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How Does Schooling Affect Inequality in Cognitive Skills? The View from Seasonal Comparison Research
Douglas B. Downey – Review of Educational Research, 2024
A small subset of education studies analyzes school data collected seasonally (separating the summer from the school year). At first, this work was primarily known for documenting learning loss in the summers, but scholars have since recognized that observing how inequality changes between summer and school periods provides leverage for…
Descriptors: Data Collection, Educational Research, Learning Analytics, Cognitive Ability
George Leckie; Richard Parker; Harvey Goldstein; Kate Tilling – Journal of Educational and Behavioral Statistics, 2024
School value-added models are widely applied to study, monitor, and hold schools to account for school differences in student learning. The traditional model is a mixed-effects linear regression of student current achievement on student prior achievement, background characteristics, and a school random intercept effect. The latter is referred to…
Descriptors: Academic Achievement, Value Added Models, Accountability, Institutional Characteristics
Klingbeil, David A.; Van Norman, Ethan R.; Osman, David J.; Berry-Corie, Kimberly; Carberry, Caroline K.; Kim, Jessica S. – Journal of Psychoeducational Assessment, 2023
Early identification of students needing additional support is a foundational component of Multi-Tiered Systems of Support (MTSS). Due to the resource-intensive nature of implementing MTSS, it is critical that universal screening procedures are maximally accurate and efficient. The purpose of this study was to compare the classification accuracy…
Descriptors: Comparative Analysis, Benchmarking, Evaluation Methods, Screening Tests
Wang, Ze – Large-scale Assessments in Education, 2022
In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…
Descriptors: Comparative Analysis, Evaluation Methods, Grade 8, Mathematics Achievement
Carly Oddleifson; Stephen Kilgus; David A. Klingbeil; Alexander D. Latham; Jessica S. Kim; Ishan N. Vengurlekar – Grantee Submission, 2025
The purpose of this study was to conduct a conceptual replication of Pendergast et al.'s (2018) study that examined the diagnostic accuracy of a nomogram procedure, also known as a naive Bayesian approach. The specific naive Bayesian approach combined academic and social-emotional and behavioral (SEB) screening data to predict student performance…
Descriptors: Bayesian Statistics, Accuracy, Social Emotional Learning, Diagnostic Tests
Kolomuc, Ali; Karagölge, Zafer – Journal of Science Learning, 2021
This study compares the successes of numbers 94 7th grade students in science education with assessment-evaluation questions based on skill and acquisition. Assessment-evaluation achievement tests based on skill and acquisition were developed by researchers towards the measurement of force and acquisitions in friction units taking place in the…
Descriptors: Comparative Analysis, Grade 7, Skill Development, Student Evaluation
Vidal Rodeiro, Carmen; Williamson, Joanna – Cambridge University Press & Assessment, 2022
This research will investigate the impact of awarding centre assessment grades (CAGs) on the education system. The focus will be on the progression to post-16 study of the students who sat General Certificate of Secondary Education (GCSE) and/or other Level 1/2 qualifications in June 2020. The uptake of qualifications/subjects taken during the…
Descriptors: Postsecondary Education, Higher Education, Secondary School Students, Achievement Tests
Maritza Casas; Stephen G. Sireci – International Journal of Testing, 2025
In this study, we take a critical look at the degree to which the measurement of bullying and sense of belonging at school is invariant across groups of students defined by immigrant status. Our study focuses on the invariance of these constructs as measured on a recent PISA administration and includes a discussion of two statistical methods for…
Descriptors: Error of Measurement, Immigrants, Peer Groups, Bullying
Gill, Tim – Research Matters, 2022
In Comparative Judgement (CJ) exercises, examiners are asked to look at a selection of candidate scripts (with marks removed) and order them in terms of which they believe display the best quality. By including scripts from different examination sessions, the results of these exercises can be used to help with maintaining standards. Results from…
Descriptors: Comparative Analysis, Decision Making, Scripts, Standards
Bell, Courtney A.; Dobbelaer, Marjoleine J.; Klette, Kirsti; Visscher, Adrie – School Effectiveness and School Improvement, 2019
Observation systems are increasingly used around the world for a variety of purposes; 2 critical purposes are to understand and to improve teaching. As observation systems differ considerably, individuals must decide what observation system to use. But the field does not have a common specification of an observation system, nor does it have…
Descriptors: Classroom Observation Techniques, Instructional Improvement, Evaluation Methods, Systems Approach
Meyers, Coby; Wan, Yinmei – Regional Educational Laboratory Northeast & Islands, 2017
Identifying schools that are beating the odds--schools that are exceeding academic performance expectations, given the composition of their student body--can lead to promising practices that other schools serving similar populations can implement. Regional Educational Laboratory Northeast & Islands used data on high-poverty high schools in…
Descriptors: Comparative Analysis, Institutional Characteristics, Poverty, Public Schools
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged
Sophie Litschwartz; Dan Cullinan; Colin Hill – Center for the Analysis of Postsecondary Readiness, 2024
Historically, colleges have used standardized testing to determine whether a student is ready for college-level work or requires developmental courses first, but this method has been criticized as inaccurate. To obtain more accurate placements, nearly three-quarters of colleges now use multiple measures assessment (MMA) systems. These systems…
Descriptors: Student Placement, Evaluation Methods, Alternative Assessment, Standardized Tests
Matthew Jon Balcom – ProQuest LLC, 2023
The American school system is funded, operated, and evaluated based on student academic achievement data that is generated by various assessment tools and grading practices. The most traditional grading practice, norm-referenced grading, assesses student academic achievement on a 100-point scale that is further broken into categorical levels (A-F)…
Descriptors: Grading, Chemistry, Science Instruction, Standards
Reardon, Sean F.; Kalogrides, Demetra; Ho, Andrew D. – Stanford Center for Education Policy Analysis, 2017
There is no comprehensive database of U.S. district-level test scores that is comparable across states. We describe and evaluate a method for constructing such a database. First, we estimate linear, reliability-adjusted linking transformations from state test score scales to the scale of the National Assessment of Educational Progress (NAEP). We…
Descriptors: School Districts, Scores, Statistical Distributions, Database Design