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Paul Scovazzo – Chemical Engineering Education, 2025
Simplifying equations via assumptions is integral to the "engineering method." Algebraic scaling helps in teaching the engineering skill of making good assumptions. Algebraic scaling is more than a pedagogical tool. It can create a solution where one was not possible before scaling. Scaling helps in engineering proper design…
Descriptors: Algebra, Scaling, Engineering Education, Mathematics Skills
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Stefanie A. Wind; Benjamin Lugu; Yurou Wang – International Journal of Testing, 2025
Mokken Scale Analysis (MSA) is a nonparametric approach that offers exploratory tools for understanding the nature of item responses while emphasizing invariance requirements. MSA is often discussed as it relates to Rasch measurement theory, which also emphasizes invariance, but uses parametric models. Researchers who have compared and combined…
Descriptors: Item Response Theory, Scaling, Surveys, Evaluation Methods
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Candra Skrzypek – Psychology in the Schools, 2024
Teachers play a critical role in school mental health. They aid in the identification and referral of students in need of mental health services and are key players in implementing interventions. Nevertheless, teachers often lack the education and training needed to support youths' mental health. Increasing teachers' mental health literacy (MHL)…
Descriptors: Teachers, Mental Health, Student Welfare, Multiple Literacies
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Matthew S. McCluskey – Journal of Cases in Educational Leadership, 2024
In their nascent stages, charter schools formed under competing ideologies. In academic circles, charter schools were envisioned as pedagogical laboratories that would allow for educator- and community-driven school improvement. In other circles, charter schools emerged as a free-market reform driven by accountability, choice, and growth. Amid the…
Descriptors: Scaling, Organizational Culture, Values, Charter Schools
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Simon Grey; Neil Gordon – New Directions in the Teaching of Natural Sciences, 2024
It is widely recognised that feedback is an important part of learning: effective feedback should result in a meaningful change in student behaviour (Morris et al., 2021). However, individual feedback takes time to produce, and for large cohorts -- typified by the North of 300 challenge in computing (CPHC, 2019), it can be difficult to do so in a…
Descriptors: Student Evaluation, Evaluation Methods, Scoring Rubrics, Feedback (Response)
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Matthew S. McCluskey – Journal of Cases in Educational Leadership, 2025
In an effort to scale success, many schools codify various practices to replicate them across schools. While such codification and replication can help scale success, scaling success often comes with numerous negative externalities such as a reduction of autonomy and burdens on successful educators. Based on real events and educators, this case…
Descriptors: Instructional Leadership, Barriers, Scaling, Success
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Harold Doran; Testsuhiro Yamada; Ted Diaz; Emre Gonulates; Vanessa Culver – Journal of Educational Measurement, 2025
Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
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Peltier, Corey; Muharib, Reem; Haas, April; Dowdy, Art – Journal of Autism and Developmental Disorders, 2022
In single-case research designs (SCDs) to determine a functional relation a time-series graph is constructed. Preliminary evidence suggest the approach used to scale the vertical axis and the data points per x- to y-axis ratio (DPPXYR) impact visual analysts' decisions. We conducted a systematic review to evaluate time-series graphs published in…
Descriptors: Research Design, Graphs, Scaling, Error Patterns
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Sperandei, Sandro; Bastos, Leonardo Soares; Ribeiro-Alves, Marcelo; Reis, Arianne; Bastos, Francisco Inácio – International Journal of Social Research Methodology, 2023
The aim of this study is to investigate the impact of different logistic regression estimators applied to RDS studies via simulation and the analysis of empirical data. Four simulated populations were created with different connectivity characteristics. Each simulated individual received two attributes, one of them associated to the infection…
Descriptors: Regression (Statistics), Recruitment, Sampling, Simulation
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Sideridis, Georgios; Tsaousis, Ioannis; Ghamdi, Hanan – Educational and Psychological Measurement, 2023
The purpose of the present study was to provide the means to evaluate the "interval-scaling" assumption that governs the use of parametric statistics and continuous data estimators in self-report instruments that utilize Likert-type scaling. Using simulated and real data, the methodology to test for this important assumption is evaluated…
Descriptors: Intervals, Scaling, Computer Software, Likert Scales
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Doran, Harold – Journal of Educational and Behavioral Statistics, 2023
This article is concerned with a subset of numerically stable and scalable algorithms useful to support computationally complex psychometric models in the era of machine learning and massive data. The subset selected here is a core set of numerical methods that should be familiar to computational psychometricians and considers whitening transforms…
Descriptors: Scaling, Algorithms, Psychometrics, Computation
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Wilbers, Stefan; Brankovic, Jelena – Higher Education: The International Journal of Higher Education Research, 2023
Nowadays, university rankings are a familiar phenomenon in higher education all over the world. But how did rankings achieve this status? To address this question, we bring in a historical-sociological perspective and conceptualize rankings as a phenomenon in history. We focus on the United States and identify the emergence of a specific…
Descriptors: Higher Education, Colleges, Institutional Characteristics, Reputation
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Almehrizi, Rashid S. – Educational Measurement: Issues and Practice, 2022
Coefficient alpha reliability persists as the most common reliability coefficient reported in research. The assumptions for its use are, however, not well-understood. The current paper challenges the commonly used expressions of coefficient alpha and argues that while these expressions are correct when estimating reliability for summed scores,…
Descriptors: Reliability, Scores, Scaling, Statistical Analysis
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Hongwen Guo; Matthew S. Johnson; Daniel F. McCaffrey; Lixong Gu – ETS Research Report Series, 2024
The multistage testing (MST) design has been gaining attention and popularity in educational assessments. For testing programs that have small test-taker samples, it is challenging to calibrate new items to replenish the item pool. In the current research, we used the item pools from an operational MST program to illustrate how research studies…
Descriptors: Test Items, Test Construction, Sample Size, Scaling
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Möhring, Wenke; Szubielska, Magdalena – Cognitive Research: Principles and Implications, 2023
The present study examined whether scaling direction and perceptual modality affect children's spatial scaling. Children aged 6-8 years (N = 201) were assigned to a visual, visuo-haptic, and haptic condition in which they were presented with colourful, embossed graphics. In the haptic condition, they were asked to wear a blindfold during the test…
Descriptors: Children, Spatial Ability, Tactual Perception, Visual Perception
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