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Michael J. Parker; Matt Bunch; Andrew Pike – Journal of Learning Analytics, 2025
While the educational value of formative assessment is widely acknowledged, the precise amount needed to effectively predict student performance on summative assessments remains unclear. This study investigates the relationship between intermediate formative assessment performance and final exam scores, addressing the critical question of how much…
Descriptors: Formative Evaluation, Tests, Scores, College Students
Roya Abbasi-Asl; Natasha Keces; Richard M. Lerner; Margaret Mackin; Dian Yu; Elizabeth M. Dowling; Jonathan M. Tirrell; Alexa Hasse; Kirsten Olander; Angela Larkan; Chuma Mashita; Raah Msimango; Sinenhlanhla Mkhithi; Tyler Howard – Child & Youth Care Forum, 2025
Background: Nomothetic, group differential, and idiographic approaches are all needed to fully understand youth development. However, most research on youth character development has traditionally relied on either the nomothetic approach to study whole sample changes or the differential approach to study changes in predefined groups (e.g.,…
Descriptors: Foreign Countries, Moral Development, Youth, Individual Development
Sarah E. Frampton; Sarah E. Vesely; Ky Jackson – Journal of Applied Behavior Analysis, 2025
Cover, copy, and compare (CCC) is a study strategy in which students cover their notes, attempt to copy them, and then compare for accuracy. We evaluated whether CCC could be used to establish equivalence classes with undergraduate students. A video training package and experimenter feedback were used to teach participants to engage in CCC with…
Descriptors: Undergraduate Students, Teaching Methods, Problem Solving, Learning Strategies
Tamar David Cohen; Judah Koller; Eric Duku; Anna Kata; Colleen Anderson; Teresa Bennett; Amber Cauwenbergs; Kathleen Dekker; Briano DiRezze; Irene Drmic; Judy Eerkes; Stephen J. Gentles; Kathy Georgiades; Lorraine Hoult; Olaf Kraus De Camargo; Bill Mahoney; Ronit Mesterman; Olivia Ng; Sue Robertson; Caroline Roncadin; Stelios Georgiades – Journal of Autism and Developmental Disorders, 2025
Purpose: In the context of developmental trajectories, the association between adaptive functioning and core autism symptomatology remains unclear. The current study examines the associations of adaptive behavior with autism symptom sub-domains and with different facets of symptom expression. Methods: Participants include 36 children with a recent…
Descriptors: Autism Spectrum Disorders, Symptoms (Individual Disorders), Children, Behavior Patterns
Sanford R. Student – Grantee Submission, 2025
Vertical scales are intended to establish a common metric for scores on test forms targeting different levels of development in a specified domain. They are often constructed using common item, nonequivalent group designs that implicitly rely on the linking items being effectively free from differential item functioning (DIF) or the DIF being…
Descriptors: Scaling, Factor Analysis, Test Bias, Test Items
Joseph A. Rios; Jiayi Deng – Educational and Psychological Measurement, 2024
Rapid guessing (RG) is a form of non-effortful responding that is characterized by short response latencies. This construct-irrelevant behavior has been shown in previous research to bias inferences concerning measurement properties and scores. To mitigate these deleterious effects, a number of response time threshold scoring procedures have been…
Descriptors: Reaction Time, Scores, Item Response Theory, Guessing (Tests)
Ian Jones; Ben Davies – International Journal of Research & Method in Education, 2024
Educational researchers often need to construct precise and reliable measurement scales of complex and varied representations such as participants' written work, videoed lesson segments and policy documents. Developing such scales using can be resource-intensive and time-consuming, and the outcomes are not always reliable. Here we present…
Descriptors: Educational Research, Comparative Analysis, Educational Researchers, Measurement
Gerhard Tutz; Pascal Jordan – Journal of Educational and Behavioral Statistics, 2024
A general framework of latent trait item response models for continuous responses is given. In contrast to classical test theory (CTT) models, which traditionally distinguish between true scores and error scores, the responses are clearly linked to latent traits. It is shown that CTT models can be derived as special cases, but the model class is…
Descriptors: Item Response Theory, Responses, Scores, Models
Prentza, Alexandra; Tafiadis, Dionysios; Chondrogianni, Vasiliki; Tsimpli, Ianthi-Maria – Journal of Psycholinguistic Research, 2022
This study provides a preliminary validation of a Greek Sentence Repetition Task (SRT) with a sample of 110 monolingual and bilingual typically developing (TLD) children and examines the test's ability to distinguish between Greek monolingual children and age-matched Albanian-Greek bilinguals using a Receiver Operating Characteristics (ROC)…
Descriptors: Greek, Sentences, Repetition, Monolingualism
Vainikainen, Mari-Pauliina; Hautamäki, Jarkko – Scandinavian Journal of Educational Research, 2022
Finland is known for its high-performing educational system, but local assessments have shown that performance has declined during the past decade. We report the results of nationally representative learning to learn assessments in which 15-year-olds took an identical test in the same schools in 2001, 2012 and 2017. The results show that the level…
Descriptors: Foreign Countries, Secondary School Students, Learning Processes, Student Evaluation
Zhang, Zhonghua – Journal of Experimental Education, 2022
Reporting standard errors of equating has been advocated as a standard practice when conducting test equating. The two most widely applied procedures for standard errors of equating including the bootstrap method and the delta method are either computationally intensive or confined to the derivations of complicated formulas. In the current study,…
Descriptors: Error of Measurement, Item Response Theory, True Scores, Equated Scores
San Martín, Ernesto; González, Jorge – Journal of Educational and Behavioral Statistics, 2022
The nonequivalent groups with anchor test (NEAT) design is widely used in test equating. Under this design, two groups of examinees are administered different test forms with each test form containing a subset of common items. Because test takers from different groups are assigned only one test form, missing score data emerge by design rendering…
Descriptors: Tests, Scores, Statistical Analysis, Models
Ercikan, Kadriye; McCaffrey, Daniel F. – Journal of Educational Measurement, 2022
Artificial-intelligence-based automated scoring is often an afterthought and is considered after assessments have been developed, resulting in nonoptimal possibility of implementing automated scoring solutions. In this article, we provide a review of Artificial intelligence (AI)-based methodologies for scoring in educational assessments. We then…
Descriptors: Artificial Intelligence, Automation, Scores, Educational Assessment
A Review of the Inquiry and Utility of Mineral and Rock Labs for Use in Introductory Geology Courses
Meryssa Piper; Jessica Frankle; Sophia Owens; Blake Stubbins; Lancen Tully; Katherine Ryker – Journal of Geoscience Education, 2025
Rock and mineral labs are fundamental in traditional introductory geology courses. Successful implementation of these lab activities provides students opportunities to apply content knowledge. Inquiry-based instruction may be one way to increase student success. Prior examination of published STEM labs indicates that geology labs, particularly…
Descriptors: Geology, Introductory Courses, Laboratory Experiments, Inquiry
Yaosheng Lou; Kimberly F. Colvin – Discover Education, 2025
Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…
Descriptors: Educational Research, Data Collection, Performance, Prediction

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