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Stanley, T. D.; Doucouliagos, Hristos – Research Synthesis Methods, 2023
Partial correlation coefficients are often used as effect sizes in the meta-analysis and systematic review of multiple regression analysis research results. There are two well-known formulas for the variance and thereby for the standard error (SE) of partial correlation coefficients (PCC). One is considered the "correct" variance in the…
Descriptors: Correlation, Statistical Bias, Error Patterns, Error Correction
Rachmawati, Dainita; Suharno, Suharno; Roemintoyo, Roemintoyo – Open Education Studies, 2023
The twenty-first century requires Vocational High School (VHS) graduates to have high-order thinking skills (HOTS). Although HOTS-based learning in VHS has been implemented in Indonesia, the graduates are less creative in complex work. Also, teachers have insufficient knowledge about this learning design. Therefore, the purpose of this study was…
Descriptors: Learning Activities, Instructional Design, Thinking Skills, Vocational High Schools
Rucker, Larra; Zajicek, Anna; Kerr, Brinck – Journal of Early Childhood Teacher Education, 2023
The qualifications that early childhood (EC) teachers attain vary across the 50 states. This variance is likely associated with the differences in state-level childcare licensing policies governing the qualification attainment of EC teachers. This research explores the relationship between childcare licensing policy and the qualifications that EC…
Descriptors: Educational Policy, Early Childhood Teachers, State Policy, Certification
Ke-Hai Yuan; Yongfei Fang – Grantee Submission, 2023
Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and…
Descriptors: Structural Equation Models, Regression (Statistics), Weighted Scores, Comparative Analysis
Ayse Bilicioglu Gunes; Bayram Bicak – International Journal of Assessment Tools in Education, 2023
The main purpose of this study is to examine the Type I error and statistical power ratios of Differential Item Functioning (DIF) techniques based on different theories under different conditions. For this purpose, a simulation study was conducted by using Mantel-Haenszel (MH), Logistic Regression (LR), Lord's [chi-squared], and Raju's Areas…
Descriptors: Test Items, Item Response Theory, Error of Measurement, Test Bias
Watson, Kathryn Joan – ProQuest LLC, 2023
This meta-analysis was designed to examine the effectiveness of school-based mental health interventions. After refining search criteria, 1138 articles were returned from ERIC, EBESCO, and Psychological Behavior Science Collection. Next, article abstracts, and full text were screened to ensure each article met the study criteria before articles…
Descriptors: Meta Analysis, Mental Health, Intervention, School Health Services
Robert B. Olsen; Larry L. Orr; Stephen H. Bell; Elizabeth Petraglia; Elena Badillo-Goicoechea; Atsushi Miyaoka; Elizabeth A. Stuart – Journal of Research on Educational Effectiveness, 2024
Multi-site randomized controlled trials (RCTs) provide unbiased estimates of the average impact in the study sample. However, their ability to accurately predict the impact for individual sites outside the study sample, to inform local policy decisions, is largely unknown. To extend prior research on this question, we analyzed six multi-site RCTs…
Descriptors: Accuracy, Predictor Variables, Randomized Controlled Trials, Regression (Statistics)
Paul Thompson; Kaydee Owen; Richard P. Hastings – International Journal of Research & Method in Education, 2024
Traditionally, cluster randomized controlled trials are analyzed with the average intervention effect of interest. However, in populations that contain higher degrees of heterogeneity or variation may differ across different values of a covariate, which may not be optimal. Within education and social science contexts, exploring the variation in…
Descriptors: Randomized Controlled Trials, Intervention, Mathematics Education, Mathematics Skills
Ernest C. Davenport Jr.; Mark L. Davison; Kyungin Park – Journal of Educational and Behavioral Statistics, 2024
The following study shows how reparameterizations and constraints of the general linear model can serve to parse quantitative and qualitative aspects of predictors. We demonstrate three different approaches. The study uses data from the High School Longitudinal Study of 2009 on mathematics course-taking and achievement as an example. Results show…
Descriptors: High School Students, Mathematics Instruction, Mathematics Achievement, Grade 9
Chen Zhong; J. B. Kim – Journal of Information Systems Education, 2024
Data Analytics has emerged as an essential skill for business students, and several tools are available to support their learning in this area. Due to the students' lack of programming skills and the perceived complexity of R, many business analytics courses employ no-code analytical software like IBM SPSS Modeler. Nonetheless, generative…
Descriptors: Business Education, Regression (Statistics), Programming, Artificial Intelligence
Alexandra M. Pierce; Lisa M. H. Sanetti; Melissa A. Collier-Meek; Austin H. Johnson – Grantee Submission, 2024
Implementation planning is a consultative educator support strategy with preliminary evidence of effectiveness from single-case design research. This meta-analysis investigates the impacts of implementation planning on educator implementation and student outcomes and explores moderators of these relationships. Principles of open science and…
Descriptors: Program Implementation, Educational Planning, Coping, Fidelity
Tong, Guangyu; Guo, Guang – Sociological Methods & Research, 2022
Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields. Combining the results of relevant studies allows researchers to leverage study similarities while modeling potential sources of between-study…
Descriptors: Meta Analysis, Social Science Research, Regression (Statistics), Statistical Bias
Wang, Xuechun; Yao, Jijun; Zhou, Shike – Best Evidence in Chinese Education, 2022
At present, even if the education on hard-working spirit has been emphasized increasingly as an important part of practical education in China's education policy, the reality is still far from satisfactory, because many parents do not provide their children with sufficient opportunities to do housework. Previous studies have indicated that the…
Descriptors: Housework, Academic Achievement, Elementary School Students, Foreign Countries
Malespina, Alysa; Schunn, Christian D.; Singh, Chandralekha – International Journal of STEM Education, 2022
Background: Motivational factors are one active area of research that aims to increase the inclusion of women in physics. One of these factors that has only recently gained traction in physics is intelligence mindset (i.e., the belief that intelligence is either innate and unchangeable or can be developed). We studied 781 students in…
Descriptors: Ability, Gender Differences, Academic Achievement, Physics
Cabero-Almenara, Julio; Guillén-Gámez, Francisco D.; Ruiz-Palmero, Julio; Palacios-Rodríguez, Antonio – British Journal of Educational Technology, 2022
We are experiencing a serious health crisis due to COVID-19 that has a major impact on the field of education. The educational system therefore needs to be updated and innovated, with the addition of digital resources, to adapt the teaching and learning processes to students with disabilities. To meet the goal of high-quality education, teachers…
Descriptors: Technological Literacy, Regression (Statistics), Students with Disabilities, Teacher Competencies