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Van Camp, Carole M.; Batchelder, Sydney R.; Irwin Helvey, Casey – Journal of Applied Behavior Analysis, 2022
Children should engage in 1 hr/day of moderate-to-vigorous physical activity (MVPA) that results in increased heart rates (HRs) (CDC, 2022). However, precise individualized HR criteria for MVPA are not provided, and it is unclear whether observed behaviors classified as MVPA are associated with elevated HRs indicative of MVPA. The current study…
Descriptors: Metabolism, Physical Activity Level, Identification, Classification
Yuanfang Liu; Mark H. C. Lai; Ben Kelcey – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance holds when a latent construct is measured in the same way across different levels of background variables (continuous or categorical) while controlling for the true value of that construct. Using Monte Carlo simulation, this paper compares the multiple indicators, multiple causes (MIMIC) model and MIMIC-interaction to a…
Descriptors: Classification, Accuracy, Error of Measurement, Correlation
Nesrin Hark Söylemez – SAGE Open, 2025
The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…
Descriptors: Preservice Teachers, Teacher Education Programs, Cultural Awareness, Gender Differences
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Xiangdong, Wu – Educational Philosophy and Theory, 2022
The axiological research in contemporary Chinese Marxism has always oriented itself towards the practice of reform and opening up, profoundly expressing the practical logic of reform and opening up by way of the theoretical logic of axiology. First, contemporary Chinese axiology focuses on the concept of value and reveals its essence, it explores…
Descriptors: Foreign Countries, Social Change, Social Systems, Asian Culture
Mende, Janne – Qualitative Research Journal, 2022
Purpose: This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions. Design/methodology/approach: EQCA supplements the method of qualitative content analysis,…
Descriptors: International Organizations, Content Analysis, Grounded Theory, Correlation
Chung, Seungwon; Houts, Carrie – Measurement: Interdisciplinary Research and Perspectives, 2020
Advanced modeling of item response data through the item response theory (IRT) or item factor analysis frameworks is becoming increasingly popular. In the social and behavioral sciences, the underlying structure of tests/assessments is often multidimensional (i.e., more than 1 latent variable/construct is represented in the items). This review…
Descriptors: Item Response Theory, Evaluation Methods, Models, Factor Analysis
Thomas, McKinley; Tillman, Paula – Journal of Alcohol and Drug Education, 2021
Relative to motor vehicle drivers/occupants, pedestrians are at greater risk for morbidity and mortality, with drug use posited as a primary risk factor. This study aimed to explore the scope of drug use among pedestrian fatalities in the United States between 2008-2017. Data reduction yielded 36,389 cases reported by Fatality Analysis Reporting…
Descriptors: Motor Vehicles, Traffic Safety, Accidents, Risk
de Carvalho, Walisson Ferreira; Zárate, Luis Enrique – International Journal of Information and Learning Technology, 2021
Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…
Descriptors: Causal Models, Algorithms, Learning Analytics, Correlation
Farooq Salman Alani; M. Firdouse Rahman Khan; Diana F. Manuel – International Journal of Educational Management, 2018
Purpose: The purpose of this paper is to analyze and explore the effectiveness of using balanced scorecard (BSC) as a management tool in the evaluation of the performance and thereby the quality services of a University. Design/methodology/approach: The survey was conducted among the various faculties and departments Sohar University through a…
Descriptors: Foreign Countries, Strategic Planning, Guidelines, Institutional Evaluation
Raj, Gaurav; Mahajan, Manish; Singh, Dheerendra – International Journal of Web-Based Learning and Teaching Technologies, 2020
In secure web application development, the role of web services will not continue if it is not trustworthy. Retaining customers with applications is one of the major challenges if the services are not reliable and trustworthy. This article proposes a trust evaluation and decision model where the authors have defined indirect attribute, trust,…
Descriptors: Trust (Psychology), Models, Decision Making, Computer Software
Malec, Wojciech; Krzeminska-Adamek, Malgorzata – Practical Assessment, Research & Evaluation, 2020
The main objective of the article is to compare several methods of evaluating multiple-choice options through classical item analysis. The methods subjected to examination include the tabulation of choice distribution, the interpretation of trace lines, the point-biserial correlation, the categorical analysis of trace lines, and the investigation…
Descriptors: Comparative Analysis, Evaluation Methods, Multiple Choice Tests, Item Analysis
Earthman, Glen I. – Educational Planning, 2018
Research in the field of Education has produced a corpus of studies dealing with the specific relationship between school building condition and student achievement reporting positive results. Yet, studies have been completed reporting no significant difference in achievement scores from students in buildings in poor and good condition. The…
Descriptors: Correlation, School Buildings, Academic Achievement, Scores
Musthofa, Tulus – Eurasian Journal of Applied Linguistics, 2022
Common European Framework of Reference (CEFR) is an international standard to measure learners' language abilities on a six-point scale, A1 for beginners up to C2 for those who have mastered a language. this study attempted to examine the implementation of the CEFR policy in learning Arabic in Indonesia at al levels, beginning form curriculum…
Descriptors: Arabic, Semitic Languages, Second Language Learning, Second Language Instruction
Hannah L. Barton – ProQuest LLC, 2021
Executive functioning abilities have been associated with important behaviors such as adaptive skills and cognitive abilities in children with and without disabilities. Executive functioning has primarily been measured as a strong predictor of later abilities in children with neurodevelopmental disabilities, such as attention-deficit/…
Descriptors: Executive Function, Developmental Delays, Attention Deficit Hyperactivity Disorder, Predictor Variables

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