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Grantee Submission166
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Jonathan Schweig; Andrew McEachin; Megan Kuhfeld; Louis T. Mariano; Melissa Kay Diliberti – Grantee Submission, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Wolfgang Weidermann; Keith C. Herman; Wendy Reinke; Alexander von Eye – Grantee Submission, 2022
Although variable-oriented analyses are dominant in developmental psychopathology, researchers have championed a person-oriented approach that focuses on the individual as a totality. This view has methodological implications and various person-oriented methods have been developed to test person-oriented hypotheses. Configural frequency analysis…
Descriptors: Student Behavior, Behavior Patterns, Monte Carlo Methods, Statistical Analysis
Lindsay M. Fallon; Emily R. DeFouw; Sadie C. Cathcart; Talia S. Berkman; Patrick Robinson-Link; Breda V. O'Keeffe; George Sugai – Grantee Submission, 2021
School discipline disproportionality has long been documented in educational research, primarily impacting Black/African American and non-White Hispanic/Latinx students. In response, federal policymakers have encouraged educators to change their disciplinary practice, emphasizing that more proactive support is critical to promoting students'…
Descriptors: Discipline, Student Behavior, Behavior Modification, Social Development
Timothy Lycurgus; Ben B. Hansen; Mark White – Grantee Submission, 2022
We present an aggregation scheme that increases power in randomized controlled trials and quasi-experiments when the intervention possesses a robust and well-articulated theory of change. Intervention studies using longitudinal data often include multiple observations on individuals, some of which may be more likely to manifest a treatment effect…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Quasiexperimental Design, Intervention
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Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Rebecca Hinze-Pifer; Lauren Sartain – Grantee Submission, 2018
Driven by a combination of concern for historically high suspension rates and substantial disproportionalities in suspension use, a recent wave of education reforms encourages schools to reduce their use of suspensions for student behavior management. Both academic and political discourse has focused on the extensive use of suspension for…
Descriptors: Behavior Disorders, Student Behavior, Suspension, Disproportionate Representation
Christian T. Doabler; Ben Clarke; Derek Kosty; Marah Sutherland; Jessica E. Turtura; Allison R. Firestone; Georgia L. Kimmel; Patrick Brott; Tasia L. Brafford; Nancy J. Nelson Fien; Keith Smolkowski; Kathleen Jungjohann – Grantee Submission, 2022
Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…
Descriptors: Measurement, Statistical Analysis, Grade 2, Elementary School Students
Kenneth Tyler Wilcox; Ross Jacobucci; Zhiyong Zhang; Brooke A. Ammerman – Grantee Submission, 2023
Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular modeling approaches for text to the context of psychological research. One popular measurement model for text, topic modeling, uses a latent mixture model to represent topics underlying a body of documents. Recently,…
Descriptors: Bayesian Statistics, Content Analysis, Undergraduate Students, Self Destructive Behavior
Hanselman, Paul – Grantee Submission, 2018
Are equal educational opportunities sufficient to narrow long-standing economic and racial inequalities in achievement? In this paper, I test the hypothesis that poor and minority students benefit less from effective elementary school teachers than their non-poor and White peers, thus exacerbating inequalities. I use administrative data from…
Descriptors: Educational Opportunities, Equal Education, Low Income Students, Minority Group Students
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Nianbo Dong; Keith Herman; Benjamin Kelcey; Sirui Ren; Wendy Reinke; Jessaca Spybrook – Grantee Submission, 2025
Contextual, identity, and cultural factors are not only associated with student outcomes but can also serve to moderate the effects of interventions. However, the conventional analysis of moderation commonly used in school psychology is subject to the selection bias potentially introducing bias into estimated moderator effects. This article…
Descriptors: Causal Models, Statistical Analysis, Context Effect, Intervention
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Furquim, Fernando; Glasener, Kristen M.; Oster, Meghan; McCall, Brian P.; DesJardins, Stephen L. – Grantee Submission, 2017
A growing number and proportion of students rely on student loans to assist with the costs of postsecondary education. Yet little is known about how first-generation students use federal loans to finance their education. In this article, we examine each of the decisions that culminate in student indebtedness: the decision to apply for aid, whether…
Descriptors: Student Financial Aid, First Generation College Students, Decision Making, Debt (Financial)
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Hardcastle, Joseph; Herrmann-Abell, Cari F.; DeBoer, George E. – Grantee Submission, 2017
Energy is a critically important topic in the K-12 science curriculum, with many applications in the earth, physical, and life sciences and in engineering and technology. To meet the challenges associated with teaching energy, new tools and assessment instruments are needed. In this work we describe the development of a three-tier assessment…
Descriptors: Energy, Elementary Secondary Education, Science Instruction, Test Construction
Adelman, Robert Mark; Herrmann, Sarah D.; Bodford, Jessica E.; Barbour, Joseph E.; Graudejus, Oliver; Okun, Morris A.; Kwan, Virginia S. Y. – Grantee Submission, 2017
This research examined the function of future self-continuity and its potential downstream consequences for academic performance through relations with other temporal psychological factors and self-control. We also addressed the influence of cultural factors by testing whether these relations differed by college generation status. Undergraduate…
Descriptors: Cultural Influences, Undergraduate Students, Psychological Patterns, Academic Achievement
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Chelsea Daniels; Yoav Bergner; Collin Lynch; Tiffany Barnes – Grantee Submission, 2018
In the e-learning context, social network analysis (SNA) can be used to build understanding around the ways students participate and interact in online forums. This study contributes to the growing body of research that uses statistical methods to test hypotheses about structures in social networks. Specifically, we show how statistical analysis…
Descriptors: Hypothesis Testing, Social Networks, Network Analysis, MOOCs
Heppen, Jessica B.; Zeiser, Kristina; Holtzman, Deborah J.; O'Cummings, Mindee; Christenson, Sandra; Pohl, Angie – Grantee Submission, 2017
Although graduation rates are rising, the high school dropout problem remains a national crisis, and evidence-based information about interventions for at-risk students is critically needed. Prior research shows that Check & Connect, an individualized mentoring program, has positive effects on school persistence and progression for students…
Descriptors: At Risk Students, High School Students, Mentors, Urban Areas
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