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Fangxing Bai; Ben Kelcey – Society for Research on Educational Effectiveness, 2024
Purpose and Background: Despite the flexibility of multilevel structural equation modeling (MLSEM), a practical limitation many researchers encounter is how to effectively estimate model parameters with typical sample sizes when there are many levels of (potentially disparate) nesting. We develop a method-of-moment corrected maximum likelihood…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Sample Size, Faculty Development
Howard, Steven J.; Vasseleu, E.; Neilsen-Hewett, C.; de Rosnay, M.; Williams, K. E. – Child & Youth Care Forum, 2022
Background: Over the past few decades early self-regulation has been identified as foundational to positive learning and wellbeing trajectories. As a consequence, a wide range of approaches have been developed to capture children's developmental progress in self-regulation. Little is known, however, about whether and which of these are reliable…
Descriptors: Prediction, School Readiness, Self Control, Preschool Children
Reform Support Network, 2015
This publication summarizes the key discussion from experts in the field of measuring student growth during a convening held February 2015. Experts heard about two emerging approaches to measuring growth: Portfolios of student work samples and unit value-added models that provide teachers with timely and actionable feedback that they can use to…
Descriptors: Evaluation Methods, Portfolio Assessment, Teacher Evaluation, Teacher Effectiveness
Robert Meyer; Sara Hu; Michael Christian – Society for Research on Educational Effectiveness, 2022
This paper develops models to measure growth in student achievement with a focus on the possibility of differential growth in achievement for low and high-achieving students. We consider a gap-closing model that evaluates the degree to which students in a target group -- students in the bottom quartile of measured achievement -- perform better…
Descriptors: Academic Achievement, Achievement Gap, Models, Measurement Techniques
Zorza, Juan P.; Marino, Julián; Acosta Mesas, Alberto – Journal of Early Adolescence, 2019
In this study, we explored the predictive role of behavioral measures of Executive Functions (EFs) and a self-report measure of Effortful Control (EC) on the academic performance of early adolescents. We also analyzed the mediating role of self-reported empathy and social behavior rated by peers (i.e., prosocial behavior and social preference) and…
Descriptors: Predictor Variables, Executive Function, Measurement Techniques, Social Behavior
Rollinson, Joseph; Brunskill, Emma – International Educational Data Mining Society, 2015
At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…
Descriptors: Prediction, Models, Educational Policy, Intelligent Tutoring Systems
Zhou, Jianhua; Huebner, E. Scott; Tian, Lili – School Mental Health, 2020
Based on the interplay between achievement goals theory and social comparison theory, our study focused on how achievement goals relate to subjective well-being in the school context in Chinese adolescents. Specifically, we addressed a theoretical model that specified that academic social comparisons and self-esteem would serve as mediators in the…
Descriptors: Longitudinal Studies, Well Being, Goal Orientation, Self Esteem
Harwell, Michael – National Education Policy Center, 2018
Measures of socioeconomic status (SES) are widely used in educational research and policy applications, in large part due to overwhelming evidence linking SES to student achievement. SES is usually conceptualized as an unobservable factor--a construct--measured using variables such as parental education, occupation, income/wealth, and home…
Descriptors: Socioeconomic Status, Academic Achievement, Correlation, Research Methodology
Anderman, Eric M.; Gimbert, Belinda; O'Connell, Ann A.; Riegel, Lisa – British Journal of Educational Psychology, 2015
Background: There is much interest in assessing growth in student learning. Assessments of growth have important implications and affect many policy decisions at many levels. Aims: In the present article, we review some of the different approaches to measuring growth and examine the implications of their usage. Sample: Samples used in research on…
Descriptors: Academic Achievement, Achievement Gains, Measurement Techniques, Public Schools
Chafloque Céspedes, Raquel; Vara-Horna, Arístides; Lopez-Odar, Dennis; Santi-Huaranca, Inés; Diaz-Rosillo, Alberto; Asencios-Gonzalez, Zaida – Journal of Educational Psychology - Propositos y Representaciones, 2018
The objective of this research was to determine the effect of absenteeism and presenteeism on the academic performance of undergraduate students from the Business and Engineering Schools in Peruvian Universities. The study is based on a self-report survey of 8,203 students from the business and engineering schools of Peruvian universities. Scales…
Descriptors: Academic Achievement, Attendance, Student Surveys, Student Attitudes
Richey, J. Elizabeth; Bernacki, Matthew L.; Belenky, Daniel M.; Nokes-Malach, Timothy J. – Journal of Experimental Education, 2018
Models of achievement goals suggest that different tasks and contexts influence the goals students adopt at a given time. However, many studies of achievement goals rely on measures assessed at the class level, analyze results with a variable-centered approach, and employ self-report questionnaires, which may reduce understanding of the contextual…
Descriptors: Grade 7, Grade 8, Middle School Students, Context Effect
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged
Shukla, Kathan D.; Waasdorp, Tracy E.; Lindstrom Johnson, Sarah; Orozco Solis, Mercedes Gabriela; Nguyen, Amanda J.; Rodríguez, Cecilia Colunga; Bradshaw, Catherine P. – Journal of Psychoeducational Assessment, 2019
School climate is an important construct for guiding violence prevention efforts in U.S. schools, but there has been less consideration of this concept in its neighboring country Mexico, which has a higher prevalence of violence. The U.S. Department of Education outlined a three-domain conceptualization of school climate (i.e., safe and supportive…
Descriptors: Educational Environment, Violence, Factor Analysis, Error of Measurement
Brady, Michael P. – Educational Review, 2021
Teacher preparation programmes (TPPs) find many ways to shape the development of their teacher candidates while bridging the research to practice gap in university and school partnerships. Recently, accountability models built on high-stakes standardised student assessments (Value-Added Models [VAM]) have been mandated as a way to evaluate the…
Descriptors: Teacher Education Programs, Preservice Teacher Education, Value Added Models, Teacher Effectiveness
Mega, Carolina; Ronconi, Lucia; De Beni, Rossana – Journal of Educational Psychology, 2014
The authors propose a theoretical model linking emotions, self-regulated learning, and motivation to academic achievement. This model was tested with 5,805 undergraduate students. They completed the Self-Regulated Learning, Emotions, and Motivation Computerized Battery (LEM-B) composed of 3 self-report questionnaires: the Self-Regulated Learning…
Descriptors: Academic Achievement, Motivation, Active Learning, Emotional Response