High Schools | 3 |
Secondary Education | 3 |
Grade 5 | 2 |
Adult Education | 1 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
More ▼ |
Audience
Teachers | 1 |
Location
Australia | 2 |
Asia | 1 |
Canada | 1 |
Czech Republic | 1 |
Europe | 1 |
Israel | 1 |
Macau | 1 |
Massachusetts | 1 |
Netherlands | 1 |
New Zealand | 1 |
North America | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Massachusetts Comprehensive… | 1 |
National Assessment of… | 1 |
Progress in International… | 1 |
What Works Clearinghouse Rating
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Van Norman, Ethan R.; Ysseldyke, James E. – School Psychology Review, 2020
Within multitiered systems of support, assessment practices that limit the amount of time students miss instruction should be prioritized. At the same time, decisions about student response to intervention need to be based upon technically adequate data. We evaluated the impact of data collection frequency and trend estimation method on the…
Descriptors: Data Collection, Adaptive Testing, Computer Assisted Testing, Computation
Nelson, Peter M.; Van Norman, Ethan R.; Klingbeil, Dave A.; Parker, David C. – Psychology in the Schools, 2017
Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…
Descriptors: Progress Monitoring, Computer Assisted Testing, Data Collection, Scheduling
Martin, Michael O., Ed.; Mullis, Ina V. S., Ed.; Hooper, Martin, Ed. – International Association for the Evaluation of Educational Achievement, 2017
"Methods and Procedures in PIRLS 2016" documents the development of the Progress in International Reading Literacy Study (PIRLS) assessments and questionnaires and describes the methods used in sampling, translation verification, data collection, database construction, and the construction of the achievement and context questionnaire…
Descriptors: Foreign Countries, Achievement Tests, Grade 4, International Assessment
National Assessment of Educational Progress (NAEP), 2017
The National Assessment of Education Progress (NAEP) is the largest continuing and nationally representative assessment of what the nation's students know and can do in subjects such as civics, geography, mathematics, reading, U.S. history, and writing. The results of NAEP are released as The Nation's Report Card. NAEP is a congressionally…
Descriptors: National Competency Tests, Computer Assisted Testing, Grade 4, Grade 8
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries