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Akdere, Mesut; Jiang, Yeling; Lobo, Flavio Destri – European Journal of Training and Development, 2022
Purpose: As new technologies such as immersive and augmented platforms emerge, training approaches are also transforming. The virtual reality (VR) platform provides a completely immersive learning experience for simulated training. Despite increased prevalence of these technologies, the extent literature is lagging behind in terms of evaluating…
Descriptors: Training, Computer Simulation, Educational Technology, Program Evaluation
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Bousnguar, Hassan; Najdi, Lotfi; Battou, Amal – Education and Information Technologies, 2022
Forecasting the enrollments of new students in bachelor's systems became an urgent desire in the majority of higher education institutions. It represents an important stage in the process of making strategic decisions for new course's accreditation and optimization of resources. To gain a deep view of the educational forecasting context, the most…
Descriptors: Higher Education, Undergraduate Students, Enrollment Management, Strategic Planning
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Schmidt, Matthew; Hobbie, Hannes; Hauser, Philipp – International Journal of Sustainability in Higher Education, 2022
Purpose: The purpose of this paper is to develop an analytical framework toward facilitating the quantitative measurement of interdisciplinary understanding regarding sustainable energy systems with an application in the area of capacity-building projects in higher education. Design/methodology/approach: The analytical framework is developed using…
Descriptors: Sustainability, Capacity Building, Program Descriptions, Interdisciplinary Approach
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Stradiotová, Eva; Némethová, Ildiko; Štefancík, Radoslav – Advanced Education, 2022
The article aims to find out the impact of online education on on-site education by analyzing the results achieved by the respondents in the tests. We used descriptive statistical methods to analyze the data. The reason was that such methods allow us to better understand the correlation between the results obtained in traditional testing and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Distance Education
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Brady, L. Beth – Journal of Special Education, 2022
Classroom environments were analyzed to better understand adult language modeling rates and whether teacher certification practices contributed to differences with learners with deafblindness (DB). Student characteristics were also examined in relation to communication rates. When there is a dual sensory loss, access to tactile and visual…
Descriptors: Statistical Analysis, Classroom Communication, Classroom Environment, Students with Disabilities
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Vance, Eric A.; Glimp, David R.; Pieplow, Nathan D.; Garrity, Jane M.; Melbourne, Brett A. – Statistics Education Research Journal, 2022
Despite growing calls to develop data science students' ethical awareness and expand human-centered approaches to data science education, introductory courses in the field remain largely technical. A new interdisciplinary data science program aims to merge STEM and humanities perspectives starting at the very beginning of the data science…
Descriptors: Humanities, Humanities Instruction, Statistics Education, Interdisciplinary Approach
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Cyrenne, Philippe; Chan, Alan – Canadian Journal of Higher Education, 2022
The ability of universities and colleges to predict the success of admitted students continues to be a key concern of higher education officials. Apart from a desire to see students have successful academic careers, there is also the fiscal reality of greater tuition revenues providing needed support for university budgets. Using administrative…
Descriptors: College Students, Academic Achievement, Predictor Variables, Statistical Analysis
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Billion, Lara Kristina – EURASIA Journal of Mathematics, Science and Technology Education, 2022
This paper focuses on the actions of learners on digital and analogue materials while dealing with a statistical problem. To investigate the learners' actions, a semiotic perspective of mathematical learning according to C. S. Peirce is used, since in this perspective learning mathematics is described as visible activities on diagrams. Through a…
Descriptors: Semiotics, Mathematics Instruction, Grade 3, Elementary School Students
Carter, Rose A. – ProQuest LLC, 2022
This study aimed to assess the effectiveness of existing insolvency predictive models employed for non-profit Higher Education Institutions (HEIs) and test a proposed predictive model utilizing statistical and ratio analysis by comparing HEIs in operations with those that closed from 2017 to 2020. The researcher incorporated a non-experimental,…
Descriptors: Prediction, Models, Higher Education, Nonprofit Organizations
Benjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Grantee Submission, 2022
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
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Haardörfer, Regine – Health Education & Behavior, 2019
In this article, Regine Haardörfer outlines five general steps taken by good data analysts and how they need to be theory-driven data-informed. She uses these to discuss some issues and propose approaches to promote better data analysis and reporting. The proposed steps to rigorous data analysis are to: (1) create an a priori data analysis plan;…
Descriptors: Data Analysis, Theories, Social Science Research, Behavioral Science Research
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Sorjonen, Kimmo; Melin, Bo; Ingre, Michael – Educational and Psychological Measurement, 2019
The present simulation study indicates that a method where the regression effect of a predictor (X) on an outcome at follow-up (Y1) is calculated while adjusting for the outcome at baseline (Y0) can give spurious findings, especially when there is a strong correlation between X and Y0 and when the test-retest correlation between Y0 and Y1 is…
Descriptors: Predictor Variables, Regression (Statistics), Correlation, Error of Measurement
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Pérez-Ferreirós, Alexandra; Kalén, Anton; Gómez, Miguel-Ángel; Rey, Ezequiel – Research Quarterly for Exercise and Sport, 2019
In basketball, game-related statistics are the most common measure of performance. However, the literature assessing their reliability is scarce. Purpose: Analyze the number of games required to obtain a good relative and absolute reliability of teams' game-related statistics. Method: A total of 884 games from the 2015-2016 to 2017-2018 seasons of…
Descriptors: Team Sports, Statistics, Reliability, Foreign Countries
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Zumbo, Bruno D.; Kroc, Edward – Educational and Psychological Measurement, 2019
Chalmers recently published a critique of the use of ordinal a[alpha] proposed in Zumbo et al. as a measure of test reliability in certain research settings. In this response, we take up the task of refuting Chalmers' critique. We identify three broad misconceptions that characterize Chalmers' criticisms: (1) confusing assumptions with…
Descriptors: Test Reliability, Statistical Analysis, Misconceptions, Mathematical Models
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Cunningham, George B.; Ahn, Na Young – Measurement in Physical Education and Exercise Science, 2019
Moderators are variables that affect the relationship between a predictor and outcome. They help to clarify otherwise ambiguous patterns of results, extend theory, and signal the growth of a field. Given the importance of moderators, the authors offer an overview of methodological and statistical considerations for testing moderation and then…
Descriptors: Athletics, Research, Statistical Analysis, Research Methodology
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