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Grantee Submission307
Showing 91 to 105 of 307 results Save | Export
Sandilos, Lia E.; Shervey, Sarah Wollersheim; DiPerna, James C.; Lei, Puiwa; Cheng, Weiyi – Grantee Submission, 2017
This study examined the internal structure of the Classroom Assessment Scoring System (CLASS; K-3 version). The original CLASS K-3 model (Pianta, La Paro, & Hamre, 2008) and 5 alternative models were tested using confirmatory factor analysis with a sample of first- and second-grade classrooms (N = 141). Findings indicated that a slightly…
Descriptors: Classroom Observation Techniques, Correlation, Elementary School Students, Factor Analysis
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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)
Grimm, Ryan P.; Solari, Emily J.; McIntyre, Nancy S.; Denton, Carolyn A. – Grantee Submission, 2018
This study identified distinct, homogeneous latent profiles of at-risk (n = 141) and not at-risk (n = 149) first grade readers. Separate latent profile analyses were conducted with each subgroup using measures of phonological awareness, decoding, linguistic comprehension, and oral reading fluency. This study also examined which measures best…
Descriptors: Elementary School Students, At Risk Students, Grade 1, Reading Skills
Ansari, Arya; Purtell, Kelly M. – Grantee Submission, 2018
Using nationally representative data from the Family and Child Experiences Survey 2009 Cohort (n = 2,798), this study examined patterns of absenteeism and their consequences through the transition to kindergarten. Overall, children were less likely to be absent in kindergarten than from Head Start at ages 3 and 4. Absenteeism was fairly stable…
Descriptors: Attendance, Kindergarten, Disadvantaged Youth, Preschool Education
Kropko, Jonathan; Goodrich, Ben; Gelman, Andrew; Hill, Jennifer – Grantee Submission, 2014
We consider the relative performance of two common approaches to multiple imputation (MI): joint multivariate normal (MVN) MI, in which the data are modeled as a sample from a joint MVN distribution; and conditional MI, in which each variable is modeled conditionally on all the others. In order to use the multivariate normal distribution,…
Descriptors: Statistical Analysis, Multivariate Analysis, Accuracy, Data
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Liu, Haiyan; Zhang, Zhiyong; Grimm, Kevin J. – Grantee Submission, 2016
Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…
Descriptors: Bayesian Statistics, Computation, Statistical Analysis, Growth Models
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Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2016
This study examines links between essay quality and text elaboration and text cohesion. For this study, 35 students wrote two essays (on two different prompts) and for each, were given 15 minutes to elaborate on their original text. An expert in discourse comprehension then modified the original and elaborated essays to increase cohesion,…
Descriptors: Essays, Writing Assignments, Writing Skills, Connected Discourse
Verdine, Brian N.; Lucca, Kelsey R.; Golinkoff, Roberta M.; Hirsch-Pasek, Kathryn.; Newcombe, Nora S. – Grantee Submission, 2016
How do toddlers learn the names of geometric forms? Previous work suggests that preschoolers have fragmentary knowledge and that defining properties are not understood until well into elementary school. The current study investigated when children first begin to understand shape names and how they apply those labels to unusual instances. We tested…
Descriptors: Young Children, Geometric Concepts, Toddlers, Naming
Mokher, Christine; Leeds, Daniel; Harris, Julie – Grantee Submission, 2018
The Florida College and Career Readiness Initiative (FCCRI) was a statewide policy requiring college readiness testing and participation in college readiness courses for high school students. We used regression discontinuity to compare outcomes for students scoring just above and below test score cutoffs for assignment to FCCRI. We also examined…
Descriptors: Career Readiness, College Readiness, Regression (Statistics), High School Students
Mohtasham, Mandana K.; Patterson, Allyson B.; Vennergrund, Katherine C.; Chen, Eileen; Pasnak, Robert – Grantee Submission, 2017
The importance of social-emotional competence, executive functioning, and behavioural recognition of patterns by young children is receiving increased attention from researchers, schools, parents, and teachers due to the beneficial outcomes of children who have skills in each. This paper presents studies of the correlations between these variables…
Descriptors: Executive Function, Emotional Development, Interpersonal Competence, Behavior Patterns
Doroudi, Shayan; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2017
The gold standard for identifying more effective pedagogical approaches is to perform an experiment. Unfortunately, frequently a hypothesized alternate way of teaching does not yield an improved effect. Given the expense and logistics of each experiment, and the enormous space of potential ways to improve teaching, it would be highly preferable if…
Descriptors: Teaching Methods, Matrices, Evaluation Methods, Models
Bustamante, Andres S.; White, Lisa J.; Greenfield, Daryl B. – Grantee Submission, 2017
Approaches to learning are a set of domain-general skills that encompass curiosity, persistence, planning, and engagement in group learning. These skills play a key role in preschoolers' learning and predict school readiness in math and language. Preschool science is a critical domain for early education and facilitates learning across domains.…
Descriptors: School Readiness, Preschool Children, Preschool Education, Learning Strategies
Early, Diane M.; Sideris, John; Neitzel, Jennifer; LaForett, Doré R.; Nehler, Chelsea G. – Grantee Submission, 2018
The Early Childhood Environment Rating Scale-Third Edition (ECERS-3) is the latest version of one of the most widely used observational tools for assessing the quality of classrooms serving preschool-aged children. This study was the first assessment of its factor structure and validity, an important step given its widespread use. An ECERS-3…
Descriptors: Rating Scales, Early Childhood Education, Educational Quality, Factor Structure
Ren, Chunfeng; Shin, Yongyun – Grantee Submission, 2016
In this paper, we analyze a two-level latent variable model for longitudinal data from the National Growth of Health Study where surrogate outcomes or biomarkers and covariates are subject to missingness at any of the levels. A conventional method for efficient handling of missing data is to reexpress the desired model as a joint distribution of…
Descriptors: Longitudinal Studies, Statistical Analysis, Data, Maximum Likelihood Statistics
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Torres Irribarra, David; Diakow, Ronli; Freund, Rebecca; Wilson, Mark – Grantee Submission, 2015
This paper presents the Latent Class Level-PCM as a method for identifying and interpreting latent classes of respondents according to empirically estimated performance levels. The model, which combines elements from latent class models and reparameterized partial credit models for polytomous data, can simultaneously (a) identify empirical…
Descriptors: Item Response Theory, Test Items, Statistical Analysis, Models
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