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Pion, Georgine M.; Lipsey, Mark W. – AERA Open, 2021
The Tennessee Voluntary Pre-K Program (TN-VPK) is statewide full-day program that gives priority to children from low-income families. A regression-discontinuity design with a statewide probability sample of 155 TN-VPK classrooms and 5,189 children participating across two pre-K cohorts found positive effects at kindergarten entry with the largest…
Descriptors: Preschool Education, Literacy, Language Skills, Mathematics Skills
Ng, Wing-Si; Wong, Terry Tin-Yau; Fong, Cathy Yui-Chi – Journal of Cognition and Development, 2021
Learning to solve arithmetic word problems is an essential part of the primary school mathematics curriculum. The success of word-problem solving was previously found to relate to reading comprehension ability of children. However, the relationships between specific reading comprehension component skills and word-problem solving remain largely…
Descriptors: Reading Comprehension, Word Problems (Mathematics), Arithmetic, Problem Solving
Sarkar, Jyotirmoy; Rashid, Mamunur – Educational Research Quarterly, 2021
The Pearson correlation coefficient can be recovered from the two least squares regression lines y[with circumflex] = b[subscript 0] + b[subscript 1]x and x[with circumflex] = a[subscript 0] + a[subscript 1]y without any data. This can be done both algebraically and geometrically. This can be done without data even when the scales of the variables…
Descriptors: Correlation, Regression (Statistics), Least Squares Statistics, Information Utilization
Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2021
Student modeling is useful in educational research and technology development due to a capability to estimate latent student attributes. Widely used approaches, such as the Additive Factors Model (AFM), have shown satisfactory results, but they can only handle binary outcomes, which may yield potential information loss. In this work, we propose a…
Descriptors: Models, Student Characteristics, Feedback (Response), Error Correction
Regional Educational Laboratory Midwest, 2021
These are the appendixes for the report, "Michigan Teachers Who Are Not Teaching: Who Are They, and What Would Motivate Them to Teach?" This study analyzed teacher certification and employment data and data from a survey of certified teachers who were not teaching in a Michigan public school in 2017/18 to gather information on the…
Descriptors: Public School Teachers, Teacher Motivation, Teacher Characteristics, Teacher Certification
Enakshi Saha – ProQuest LLC, 2021
We study flexible Bayesian methods that are amenable to a wide range of learning problems involving complex high dimensional data structures, with minimal tuning. We consider parametric and semiparametric Bayesian models, that are applicable to both static and dynamic data, arising from a multitude of areas such as economics, finance and…
Descriptors: Bayesian Statistics, Probability, Nonparametric Statistics, Data Analysis
Koyuncu, Ilhan – Journal of Curriculum and Teaching, 2020
This study aimed to examine the importance levels of mathematics-specific trend variables in PISA (Programme for International Student Assessment) 2003 and 2012 in predicting mathematics performance across years with a two-step analysis method. The sample of the study was 9703 Turkish students (N[subscript 2003]=4855 and N[subscript 2012]=4848)…
Descriptors: International Assessment, Foreign Countries, Secondary School Students, Achievement Tests
Furnham, Adrian; Grover, Simmy – Journal of Intelligence, 2020
This paper reports two studies examining correlates of self-estimated intelligence (SEI). In the first, 517 participants completed a measure of SEI as well as self-estimated emotional intelligence (SEEQ), physical attractiveness, health, and other ratings. Males rated their IQ higher (74.12 vs. 71.55) but EQ lower (68.22 vs. 71.81) than females…
Descriptors: Self Evaluation (Individuals), Intelligence, Correlation, Self Concept
Zhang, Yanhui – Advances in Language and Literary Studies, 2020
This paper takes a system dynamic approach to study homogeneous texts where the dynamics of the lexical richness of such texts over time are of the focal concern. It is hypothesized that the progress of the lexical complexity is driven by how far away this process is from the maximum level of complexity, while is subject to the fluctuations due to…
Descriptors: Difficulty Level, Models, Validity, Language Research
Liu, Qimeng; Liu, Jian; Cai, Jinfa; Zhang, Zhikun – Educational Studies in Mathematics, 2020
This study explored 1634 Chinese eighth-grade students' domain- and task-specific self-efficacy and its relationship to their problem-posing performance. In particular, the linear regression model, generalized additive model (GAM), and piecewise regression model (PRM) were used to detail the linear and non-linear relationships between these…
Descriptors: Self Efficacy, Problem Solving, Mathematics Instruction, Mathematics Achievement
Moeyaert, Mariola; Akhmedjanova, Diana; Ferron, John; Beretvas, S. Natasha; Van den Noortgate, Wim – Grantee Submission, 2020
The methodology of single-case experimental designs (SCED) has been expanding its efforts toward rigorous design tactics to address a variety of research questions related to intervention effectiveness. Effect size indicators appropriate to quantify the magnitude and the direction of interventions have been recommended and intensively studied for…
Descriptors: Effect Size, Research Methodology, Research Design, Hierarchical Linear Modeling
Miocevic, Milica; Klaassen, Fayette; Geuke, Gemma; Moeyaert, Mariola; Maric, Marija – Grantee Submission, 2020
Single-Case Experimental Designs (SCEDs) have lately been recognized as a valuable alternative tolarge group studies. SCEDs form a great tool for the evaluation of treatment effectiveness in heterogeneous and low-incidence conditions, which are common in the field of communication disorders. Mediation analysis is indispensable in treatment…
Descriptors: Bayesian Statistics, Computation, Intervention, Case Studies
What Works Clearinghouse, 2020
The What Works Clearinghouse (WWC) systematic review process is the basis of many of its products, enabling the WWC to use consistent, objective, and transparent standards and procedures in its reviews, while also ensuring comprehensive coverage of the relevant literature. The WWC systematic review process consists of five steps: (1) Developing…
Descriptors: Educational Research, Evaluation Methods, Research Reports, Standards
Bahr, Peter Riley; Jones, Elizabeth S.; Skiles, Joshua – Community College Review, 2023
Objective: Community colleges have considerable potential to grow the number of individuals who complete STEM baccalaureate degrees and to broaden access to educational opportunities in STEM. However, efforts to tap this potential have been hampered by nagging questions about whether community colleges prepare students adequately for advanced STEM…
Descriptors: College Transfer Students, Guided Pathways, STEM Education, College Readiness
Brunner, Martin; Keller, Lena; Stallasch, Sophie E.; Kretschmann, Julia; Hasl, Andrea; Preckel, Franzis; Lüdtke, Oliver; Hedges, Larry V. – Research Synthesis Methods, 2023
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…
Descriptors: Meta Analysis, Surveys, Research Design, Educational Research

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