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Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
Nuttaporn Lawthong; Warunee Lapanachokdee; Vorachet Saejea; Purin Thepsathit – International Journal of Educational Management, 2025
Purpose: Drawing from the equitable education fund (EEF) launching 6Qs innovation in the teacher school quality program (TSQP) for small and medium schools, this research aims to analyze the effect size of the ordinary national educational test (O-NET) scores between TSQP schools that implement 6Qs innovation and non-TSQP schools and explain the…
Descriptors: Educational Innovation, Academic Achievement, Foreign Countries, Effect Size
Nazari, Sanaz; Leite, Walter L.; Huggins-Manley, A. Corinne – Journal of Experimental Education, 2023
The piecewise latent growth models (PWLGMs) can be used to study changes in the growth trajectory of an outcome due to an event or condition, such as exposure to an intervention. When there are multiple outcomes of interest, a researcher may choose to fit a series of PWLGMs or a single parallel-process PWLGM. A comparison of these models is…
Descriptors: Growth Models, Statistical Analysis, Intervention, Comparative Analysis
Saregar, Antomi; Cahyanti, Umi Nur; Misbah; Susilowati, Nur Endah; Anugrah, Adyt; Muhammad, Nurlaela – International Journal of Evaluation and Research in Education, 2021
The research has been carried out at the Islamic junior high school of East Lampung to determine the effectiveness of the Connecting, Organizing, Reflecting, and Extending (CORE) learning model on students' creative thinking skills on sound waves topic. The research method used was a quasi-experimental design with Non-Equivalent Control Group…
Descriptors: Models, Instructional Effectiveness, Creative Thinking, Islam
Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2024
Analyzing heterogeneous treatment effects (HTE) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and pre-intervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
Amy Adair; Ellie Segan; Janice Gobert; Michael Sao Pedro – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards, such as the Next Generation Science Standards (NGSS). However, students often struggle with these two intersecting practices, particularly when developing mathematical models about scientific phenomena. Formative…
Descriptors: Artificial Intelligence, Mathematical Models, Science Process Skills, Inquiry
Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
James Soland; Yeow Meng Thum – Annenberg Institute for School Reform at Brown University, 2019
Effect sizes in the Cohen's d family are often used in education to compare estimates across studies, measures, and sample sizes. For example, effect sizes are used to compare gains in achievement students make over time, either in pre- and post-treatment studies or in the absence of intervention, such as when estimating achievement gaps. However,…
Descriptors: Effect Size, Academic Achievement, Achievement Gains, Gender Differences
Goksu, Idris; Islam Bolat, Yusuf – Review of Education, 2021
In this meta-analysis, the aim is to determine the overall effect of the ARCS (attention, relevance, confidence, satisfaction) model of motivation on students' academic achievement, motivation, attention, relevance, confidence and satisfaction. Additionally, the effect of the model is analysed according to the learning environment in which the…
Descriptors: Models, Student Motivation, Academic Achievement, Attention
Kim, Dong-In; Julian, Marc; Boughton, Keith; Phenow, Aurore – Online Submission, 2022
Pandemic-related policies are typically developed by districts and translated to all schools for implementation. Understanding the degree to which the pandemic impacted school-level performance would provide additional perspective for researchers looking to help district and school officials move forward. The main purpose of this study is to…
Descriptors: Pandemics, COVID-19, Academic Achievement, English
Ortega, Lorena; Malmberg, Lars-Erik; Sammons, Pam – Educational Evaluation and Policy Analysis, 2018
We investigated teacher effects (magnitude, predictors, and cumulativeness) on primary students' achievement trajectories in Chile, using multilevel cross-classified (accelerated) growth models (four overlapping cohorts, spanning Grades 3 to 8; n = 19,704 students, and 851 language and 812 mathematics teachers, in 156 schools). It was found that…
Descriptors: Foreign Countries, Teacher Effectiveness, Academic Achievement, Elementary School Teachers
Sarama, Julie; Clements, Douglas H. – Journal of Cognitive Education and Psychology, 2021
Scaling up educational interventions in the STEM (Science, Technology, Engineering, and Mathematics) field is critical but under-researched. We review and draw implications from a series of studies investigating the long-range impact of an implementation of an early mathematics scale-up model based on learning trajectories. Lasting effectiveness…
Descriptors: Program Effectiveness, Intervention, Mathematics Education, Preschool Education
Weeks, Jonathan P. – Measurement: Interdisciplinary Research and Perspectives, 2018
Vertical scales are widely used in educational assessment as a basis for considering grade-to-grade changes in student performance. Typically, the underlying construct is assumed to be essentially unidimensional; however, if there is a change in the measured construct across grades, this assumption may be untenable. Developing a multidimensional…
Descriptors: Multidimensional Scaling, Reading Tests, Reading Skills, Basic Skills
Cheng, Eddie W. L. – Educational Psychology, 2016
Professional training and development is a major component of updating teachers' pedagogical knowledge and skills. However, transferring such knowledge and skill may not always be successful. Based on the theory of planned behaviour (TPB), the present study has developed a model specifying the factors affecting transfer maintenance intention and…
Descriptors: Foreign Countries, Elementary School Teachers, Secondary School Teachers, Professional Development
Lamb, Richard; Akmal, Tariq; Petrie, Kaylan – Journal of Research in Science Teaching, 2015
Successful STEM learning depends on the interaction of affect, cognition, and application of ideas. Simply put students who are unwilling to persist in STEM based endeavors do not suddenly develop into scientists, mathematicians, engineers or computer scientists, nor do they seek out STEM related courses or STEM based careers. The purpose of this…
Descriptors: STEM Education, Educational Trends, Schemata (Cognition), Psychometrics