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Robin Clausen – Grantee Submission, 2024
Alternative poverty measures have been proposed in response to the emerging insufficiencies of the National School Lunch Program (NSLP) eligibility data. The analysis presented here involves seven poverty measures. Using outcome measures as a yardstick, we can assess how poverty measures explain these outcomes and note variations between…
Descriptors: Economically Disadvantaged, Outcomes of Education, Poverty, Lunch Programs
Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – Grantee Submission, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Middle School Students, Middle School Mathematics, Reading Comprehension, Intelligent Tutoring Systems
Tiffany Wu; Christina Weiland; Meghan McCormick; JoAnn Hsueh; Catherine Snow; Jason Sachs – Grantee Submission, 2024
The Hearts and Flowers (H&F) task is a computerized executive functioning (EF) assessment that has been used to measure EF from early childhood to adulthood. It provides data on accuracy and reaction time (RT) across three different task blocks (hearts, flowers, and mixed). However, there is a lack of consensus in the field on how to score the…
Descriptors: Scoring, Executive Function, Kindergarten, Young Children
Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Kim, Dan; Opfer, John E. – Grantee Submission, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
Michael Matta; Milena A. Keller-Margulis; Sterett H. Mercer – Grantee Submission, 2022
Although researchers have investigated technical adequacy and usability of written-expression curriculum-based measures (WE-CBM), the economic implications of different scoring approaches have largely been ignored. The absence of such knowledge can undermine the effective allocation of resources and lead to the adoption of suboptimal measures for…
Descriptors: Cost Effectiveness, Scoring, Automation, Writing Tests
Kathleen Lynne Lane; Wendy Peia Oakes; Mark Matthew Buckman; Nathan Allen Lane; Katie Scarlett Lane; Kandace Fleming; Rebecca E. Swinburne Romine; Rebecca L. Sherod; Emily Dawn Cantwell; Chi-Ning Chang – Grantee Submission, 2024
Introduction: We report predictive validity of the newly defined Student Risk Screening Scale -- Internalizing and Externalizing (SRSS-IE 9, with 9 items) when used for the first time by middle and high school teachers from 43 schools. Methods: The sample included 11,773 middle school-aged students representing four geographic regions, and 7,244…
Descriptors: Predictive Validity, Middle School Students, High School Students, At Risk Students
Christina Weiland; Lillie Moffett; Paola Guerrero Rosada; Amanda Weissman; Kehui Zhang; Michelle Maier; Catherine Snow; Meghan McCormick; JoAnn Hsueh; Jason Sachs – Grantee Submission, 2023
Classroom-level quality measures are widely used in early education settings but may mask important variation in learning experiences across children in the same classroom. This study investigates this possibility using detailed data from an observational measure of individual children's learning experiences--Individualizing Student Instruction…
Descriptors: Learning Experience, Individual Differences, Individualized Instruction, Public Schools
Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
James Sebastian; David Aguayo; Wenxi Yang; Wendy M. Reinke; Keith C. Herman – Grantee Submission, 2023
The present study analyzed concurrent and predictive validity of single-item scales for assessing principal stress and coping. We examined concurrent and prospective relations among stress and coping single-items with principal job satisfaction, overall health, perceptions of school safety, and principal leadership self-efficacy. We also compared…
Descriptors: Principals, Stress Variables, Stress Management, Coping
Christine M. White; Christopher Schatschneider – Grantee Submission, 2023
Universal screening to predict students' risk for reading problems is a foundational component of the Multi-Tiered Systems of Support framework and is required by law in many US states. School or district administrators are tasked with selecting screening assessments that are both technically adequate and feasible given the resources of their…
Descriptors: Screening Tests, Reading Tests, Reading Difficulties, Classification
Sutherland, Marah; Clarke, Ben; Nese, Joseph F. T.; Cary, Mari Strand; Shanley, Lina; Furjanic, David; Durán, Lillian – Grantee Submission, 2020
Drawing from the developmental and cognitive mathematics literature, the purpose of this study was to investigate the reliability, validity, and diagnostic utility of a widely-researched number line task in kindergarten. Specifically, the Number Line Assessment 0-100 (NLA 0-100) as compared to an established kindergarten screening measure was…
Descriptors: Mathematics Tests, Screening Tests, Test Reliability, Test Validity
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2022
Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…
Descriptors: Writing Evaluation, Writing Tests, Predictive Validity, Formative Evaluation
Su, Shiyang; Davison, Mark L. – Grantee Submission, 2019
Response times have often been used as ancillary information to improve parameter estimation. Under the dual processing theory, assuming reading comprehension requires an automatic process, a fast, correct response is an indicator of effective automatic processing. A skilled, automatic comprehender should be high in response accuracy and low in…
Descriptors: Reaction Time, Reading Comprehension, Reading Tests, Predictive Validity
Gary A. Troia; Frank R. Lawrence; Julie S. Brehmer; Kaitlin Glause; Heather L. Reichmuth – Grantee Submission, 2023
Much of the research that has examined the writing knowledge of school-age students has relied on interviews to ascertain this information, which is problematic because interviews may underestimate breadth and depth of writing knowledge, require lengthy interactions with participants, and do not permit a direct evaluation of a prescribed array of…
Descriptors: Writing Tests, Writing Evaluation, Knowledge Level, Elementary School Students