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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
New York State Education Department, 2018
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 English Language Arts (ELA) and Mathematics 2018 Operational Tests. This report includes information about test content and test development, item (i.e., individual…
Descriptors: English, Language Arts, Language Tests, Mathematics Tests
New York State Education Department, 2017
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 English Language Arts (ELA) and Mathematics 2017 Operational Tests. This report includes information about test content and test development, item (i.e., individual…
Descriptors: English, Language Arts, Language Tests, Mathematics Tests
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
New York State Education Department, 2016
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 Common Core English Language Arts (ELA) and Mathematics 2016 Operational Tests. This report includes information about test content and test development, item (i.e.,…
Descriptors: Testing Programs, English, Language Arts, Mathematics Tests
New York State Education Department, 2015
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 Common Core English Language Arts (ELA) and Mathematics 2015 Operational Tests. This report includes information about test content and test development, item (i.e.,…
Descriptors: Testing Programs, English, Language Arts, Mathematics Tests
New York State Education Department, 2014
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 Common Core English Language Arts (ELA) and Mathematics 2014 Operational Tests. This report includes information about test content and test development, item (i.e.,…
Descriptors: Testing Programs, English, Language Arts, Mathematics Tests
Cook, Linda; Eignor, Daniel; Sawaki, Yasuyo; Steinberg, Jonathan; Cline, Frederick – Applied Measurement in Education, 2010
This study compared the underlying factors measured by a state standards-based grade 4 English-Language Arts (ELA) assessment given to several groups of students. The focus of the research was to gather evidence regarding whether or not the tests measured the same construct or constructs for students without disabilities who took the test under…
Descriptors: Language Arts, Educational Assessment, Grade 4, State Standards
Stapleton, Laura M.; Reiner, Laura S.; Aluvathingal, Anu J. – Society for Research on Educational Effectiveness, 2010
This proposed research is part of an on-going line of research of developing questionnaire instruments for use at the elementary school level. Because field trials often use child self-report as outcome measures and sometimes determine implementation fidelity using such measures, evaluation of the validity of the use of such measures with…
Descriptors: Health Services, Child Health, Measures (Individuals), Data Collection
Bowen, Natasha K. – Social Work Research, 2008
The Elementary School Success Profile (ESSP) is a social environmental assessment tool that collects data from third, fourth, and fifth graders, their parents or guardians, and their teachers. Ensuring the validity of the data collected with the child-report component was a primary concern during the development of the ESSP. This article describes…
Descriptors: Testing, Validity, Profiles, Grade 3
Bowen, Natasha K. – Social Work Research, 2006
The Elementary School Success Profile (ESSP) is a multidimensional instrument for school-based practitioners that assesses the social environmental domains of neighborhood, school, friends, and family, as well as the well-being, behavior, and school performance of students in the third, fourth, and fifth grade. This article presents the…
Descriptors: Psychometrics, Elementary Schools, Social Environment, Well Being
Jones, Darla – Technology, Pedagogy and Education, 2005
This article presents the results of a study conducted in Anchorage, Alaska, that evaluated the accuracy and efficiency of using voice recognition (VR) technology to collect oral reading fluency data for classroom-based assessments. The primary research question was as follows: Is voice recognition technology a valid and reliable alternative to…
Descriptors: Educational Technology, Technology Uses in Education, Oral Language, Perception

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