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Daniel McNeish – Grantee Submission, 2023
Factor analysis is often used to model scales created to measure latent constructs, and internal structure validity evidence is commonly assessed with indices like SRMR, RMSEA, and CFI. These indices are essentially effect size measures and definitive benchmarks regarding which values connote reasonable fit have been elusive. Simulations from the…
Descriptors: Models, Testing, Indexes, Factor Analysis
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Frank, Kenneth A.; Lin, Qinyun; Xu, Ran; Maroulis, Spiro; Mueller, Anna – Grantee Submission, 2023
Social scientists seeking to inform policy or public action must carefully consider how to identify effects and express inferences because actions based on invalid inferences will not yield the intended results. Recognizing the complexities and uncertainties of social science, we seek to inform inevitable debates about causal inferences by…
Descriptors: Social Sciences, Research Methodology, Statistical Inference, Robustness (Statistics)
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Clintin P. Davis-Stober; Jason Dana; David Kellen; Sara D. McMullin; Wes Bonifay – Grantee Submission, 2023
Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…
Descriptors: Research Methodology, Sample Size, Effect Size, Hypothesis Testing
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Soriano, Dan; Ben-Michael, Eli; Bickel, Peter; Feller, Avi; Pimentel, Samuel D. – Grantee Submission, 2023
Assessing sensitivity to unmeasured confounding is an important step in observational studies, which typically estimate effects under the assumption that all confounders are measured. In this paper, we develop a sensitivity analysis framework for balancing weights estimators, an increasingly popular approach that solves an optimization problem to…
Descriptors: Statistical Analysis, Computation, Mathematical Formulas, Monte Carlo Methods
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Melissa G. Wolf; Daniel McNeish – Grantee Submission, 2023
To evaluate the fit of a confirmatory factor analysis model, researchers often rely on fit indices such as SRMR, RMSEA, and CFI. These indices are frequently compared to benchmark values of 0.08, 0.06, and 0.96, respectively, established by Hu and Bentler (1999). However, these indices are affected by model characteristics and their sensitivity to…
Descriptors: Programming Languages, Cutting Scores, Benchmarking, Factor Analysis
Fatih Unlu; Douglas Lee Lauen; Sarah Crittenden Fuller; Tiffany Berglund; Elc Estrera – Grantee Submission, 2021
Do quasi-experimental (QE) studies conducted with baseline covariates that are typically available in the longitudinal administrative state databases yield unbiased effect estimates? This paper conducts a within-study comparison (WSC) study that compares experimental impacts of early college high school (ECHS) attendance with QE impacts drawn from…
Descriptors: Quasiexperimental Design, Longitudinal Studies, Databases, Statistical Bias
Tortorelli, Laura S.; Bowles, Ryan P.; Skibbe, Lori E. – Grantee Submission, 2017
Preschool and kindergarten teachers can assess and monitor their students' letter name knowledge in less than a minute per student using the freely available Quick Letter Name Knowledge assessment. The purpose of this article is to introduce the Quick Letter Name Knowledge assessment to early childhood educational practitioners. [This article was…
Descriptors: Reading Instruction, Kindergarten, Alphabets, Emergent Literacy
Chenglu Li; Wanli Xing; Walter Leite – Grantee Submission, 2022
A discussion forum is a valuable tool to support student learning in online contexts. However, interactions in online discussion forums are sparse, leading to other issues such as low engagement and dropping out. Recent educational studies have examined the affordances of conversational agents (CA) powered by artificial intelligence (AI) to…
Descriptors: Social Responsibility, Computer Mediated Communication, Group Discussion, Artificial Intelligence
Beckman, Kara J.; Gacad, Angeline; McMorris, Barbara – Grantee Submission, 2023
Schools are increasingly turning towards restorative practices as a pathway to building schools with stronger relationships, justice, and equity. While effectiveness studies are increasing, too little attention is focused on evaluating implementation. This resources is for audiences who evaluate implementation of whole school restorative practices…
Descriptors: Program Implementation, Program Evaluation, Discipline, Justice
Kim, Jeanette; Simon, Mia; Horenstein, Aaron; Webber, Althea J. – Grantee Submission, 2020
The City University of New York (CUNY) is the largest urban public university system in the United States with approximately 100,000 students enrolled in associate degree programs. Similar to trends nationwide, many associate degree students come to CUNY underprepared for college-level classes and are assigned to take remedial or developmental…
Descriptors: Community Colleges, Educational Change, Developmental Studies Programs, Urban Universities
Owens, Julie Sarno; Evans, Steven W.; Coles, Erika K.; Holdaway, Alex S.; Himawan, Lina K.; Mixon, Clifton S.; Egan, Theresa E. – Grantee Submission, 2018
In the context of best practices consultation with high needs teachers, we examined (1) relations between teachers' appropriate response to student rule violations and rates of rule violations, and (2) rates of student misbehavior among teachers who do and do not achieve various benchmarks of integrity and/or growth in skills. Participants were 48…
Descriptors: Classroom Techniques, Intervention, Student Behavior, Consultation Programs
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Spencer, Trina D.; Thompson, Marilyn S.; Petersen, Douglas B.; Liu, Yixing; Restrepo, M. Adelaida – Grantee Submission, 2023
For young Spanish-speaking children entering U. S. schools, it is imperative that educators foster growth in the home language and in the language of instruction to the fullest extent possible. Monitoring language development over time is crucial for promoting language development because it allows educators to individualize student instruction.…
Descriptors: Spanish Speaking, English (Second Language), Second Language Learning, Native Language
Roschelle, Jeremy; Murphy, Robert; Feng, Mingyu; Bakia, Marianne – Grantee Submission, 2017
In a rigorous evaluation of ASSISTments as an online homework support conducted in the state of Maine, SRI International reported that "the intervention significantly increased student scores on an end-of-the-year standardized mathematics assessment as compared with a control group that continued with existing homework practices."…
Descriptors: Homework, Program Effectiveness, Effect Size, Cost Effectiveness
Jaciw, Andrew P.; Nguyen, Thanh; Lin, Li; Zacamy, Jenna L.; Kwong, Connie; Lau, Sze-Shun – Grantee Submission, 2020
These appendices accompany the report "Final Report of the i3 Impact Study of Making Sense of SCIENCE, 2016-17 through 2017-18." Science education has experienced a significant transition over the last decade, catalyzed by a re-envisioning of what students should know and be able to do in science. That re-envisioning culminated in the…
Descriptors: Faculty Development, Science Instruction, Science Achievement, Elementary School Teachers
Domina, Thurston; McEachin, Andrew J.; Penner, Andrew M.; Penner, Emily K. – Grantee Submission, 2014
The U.S. is in the midst of an effort to intensify middle school mathematics curricula by enrolling more 8th graders in Algebra. California is at the forefront of this effort, and in 2008 the state moved to make Algebra the accountability benchmark test for 8th grade mathematics. This paper takes advantage of this unevenly-implemented policy to…
Descriptors: Algebra, Grade 8, Middle School Students, Secondary School Mathematics