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Robin Clausen – Grantee Submission, 2024
Early warning systems (EWS) using analytical tools that have been trained against prior years' data, can reliably predict dropout risk in individual students so that educators may intervene early to help avert this from happening. Risk profiles for dropouts aren't always useful since students often do not conform to the profiles. Researchers with…
Descriptors: Early Intervention, Predictor Variables, Potential Dropouts, At Risk Students
Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
Sarah Collier Villaume; Jacquelyn E. Stephens; Michelle G. Craske; Richard E. Zinbarg; Emma K. Adam – Grantee Submission, 2024
Purpose: Poor sleep is associated with short-term dysregulation of mood and is a risk factor for major depressive disorder (MDD). This study examines whether objectively measured sleep in late adolescence prospectively predicts major depressive episode (MDE) onset in early adulthood as well as whether daily affect mediates this association.…
Descriptors: Sleep, Affective Behavior, Psychological Patterns, Depression (Psychology)
Alexandria A. Viegut; Ana C. Stephens; Percival G. Matthews – Grantee Submission, 2024
Researchers from multiple disciplines have found that fractions and algebra knowledge are linked. One major strand of research has identified children's "units coordination" structures as crucial for success with fractions and algebra via multiplicative reasoning, whereas a second strand of research points to "magnitude…
Descriptors: Fractions, Algebra, Mathematics Instruction, Grade 8
Denisa Gándara; Hadis Anahideh; Matthew P. Ison; Lorenzo Picchiarini – Grantee Submission, 2024
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…
Descriptors: Algorithms, Social Bias, Minority Groups, Equal Education
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Tiantian Sun; Ryan Bowles; Sarah N. Douglas; Joshua Plavnick – Grantee Submission, 2023
Children with complex communication needs (CCN) who use augmentative and alternative communication (AAC) often need more time to process and respond when communicating with others. This study employed a survival analysis approach exploring child response-time patterns following different communication opportunities for young children with CCN who…
Descriptors: Communication Problems, Augmentative and Alternative Communication, Reaction Time, Individual Differences
Emma Armstrong-Carter; Eva H. Telzer – Grantee Submission, 2022
This study investigates how the interplay between adolescents' daily levels of emotional distress and diurnal cortisol relates to their risk-taking behaviors. Specifically, we test competing hypotheses whether emotional distress exacerbates the link between cortisol and risk taking, or whether cortisol only predicts risk taking in the absence of…
Descriptors: Adolescents, Behavior, Emotional Response, Risk
Sam Trejo – Grantee Submission, 2024
Birth weight is a robust predictor of valued life course outcomes, emphasizing the importance of prenatal development. But does birth weight act as a proxy for environmental conditions in utero, or do biological processes surrounding birth weight themselves play a role in healthy development? To answer this question, we leverage variation in birth…
Descriptors: Body Weight, Prenatal Influences, Genetics, Hypothesis Testing
Christopher DeCamp; Christopher J. Lonigan – Grantee Submission, 2024
Discrepancies between teacher and parent reports of children's externalizing behaviors are well documented. However, less research has examined the associations these different ratings have with objective indicators of functioning in other domains. The goal of this study was to compare the strength of association of parent and teacher reports of…
Descriptors: Parent Attitudes, Teacher Attitudes, Preschool Children, Rating Scales
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
Dan Goldhaber; Cyrus Grout; Malcolm Wolff – Grantee Submission, 2023
While the practice of collecting information from applicants' professional references is widespread, there is a paucity of research linking references' assessments of applicants to subsequent performance. In this paper, we examine the predictive validity of a specific type of reference-provided information: categorical ratings of teacher…
Descriptors: Teacher Effectiveness, Teacher Evaluation, Social Networks, Job Applicants
Nicole R. Brass; ChenYu Hung; Tayla Stephen; Christi Bergin; Chad Rose; Sara Prewett – Grantee Submission, 2024
Students' academic engagement is greatly informed by a classroom's social climate. However, more research is needed regarding how specific peer behavior, especially prosocial behavior, come to shape academic engagement. The present study investigated whether students' perceptions about their classmates' prosocial behavior were associated with…
Descriptors: Middle School Students, Learner Engagement, Prosocial Behavior, Peer Influence
Gal Kaldes; Karyn Higgs; Jodi Lampi; Alecia Santuzzi; Stephen M. Tonks; Tenaha O'Reilly; John P. Sabatini; Joseph P. Magliano – Grantee Submission, 2024
The current research used the Proficient Academic Reader (PAR) framework to explore whether reading strategies, task awareness, and motivation predicted college students' literacy skills over and above foundational skills (e.g., decoding, vocabulary). Specifically, the current research investigated the unique contribution of the PAR constructs to…
Descriptors: College Students, Student Motivation, Literacy, Reading Skills
V. Paul Poteat; Hirokazu Yoshikawa; Robert A. Marx; S. Henry Sherwood; Abigail Richburg; Gabriel R. Murchison; Arthur Lipkin; Megan K. Yang; Jerel P. Calzo – Grantee Submission, 2023
Gender-Sexuality Alliances (GSAs) are school clubs for LGBTQ+ youth and peer allies to support one another. This eight-week weekly diary study considered whether a youth's positive and negative affect during a given week could be predicted by experiences in their most recently attended GSA meeting. Ninety-nine GSA members (M[subscript age] =…
Descriptors: LGBTQ People, Clubs, Sexual Identity, Sexual Orientation