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No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
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Sax, Linda J.; Newhouse, Kaitlin N. S. – New Directions for Institutional Research, 2018
What can we learn by considering differences in women across STEM fields? Following a discussion of theoretical perspectives on disciplinary classification and a review of literature on women across STEM, this chapter uses nationwide survey data to highlight the unique nature of women intending to major in biological science, computer science,…
Descriptors: STEM Education, Gender Differences, Females, Majors (Students)
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von Davier, Matthias – Measurement: Interdisciplinary Research and Perspectives, 2018
This article critically reviews how diagnostic models have been conceptualized and how they compare to other approaches used in educational measurement. In particular, certain assumptions that have been taken for granted and used as defining characteristics of diagnostic models are reviewed and it is questioned whether these assumptions are the…
Descriptors: Criticism, Psychometrics, Diagnostic Tests, Educational Assessment
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Cameron, Michael P. – Education Sciences, 2018
Crowley and Swan (2018) proposed a categorisation of economic citizenship, in which they extend earlier work to include a new type, the discerning economic citizen. I argue that the discerning economic citizen is not a distinct type from the other three (the personally responsible economic citizen, the participatory economic citizen, and the…
Descriptors: Economics Education, Citizenship Education, Citizen Participation, Citizenship Responsibility
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Ocharo, Harriet Nyanchama; Hasegawa, Shinobu – Education and Information Technologies, 2018
Reviewer comments in research articles such as journal papers or dissertations guide students during the revision process to improve the quality of their articles. Our goal is to make the comments more meaningful to the students' revision process. Revision involves implicit cognitive processes and ICT has the potential to make such processes…
Descriptors: Classification, Artificial Intelligence, Research Reports, Revision (Written Composition)
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Sung, Min; Goh, Tze Jui; Tan, Bei Lin Joelene; Chan, Jialei Stephanie; Liew, Hwee Sen Alvin – Journal of Autism and Developmental Disorders, 2018
Our study examines the Diagnostic and Statistical Manual--Fifth Edition (DSM-5) and Diagnostic and Statistical Manual--Fourth Edition, Text Revision (DSM-IV-TR) when applied concurrently against the best estimate clinical diagnoses for 110 children (5.1-19.6 years old) referred for diagnostic assessments of Autism Spectrum Disorder (ASD) in a…
Descriptors: Clinical Diagnosis, Classification, Children, Autism
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Boot, F. H.; Owuor, J.; Dinsmore, J.; MacLachlan, M. – Journal of Intellectual Disability Research, 2018
Background: The World Health Organisation has launched a programme to promote Global Cooperation on Assistive Technology. Its aim is to increase access to high-quality affordable assistive products (AP) for everybody in need. People with intellectual disabilities (ID) are a specific group that could benefit from AP, but use less AP compared to…
Descriptors: Barriers, Assistive Technology, Intellectual Disability, Search Strategies
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Saltmarsh, John; Johnson, Mathew – Journal of Higher Education Outreach and Engagement, 2020
To receive the Carnegie Elective Classification for Community Engagement, campuses must provide extensive documentation indicating a commitment to institutionalizing community engagement. When they do so, the Carnegie Foundation recognizes community engagement as part of the institutional identity of the campus. The Community Engagement…
Descriptors: Classification, Institutional Characteristics, Community Involvement, School Community Relationship
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Gray, Patricia – Australian Journal of Career Development, 2020
What can large datasets tell us about the propensity of workers to disclose their disability? By comparing two large employee-based datasets from the same underlying population, this study aims to identify patterns of disability disclosure across age, gender, education, and public service classification levels. Data are obtained from the…
Descriptors: Foreign Countries, Self Disclosure (Individuals), Disabilities, Employees
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Camacho, Vicente Lopez; de la Guia, Elena; Olivares, Teresa; Flores, M. Julia; Orozco-Barbosa, Luis – IEEE Transactions on Learning Technologies, 2020
Increasing school dropout rates are a problem in many educational systems, with student disengagement being one significant factor. Learning analytics is a new field with a key role in educational institutions in the coming years. It may help make strategic decisions to reduce student disengagement. The use of technology in educational…
Descriptors: Learning Analytics, Learner Engagement, Measurement Equipment, Technology Uses in Education
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Sullivan, Rebecca; Harding, Katherine; Skinner, Ian; Hemsley, Bronwyn – International Journal of Language & Communication Disorders, 2020
Background: Falls are a common safety incident in people with stroke. Studies report that between 14% and 65% of people with stroke fall at least once during their hospital admission. Risk factors for falls in people with stroke have been reported to include neglect, balance and dependence for activities of daily living. Communication disability…
Descriptors: Injuries, Hospitals, Safety, Neurological Impairments
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Minto-García, Aline; Arias-Trejo, Natalia; Vargas-García, Elsa M. – Journal of Psycholinguistic Research, 2020
This study analyzed the types of lexical relations produced by Spanish-speaking older adults with typical aging. A total of 120 older adults completed a word association norms task with 117 stimulus words, which allowed us to explore differences in associations by sex, age, and years of education. We employed two classifications to code the…
Descriptors: Spanish Speaking, Older Adults, Aging (Individuals), Associative Learning
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Aydogdu, Seyhmus – Turkish Online Journal of Distance Education, 2020
The purpose of this research is a comprehensive review of studies towards educational data mining (EDM) in Turkey. For the purpose of this study, graduate theses and articles conducted in Turkey were examined in detail. As a result of the literature review, 48 studies were analyzed in the context of the data mining purpose, the technique used in…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Academic Achievement
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Wind, Stefanie A.; Walker, A. Adrienne – Language Assessment Quarterly, 2020
Scoring procedures for many rater-mediated performance assessments include score resolution procedures in which a third rater adjudicates discrepancies between two raters' ratings of the same performance. There are numerous approaches for calculating resolved scores that involve different combinations of the original and third ratings. Using data…
Descriptors: Scoring, Evaluators, Goodness of Fit, Content Area Writing
Thorndahl, Kathrine Liedtke; Stentoft, Diana – Interdisciplinary Journal of Problem-based Learning, 2020
It is often assumed that problem-based learning is an effective approach for fostering the development and/or improvement of students' critical thinking. To shed light on the connection between problem-based learning and critical thinking, this scoping review maps out how the notion of critical thinking is conceptualized in relation to…
Descriptors: Critical Thinking, Problem Based Learning, Higher Education, Databases
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