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Mark L. Davison; David J. Weiss; Ozge Ersan; Joseph N. DeWeese; Gina Biancarosa; Patrick C. Kennedy – Grantee Submission, 2021
MOCCA is an online assessment of inferential reading comprehension for students in 3rd through 6th grades. It can be used to identify good readers and, for struggling readers, identify those who overly rely on either a Paraphrasing process or an Elaborating process when their comprehension is incorrect. Here a propensity to over-rely on…
Descriptors: Reading Tests, Computer Assisted Testing, Reading Comprehension, Elementary School Students
Davison, Mark L.; Seipel, Ben; Clinton, Virgiia; Carlson, Sarah E.; Kennedy, Patrick C. – Grantee Submission, 2020
MOCCA-C is an assessment of adult reading ability designed for early diagnosis of reading problems, for formative assessment in reading intervention planning, for assessment of reading improvement over time, and for assessment of reading intervention outcomes. It uses both narrative and expository reading passages and it currently has four forms.…
Descriptors: Adult Literacy, Identification, Reading Difficulties, Intervention
Domingue, Benjamin W.; Trejo, Sam; Armstrong-Carter, Emma; Tucker-Drob, Elliot M. – Grantee Submission, 2020
Interest in the study of gene-environment interaction has recently grown due to the sudden availability of molecular genetic data--in particular, polygenic scores--in many long-running longitudinal studies. Identifying and estimating statistical interactions comes with several analytic and inferential challenges; these challenges are heightened…
Descriptors: Genetics, Environmental Influences, Scores, Interaction
Grindal, Todd; Nunn, Stephanie; Wei, Xin; Boyce, Jared; Chow, Kirby – Grantee Submission, 2020
This project took place at four Montana middle and high schools in three rural settings located across the state. Study participants included students and teachers located in four middle and high schools. Each of the schools had large percentages of struggling readers, American Indian students, English learners, and low-income students. Comparison…
Descriptors: Middle Schools, High Schools, Rural Schools, School Turnaround
Tong, Xin; Zhang, Zhiyong – Grantee Submission, 2020
Despite broad applications of growth curve models, few studies have dealt with a practical issue -- nonnormality of data. Previous studies have used Student's "t" distributions to remedy the nonnormal problems. In this study, robust distributional growth curve models are proposed from a semiparametric Bayesian perspective, in which…
Descriptors: Robustness (Statistics), Bayesian Statistics, Models, Error of Measurement
Reading Motivation in Spanish-Speaking Dual Language Learners: Comparing Two Types of Student Report
Klauda, Susan Lutz; Taboada Barber, Ana; McAllen, Elizabeth B. – Grantee Submission, 2020
Employing a mixed methods approach, this study examined the reading motivations of dual language learners (DLLs) in Grades 3-5 in a suburban Title I school in which the student population was predominantly Hispanic. Twenty-one students completed self-report surveys and participated in interviews focused on two intrinsic motivations (involvement…
Descriptors: Reading Motivation, Bilingual Students, Elementary School Students, Hispanic American Students
Small, Jason W.; Frey, Andy; Lee, Jon; Seeley, John R.; Scott, Terrance M.; Sibley, Margaret H. – Grantee Submission, 2020
Educational researchers and school-based practitioners are increasingly infusing Motivational Interviewing (MI) into new and existing intervention protocols to provide support to students, parents, teachers, and school administrators. To date, however, the majority of the research in this area has focused on feasibility of implementation rather…
Descriptors: Fidelity, Motivation Techniques, Interviews, Program Implementation
Makol, Bridget A.; Youngstrom, Eric A.; Racz, Sarah J.; Qasmieh, Noor; Glenn, Lara E.; De Los Reyes, Andres – Grantee Submission, 2020
Assessing youth psychopathology involves collecting multiple informants' reports. Yet, multi-informant reports often disagree, necessitating integrative strategies that optimize predictive power. The "Trait" score approach leverages principal components analysis (PCA) to account for the context and perspective from which informants…
Descriptors: Clinical Diagnosis, Psychopathology, Youth, Factor Analysis
Schillinger, Dean; Balyan, Renu; Crossley, Scott A.; McNamara, Danielle S.; Liu, Jennifer Y.; Karter, Andrew J. – Grantee Submission, 2020
Objective: To develop novel, scalable, and valid literacy profiles for identifying limited health literacy patients by harnessing natural language processing. Data Source: With respect to the linguistic content, we analyzed 283 216 secure messages sent by 6941 diabetes patients to physicians within an integrated system's electronic portal.…
Descriptors: Literacy, Profiles, Computational Linguistics, Syntax
Guerrero, Tricia A.; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
The Predict-Observe-Explain (POE) learning cycle improves understanding of the connection between empirical results and theoretical concepts when students engage in hands-on experimentation. This study explored whether training students to use a POE strategy when learning from social science texts that describe theories and experimental results…
Descriptors: Prediction, Observation, Reading Comprehension, Correlation
Mansolf, Maxwell; Jorgensen, Terrence D.; Enders, Craig K. – Grantee Submission, 2020
Structural equation modeling (SEM) applications routinely employ a trilogy of significance tests that includes the likelihood ratio test, Wald test, and score test or modification index. Researchers use these tests to assess global model fit, evaluate whether individual estimates differ from zero, and identify potential sources of local misfit,…
Descriptors: Structural Equation Models, Computation, Scores, Simulation
Sahoo, Shalini; Millar, Roberto J.; Yamashita, Takashi; Cummins, Phyllis – Grantee Submission, 2020
Objectives: Routine cancer screening is widely recognized as an effective preventive strategy to reduce cancer mortality -- the second leading cause of death in the U.S. However, cancer screening requires a complex array of tasks such as seeking up-to-date guidelines, making appointments, planning hospital visits, and communicating with health…
Descriptors: Problem Solving, Cancer, Screening Tests, Prevention
Gubbins, E. Jean; Siegle, Del; Peters, Pamela M.; Carpenter, Ashley Y.; Hamilton, Rashea; McCoach, D. Betsy; Puryear, Jeb; Langley, S. D.; Long, D. – Grantee Submission, 2020
The underrepresentation of English learners (ELs) in gifted and talented programs is a societal and research problem that merits investigation. Three state departments of education and their state directors of gifted programs supported our access to 16 schools across nine districts. In these three states with gifted identification and programming…
Descriptors: Academically Gifted, Talent Identification, English Language Learners, Disproportionate Representation
McCormick, Meghan P.; Neuhaus, Robin; O'Connor, Erin E.; White, Hope I.; Horn, E. Parham; Harding, Samantha; Capella, Elise; McClowry, Sandee – Grantee Submission, 2020
Social-Emotional Learning (SEL) programs are school-based preventive interventions that aim to improve children's social-emotional skills and behaviors. Although meta-analytic research has shown that SEL programs implemented in early childhood can improve academic and behavioral outcomes in the short-term, there is limited work examining program…
Descriptors: Intervention, Interpersonal Competence, Mathematics Skills, Language Skills
Magliano, Joseph P.; Lampi, Jodi P.; Ray, Melissa; Chan, Greta – Grantee Submission, 2020
Coherent mental models for successful comprehension require inferences that establish semantic "bridges" between discourse constituents and "elaborations" that incorporate relevant background knowledge. While it is established that individual differences in the extent to which postsecondary students engage in these processes…
Descriptors: Reading Comprehension, Reading Strategies, Inferences, Reading Tests

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