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DeAngelis, Karen J.; Brent, Brian O.; Xu, Caiqun – Journal of Education Finance, 2022
There is mounting evidence that school counselors positively affect students' academic and behavioral outcomes. Yet, federal policymakers do not seem to view school counselors as principal agents of school improvement, and state policies vary widely regarding their availability. Thus far, little empirical work documents the distribution of school…
Descriptors: School Counselors, Educational Legislation, Elementary Secondary Education, Federal Legislation
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Maag, John W.; Kauffman, James M. – Critical Questions in Education, 2022
The controversy over the use labels for students who receive special education services under the Individuals with Disabilities Education Act has been raging for decades. Do labels really serve an educational purpose? Do they stigmatize students? Do disabilities really exist? Are they just part of the normal distribution of human characteristics,…
Descriptors: Behavior Disorders, Emotional Disturbances, Labeling (of Persons), Language Usage
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Raykov, Tenko; Doebler, Philipp; Marcoulides, George A. – Measurement: Interdisciplinary Research and Perspectives, 2022
This article is concerned with the large-sample parameter estimator behavior in applications of Bayesian confirmatory factor analysis in behavioral measurement. The property of strong convergence of the popular Bayesian posterior median estimator is discussed, which states numerical convergence with probability 1 of the resulting estimates to the…
Descriptors: Bayesian Statistics, Measurement Techniques, Correlation, Factor Analysis
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Salehzadeh, Roya; Rivera, Brian; Man, Kaiwen; Jalili, Nader; Soylu, Firat – Journal of Numerical Cognition, 2023
In this study, we used multivariate decoding methods to study processing differences between canonical (montring and count) and noncanonical finger numeral configurations (FNCs). While previous research investigated these processing differences using behavioral and event-related potentials (ERP) methods, conventional univariate ERP analyses focus…
Descriptors: Cognitive Processes, Human Body, Artificial Intelligence, Mathematics Skills
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Cai, Tianji; Xia, Yiwei; Zhou, Yisu – Sociological Methods & Research, 2021
Analysts of discrete data often face the challenge of managing the tendency of inflation on certain values. When treated improperly, such phenomenon may lead to biased estimates and incorrect inferences. This study extends the existing literature on single-value inflated models and develops a general framework to handle variables with more than…
Descriptors: Statistical Distributions, Probability, Statistical Analysis, Statistical Bias
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Lu, Benjamin; Ben-Michael, Eli; Feller, Avi; Miratrix, Luke – 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
Daniel R. Cohen; Crystal Lewis; Colleen L. Eddy; Lauren Henry; Caroline Hodgson; Francis L. Huang; Wendy M. Reinke; Keith C. Herman – Grantee Submission, 2023
The use of suspension practices is extremely widespread but few studies have examined the behavioral and psychological outcomes associated with their application. Using a predominantly Black sample of 788 middle school students from the Midwestern United States, the current study evaluates the relations between in-school suspensions (ISS) and…
Descriptors: Middle School Students, Blacks, African American Students, Suspension
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Daniel R. Cohen; Crystal Lewis; Colleen L. Eddy; Lauren Henry; Caroline Hodgson; Francis L. Huang; Wendy M. Reinke; Keith C. Herman – School Psychology Review, 2023
The use of suspension practices is extremely widespread but few studies have examined the behavioral and psychological outcomes associated with their application. Using a predominantly Black sample of 788 middle school students from the Midwestern United States, the current study evaluates the relations between in-school suspensions (ISS) and…
Descriptors: Middle School Students, Blacks, African American Students, Suspension
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Lewis, Alan S.; van Schalkwyk, Gerrit Ian – Journal of Autism and Developmental Disorders, 2020
The prevalence of ASD remains relatively stable across the lifespan, necessitating a quantitative understanding of how intervention clinical research is applied across age groups. Here we report a systematic review of treatment studies between 2013 and 2017, enrolling 11,213 subjects with ASD in 218 studies. Individuals under 18 years old…
Descriptors: Autism, Pervasive Developmental Disorders, Adolescents, Children
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Löffler, Christoph; Frischkorn, Gidon T.; Rummel, Jan; Hagemann, Dirk; Schubert, Anna-Lena – Journal of Intelligence, 2022
The worst performance rule (WPR) describes the phenomenon that individuals' slowest responses in a task are often more predictive of their intelligence than their fastest or average responses. To explain this phenomenon, it was previously suggested that occasional lapses of attention during task completion might be associated with particularly…
Descriptors: Attention Control, Reaction Time, Intelligence, Task Analysis
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Atasoy, Murat; Altun, Meryem – Journal of Education and Learning, 2018
This study intended to measure the cognitive behavioral physical activity levels of students aged 17-18 enrolled at different schools. The study population was comprised of the 17-18 age group and the study sample was comprised of 159 students in total n:76 (47.8%) enrolled at 15 Temmuz Sehitler Sports High School and n:83 (52.2%) enrolled at…
Descriptors: Late Adolescents, High School Students, Physical Activity Level, Athletics
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Kuijpers, Renske E.; Visser, Ingmar; Molenaar, Dylan – Journal of Educational and Behavioral Statistics, 2021
Mixture models have been developed to enable detection of within-subject differences in responses and response times to psychometric test items. To enable mixture modeling of both responses and response times, a distributional assumption is needed for the within-state response time distribution. Since violations of the assumed response time…
Descriptors: Test Items, Responses, Reaction Time, Models
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Montuoro, Paul; Lewis, Ramon – Journal of Educational Research, 2018
Recent studies have shown that student behavioral engagement is malleable. For example, these studies have reported that students who feel emotionally supported by their teachers experience higher levels of behavioral engagement. The authors contributed to this research by investigating behavioral disengagement among innocent bystanders during…
Descriptors: Classroom Techniques, Teacher Student Relationship, Teacher Behavior, Aggression
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Monroe, Scott – Journal of Educational and Behavioral Statistics, 2021
This research proposes a new statistic for testing latent variable distribution fit for unidimensional item response theory (IRT) models. If the typical assumption of normality is violated, then item parameter estimates will be biased, and dependent quantities such as IRT score estimates will be adversely affected. The proposed statistic compares…
Descriptors: Item Response Theory, Simulation, Scores, Comparative Analysis
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Abdullahi Yusuf; Norah Md Noor; Shamsudeen Bello – Education and Information Technologies, 2024
Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…
Descriptors: Learning Analytics, Student Behavior, Video Technology, Classification
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