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Jason C. Chow; Jennifer R. Ledford; Sienna Windsor; Paige Bennett – Exceptional Children, 2023
The purpose of this study is to present a set of empirically derived effect size distributions in order to provide field-based benchmarks for assessing the relative effects of interventions aimed at reducing challenging behavior or increasing engagement for young children with and without disabilities. We synthesized 192 single-case designs that…
Descriptors: Behavior Problems, Intervention, Prediction, Learner Engagement
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Han Du; Brian Keller; Egamaria Alacam; Craig Enders – Grantee Submission, 2023
In Bayesian statistics, the most widely used criteria of Bayesian model assessment and comparison are Deviance Information Criterion (DIC) and Watanabe-Akaike Information Criterion (WAIC). A multilevel mediation model is used as an illustrative example to compare different types of DIC and WAIC. More specifically, the study compares the…
Descriptors: Bayesian Statistics, Models, Comparative Analysis, Probability
Matthew Jannetti; Amy Carroll-Scott; Erikka Gilliam; Irene Headen; Maggie Beverly; Félice Lê-Scherban – Field Methods, 2023
Place-based initiatives often use resident surveys to inform and evaluate interventions. Sampling based on well-defined sampling frames is important but challenging for initiatives that target subpopulations. Databases that enumerate total population counts can produce overinclusive sampling frames, resulting in costly outreach to ineligible…
Descriptors: Sampling, Probability, Definitions, Prediction
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Michelle Conrad; Michael Pantleo; Krystle Gremaud; Shelby Cobb – Career and Technical Education Research, 2023
This quantitative study was conducted to determine if a relationship exists between former Missouri Career and Technical Education (CTE) concentrators' Technical Skills Assessment (TSA) performance and attaining related placement after high school, specifically analyzing for differences among racial/ethnic and socioeconomic status (SES) groups.…
Descriptors: Race, Ethnicity, Socioeconomic Status, Vocational Education
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Bee Leng Chua – Interdisciplinary Journal of Problem-based Learning, 2023
Path analysis is used to provide estimates of the magnitude and significance of hypothesized causal connections among sets of variables displayed using path diagrams. It is an extension of multiple regression analysis and holds strength as a methodology as it allows researchers to assess both direct and indirect effects of multiple independent…
Descriptors: Prediction, Problem Based Learning, Preservice Teachers, Learning Strategies
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Seyma N. Yildirim-Erbasli; Okan Bulut – Journal of Applied Testing Technology, 2023
The purpose of this study was to develop predictive models of student test-taking engagement in computerized formative assessments. Using different machine learning algorithms, the models utilize student data with item responses and response time to detect aberrant test behaviors such as rapid guessing. The dataset consisted of 7,602 students…
Descriptors: Computer Assisted Testing, Formative Evaluation, Prediction, Models
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Asli Akdeniz Kudubes; Yagmur Sezer Efe – Psychology in the Schools, 2024
This study was conducted as a descriptive and cross-sectional study to examine the effects of game addiction and social media addiction on the lifestyle of Turkish adolescents. The study was conducted between May to June 2022, involved 1116 adolescents in the 13-18 age group receiving education in three high schools situated in the Western region…
Descriptors: Social Media, Addictive Behavior, Telecommunications, Handheld Devices
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Muhammet Ibrahim Akyürek – Education 3-13, 2024
The aim of the study is to determine the level of relationship between school climate and happiness according to student perceptions. This research is in the descriptive relational survey model. The sample of the study consists of a total of 539 students studying in public primary schools in the districts located in Ankara, the capital city of…
Descriptors: Foreign Countries, Educational Environment, Psychological Patterns, Student Attitudes
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Noura Zeroual; Mahnane Lamia; Mohamed Hafidi – Education and Information Technologies, 2024
Traditional education systems do not provide students with much freedom to choose the right training of study that suits them, which leads on long-term to the negative effects not only on social, economic and mental' well-being of student, but also will have a negative effect on the quality of the work produced by this student in the future. In…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Computer Science Education
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Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Structural equation modeling (SEM) is a statistical method widely used in educational research to investigate relationships between variables. SEM models are typically constructed based on theoretical foundations and assessed through fit indices. However, a well-fitting SEM model alone is not sufficient to verify the causal inferences underlying…
Descriptors: Structural Equation Models, Statistical Analysis, Educational Research, Causal Models
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Yuan Hsiao; Lee Fiorio; Jonathan Wakefield; Emilio Zagheni – Sociological Methods & Research, 2024
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for…
Descriptors: Migration, Migration Patterns, Data Collection, Data Analysis
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Marie-Amélie Martinie; Rebecca Shankland – Social Psychology of Education: An International Journal, 2024
The present study investigated whether study engagement is predicted by personal resources (i.e., self-efficacy and psychological flexibility) and achievement goals. A total of 223 French first-year humanities and social sciences students were invited to complete an online questionnaire comprising scales measuring the three predictors. The results…
Descriptors: Goal Orientation, Self Efficacy, Academic Achievement, Psychological Patterns
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Guiqin Liang; Chunsong Jiang; Qiuzhe Ping; Xinyi Jiang – Interactive Learning Environments, 2024
With long-term impact of COVID-19 on education, online interactive live courses have been an effective method to keep learning and teaching from being interrupted, attracting more and more attention due to their synchronous and real-time interaction. However, there is no suitable method for predicting academic performance for students…
Descriptors: Academic Achievement, Prediction, Engineering Education, Online Courses
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Xueli Deng – Educational Psychology, 2024
In the context that many students have been fed up with rote learning or mechanical learning in history, this three-wave longitudinal study with one-year intervals examined the potential role of historical empathy in facilitating history learning. A sample of 821 middle school students participated (aged from 11 to 15 years, M = 13.47 years, SD =…
Descriptors: History Instruction, Empathy, Longitudinal Studies, Learner Engagement
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Jihoon Kang; Jina Kim – Journal of Research in Science Teaching, 2024
Science learning takes place not only in the context of science class but also after class. Students' internal forms of motivation, such as curiosity and interest, affect the entire science learning process in both in-class and after-class contexts. In addition, both stable existing learner characteristics, such as science curiosity and interest…
Descriptors: Correlation, Science Instruction, Grade 5, Elementary School Students
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