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Arvid Nikolai Kildahl; Hanne Weie Oddli; Sissel Berge Helverschou – Journal of Intellectual Disabilities, 2024
Influence from bias is unavoidable in clinical decision-making, and mental health assessment seems particularly vulnerable. Individuals with intellectual disabilities have increased risk of developing co-occurring mental disorder. Due to the inherent difficulties associated with intellectual disabilities, assessment of mental health in this…
Descriptors: Comorbidity, Mental Disorders, Intellectual Disability, Barriers
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Paul Seedhouse – Language Teaching, 2024
This reflective piece tells the story of how I started out doing Conversation Analysis (CA) and have been transitioning into doing mixed methods for some years now. My basic argument is that language learning talk is too complex a phenomenon to analyse using a single methodology. Specifically, it is extremely difficult to isolate from the…
Descriptors: Ethnography, Research Methodology, Language Acquisition, Language Research
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Brown, Charles L. – Assessment Update, 2023
With increasing canonicity, particularly within higher education assessment, the demonstrable achievement of goals, or the delivery of a program, or as one scholar wryly deemed it, the "manipulation of the independent variable" (Moncher and Prinz 1991, p. 247), are commonly referred to as implementation fidelity or fidelity of…
Descriptors: Fidelity, Meta Analysis, Student Evaluation, Higher Education
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Gutiérrez, Gabriel; Lupton, Ruth; Carrasco, Alejandro; Rasse, Alejandra – Journal of Education Policy, 2023
The process of privatising services historically provided by the state has blurred the boundaries between what is considered to be 'private' and 'public'. However, few efforts have been made in the educational arena to develop tools to measure this process. Most of the previous research has relied on narrow definitions about what is private and…
Descriptors: Public Education, Private Education, Foreign Countries, Measurement
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Tanner, Samuel; McCloskey, Andrea; Miller, Erin – International Journal of Qualitative Studies in Education (QSE), 2023
In this manuscript, we argue that the increasing use of reductive tools born out of neoliberal reforms in education, such as "The Framework for Teaching," a tool for teacher evaluation credited to Charlotte Danielson, limits the possibilities for emergent, improvisational teaching. We consider the broader political landscape of the last…
Descriptors: Teacher Evaluation, Evaluation Methods, Neoliberalism, Political Influences
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Lori L. Montalbano; Sharon Stoerger – Assessment Update, 2025
The post-pandemic expectations of today's students require greater innovation in teaching and learning. Rapidly changing technologies and software applications will drastically change how higher education is structured and disseminated. In this article, the authors examine the use of micro-credentialing, the potential and challenges of Artificial…
Descriptors: Artificial Intelligence, Teaching Methods, Evaluation Methods, Educational Trends
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Pere J. Ferrando; Ana Hernández-Dorado; Urbano Lorenzo-Seva – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals…
Descriptors: Correlation, Factor Analysis, Models, Goodness of Fit
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Sarah L. Nicholson – Teaching Theology & Religion, 2024
Studying Biblical Hebrew is increasingly considered a viable option for students with dyslexia. This presents particular challenges not just for the students but also for their teachers, because the pedagogical methods for teaching ancient languages have traditionally depended on strategies that create difficulties for dyslexic students. This…
Descriptors: Biblical Literature, Hebrew, Dyslexia, Phonology
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van Aert, Robbie C. M. – Research Synthesis Methods, 2023
The partial correlation coefficient (PCC) is used to quantify the linear relationship between two variables while taking into account/controlling for other variables. Researchers frequently synthesize PCCs in a meta-analysis, but two of the assumptions of the common equal-effect and random-effects meta-analysis model are by definition violated.…
Descriptors: Correlation, Meta Analysis, Sampling, Simulation
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Nolt, Kate L.; Leviton, Laura C. – American Journal of Evaluation, 2023
Evidence-based programs and grassroots programs are often adapted during implementation. Adaptations are often hidden, ignored, or punished. Although some adaptations stem from lack of organizational capacity, evaluators report other adaptations happen in good faith or are efforts to better fit the local context. Program implementers, facilitators…
Descriptors: Fidelity, Programming, Program Implementation, Program Evaluation
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Barron, Gary R. S. – Higher Education: The International Journal of Higher Education Research, 2023
The sociologies of quantification, university rankings, and infrastructure are a loosely connected set of scholarly endeavors. Research in these areas typically examines production of certain types of quantification, their effects, and institutionalization. Despite these commonalities, scholars have noted a lack of conceptual coherence, debates on…
Descriptors: Universities, Achievement Rating, Global Approach, Ethnography
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Davis, Jim – Strategies: A Journal for Physical and Sport Educators, 2023
When reevaluating the educational landscape and aiming to incorporate movement into the day, remember that all exercise is not created equal. We recommend creating a model to evaluate the level of student exercise within an organization. The four-level framework discussed in this column can be used to evaluate exercise and sedentariness within an…
Descriptors: Physical Activity Level, Exercise, Models, Evaluation Methods
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Irina Tursunkulova; Suzanne de Castell; Jennifer Jenson – International Association for Development of the Information Society, 2023
The exponential growth of scholarly publications in recent years has presented a daunting challenge for researchers to keep track of relevant articles within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any…
Descriptors: Research, Journal Articles, Artificial Intelligence, Evaluation Methods
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John Jerrim – Review of Education, 2023
Two commonly used approaches to capturing information about teachers are random probability surveys and teacher panels. This paper reviews the strengths and limitations of these two approaches in the context of capturing information about the teacher workforce. A case study is then presented drawing upon recent teacher survey data collections in…
Descriptors: Foreign Countries, Teacher Surveys, Data Collection, Test Construction
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Elgort, Irina – Language Teaching, 2022
What does it mean to learn a word? How can we tell when a sequence of letters or sounds becomes a word in the mind of the learner? While many second language (L2) vocabulary teaching and learning studies continue to use traditional vocabulary tests to measure learning (such as multiple choice, translation, gap-fill), these measures tend to come…
Descriptors: Vocabulary Development, Second Language Learning, Student Evaluation, Evaluation Methods
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