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Dowell, Kathleen; Stevenson, Olivia – Grantee Submission, 2018
"12 for Life" is an Investing in Innovation (i3) development grant funded by the Office of Innovation and Improvement, U.S. Department of Education. "12 for Life" provides a rigorous STEM curriculum, combined with on-the-job-training, work/life skills development, mentoring, and employment opportunities to high school students…
Descriptors: High School Students, Dropouts, Dropout Prevention, Program Evaluation
McIntyre, Nancy S.; Oswald, Tasha M.; Solari, Emily J.; Zajic, Matthew C.; Lerro, Lindsay E.; Hughes, Claire; Devine, Rory T.; Mundy, Peter C. – Grantee Submission, 2018
Background: Many individuals with autism spectrum disorders (ASD) exhibit social cognitive impairments in the development of theory of mind (ToM), or the ability to attribute mental states to oneself and others. ToM has been shown to relate to reading comprehension for children and adolescents with typical development (TD) and with ASD. This study…
Descriptors: Social Cognition, Reading Comprehension, Children, Adolescents
Wong, Vivian C.; Steiner, Peter M.; Anglin, Kylie L. – Grantee Submission, 2018
Given the widespread use of non-experimental (NE) methods for assessing program impacts, there is a strong need to know whether NE approaches yield causally valid results in field settings. In within-study comparison (WSC) designs, the researcher compares treatment effects from an NE with those obtained from a randomized experiment that shares the…
Descriptors: Evaluation Methods, Program Evaluation, Program Effectiveness, Comparative Analysis
Scott, Marc A.; Diakow, Ronli; Hill, Jennifer L.; Middleton, Joel A. – Grantee Submission, 2018
We are concerned with the unbiased estimation of a treatment effect in the context of non-experimental studies with grouped or multilevel data. When analyzing such data with this goal, practitioners typically include as many predictors (controls) as possible, in an attempt to satisfy ignorability of the treatment assignment. In the multilevel…
Descriptors: Statistical Bias, Computation, Comparative Analysis, Hierarchical Linear Modeling
Park, Toby; Woods, Chenoa S.; Hu, Shouping; Bertrand Jones, Tamara; Tandberg, David – Grantee Submission, 2018
In 2014, developmental education became optional for many college students in Florida, regardless of prior academic preparation. This study investigated first-semester math course enrollment patterns for underprepared first-time-in-college (FTIC) students who would have previously been required to take developmental math and the passing rates for…
Descriptors: Remedial Mathematics, Algebra, College Freshmen, Underachievement
Qin, Jike; Opfer, John – Grantee Submission, 2018
Language is often depicted as the sine qua non of mathematical thinking, a view buttressed by findings of language-of-training effects among bilinguals. These findings, however, have been limited to studies of arithmetic. Nothing is known about the potential influence of language on the ability to learn rules about the relations among variables…
Descriptors: Language Role, Mathematics Instruction, Thinking Skills, Bilingualism
Clark, D. Angus; Bowles, Ryan P. – Grantee Submission, 2018
In exploratory item factor analysis (IFA), researchers may use model fit statistics and commonly invoked fit thresholds to help determine the dimensionality of an assessment. However, these indices and thresholds may mislead as they were developed in a confirmatory framework for models with continuous, not categorical, indicators. The present…
Descriptors: Factor Analysis, Goodness of Fit, Factor Structure, Monte Carlo Methods
Ansari, Arya; Pianta, Robert C.; Whittaker, Jessica V.; Vitiello, Virginia E.; Ruzek, Erik A. – Grantee Submission, 2018
This investigation considered the short-term benefits of early childhood education participation at age 3 for 1,213 children from low-income families living in a large and linguistically diverse county. Although no benefits emerged for executive functioning, children who participated in formal early childhood programs at the age of 3 entered pre-K…
Descriptors: Educational Benefits, Executive Function, Early Childhood Education, Low Income
Peer reviewed Peer reviewed
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Roschelle, Jeremy; Herman, Phillip; Bumgardner, Karen; Shechtman, Nicole; Feng, Mingyu – Grantee Submission, 2018
In the context of a large-scale randomized controlled trial, our team investigated "front line" teaching issues as schools implemented a fully digital, blended learning curriculum in mathematics. This paper focuses on observations of instruction within schools that were assigned to use the new digital resources. Compared to a…
Descriptors: Mathematics Instruction, Blended Learning, Comparative Analysis, Class Activities
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Wolf, Rebecca; Latham, Gavin; Armstrong, Clayton; Ross, Steven; Laurenzano, Mary; Daniels, Cecilia; Eisinger, Jane; Reilly, Joseph – Grantee Submission, 2018
The English Language and Literacy Acquisition--Validation (ELLA-V) study was a five-year evaluation of a program that provided professional development, coaching, and curricula that targeted English-as-a-second-language (ESL) instruction for teachers of K-3 English learners (ELs). ELLA-V was implemented in 10 school districts in Texas in the…
Descriptors: Literacy, English (Second Language), Second Language Learning, Program Evaluation
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
Forastiere, Laura; Mattei, Alessandra; Ding, Peng – Grantee Submission, 2018
In causal mediation analysis, the definitions of the natural direct and indirect effects involve potential outcomes that can never be observed, so-called a priori counterfactuals. This conceptual challenge translates into issues in identification, which requires strong and often unverifiable assumptions, including sequential ignorability.…
Descriptors: Identification, Attribution Theory, Guidelines, Comparative Analysis
Zimmerman, Kathleen N.; Ledford, Jennifer R.; Severini, Katherine E.; Pustejovsky, James E.; Barton, Erin E.; Lloyd, Blair P. – Grantee Submission, 2018
Tools for evaluating the quality and rigor of single case research designs (SCD) are often used when conducting SCD syntheses. Preferred components include evaluations of design features related to the internal validity of SCD to obtain quality and/or rigor ratings. Three tools for evaluating the quality and rigor of SCD (Council for Exceptional…
Descriptors: Research Design, Evaluation Methods, Synthesis, Validity
Zimmerman, Kathleen N.; Pustejovsky, James E.; Ledford, Jennifer R.; Barton, Erin E.; Severini, Katherine E.; Lloyd, Blair P. – Grantee Submission, 2018
Varying methods for evaluating the outcomes of single case research designs (SCD) are currently used in reviews and meta-analyses of interventions. Quantitative effect size measures are often presented alongside visual analysis conclusions. Six measures across two classes--overlap measures (percentage non-overlapping data, improvement rate…
Descriptors: Research Design, Evaluation Methods, Synthesis, Intervention
Enders, Craig K.; Hayes, Timothy; Du, Han – Grantee Submission, 2018
Literature addressing missing data handling for random coefficient models is particularly scant, and the few studies to date have focused on the fully conditional specification framework and "reverse random coefficient" imputation. Although it has not received much attention in the literature, a joint modeling strategy that uses random…
Descriptors: Data Analysis, Statistical Bias, Sample Size, Correlation
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