NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 256 to 270 of 1,593 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jaime León; Fernando Martínez-Abad – Large-scale Assessments in Education, 2025
Background: Grade retention is an educational aspect that concerns teachers, families, and experts. It implies an economic cost for families, as well as a personal cost for the student, who is forced to study one more year. The objective of the study was to evaluate the effect of course repetition on math, science and reading competencies, and…
Descriptors: Grade Repetition, Academic Achievement, Scores, Foreign Countries
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Allison N. Vautier; Kellie J. Enns; Caitlin N. Cadaret – NACTA Journal, 2023
The COVID-19 pandemic has greatly affected higher education, but when learning shifted to an online environment it provided an opportunity to gain insight into how classroom format influences student performance and preferences. Thus, our objective was to assess student performance across classroom types, along with student perceptions of…
Descriptors: Undergraduate Students, COVID-19, Pandemics, Zoology
Peer reviewed Peer reviewed
Direct linkDirect link
Costanza Tortú; Irene Crimaldi; Fabrizia Mealli; Laura Forastiere – Sociological Methods & Research, 2024
Policy evaluation studies, which assess the effect of an intervention, face statistical challenges: in real-world settings treatments are not randomly assigned and the analysis might be complicated by the presence of interference among units. Researchers have started to develop methods that allow to manage spillovers in observational studies;…
Descriptors: Foreign Countries, Immigration, Foreign Policy, Causal Models
Peer reviewed Peer reviewed
Direct linkDirect link
Reza Zabihi; Shiva Ghominejad; Mohammad Javad Ahmadian – Language Teaching Research, 2024
This study aimed to investigate whether and how willingness to communicate, communication in English anxiety, behavioural inhibition and action predict perceived second language (L2) fluency. The study also looked at whether L2 proficiency moderates the strength of relationships between these affective factors and L2 perceived fluency. One hundred…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
Michael Galperin – ProQuest LLC, 2024
I use rich administrative data and several quasi-experiments in Texas to study which students benefit most from college grant aid and why. For "extensive-margin" students, grant aid causes enrollment in college, and therefore has potentially large benefits relative to these students' no-college counterfactual. In contrast,…
Descriptors: Student Financial Aid, Grants, College Attendance, Financial Support
Peer reviewed Peer reviewed
Direct linkDirect link
Danielle Sanderson Edwards; Matthew A. Kraft; Alvin Christian; Christopher A. Candelaria – Grantee Submission, 2024
We develop a conceptual framework for understanding and predicting teacher shortages at the state, region, district, and school levels. We then empirically examine how teacher shortages vary geographically and by subject using data on unfilled teaching positions in Tennessee traditional public schools during Fall 2019. We find that teacher…
Descriptors: Teacher Shortage, Faculty Mobility, Predictor Variables, Public School Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Mark J. Chin – Grantee Submission, 2024
In this paper I study how school desegregation by race following "Brown v. Board of Education" affected White individuals' racial attitudes and politics in adulthood. I use geocoded nationwide data from the General Social Survey and difference-in-differences to identify causal impacts. Integration significantly reduced White individuals'…
Descriptors: Desegregation Effects, School Desegregation, Racial Attitudes, Racial Relations
Peer reviewed Peer reviewed
Direct linkDirect link
Wodtke, Geoffrey T. – Sociological Methods & Research, 2020
Social scientists are often interested in estimating the marginal effects of a time-varying treatment on an end-of-study continuous outcome. With observational data, estimating these effects is complicated by the presence of time-varying confounders affected by prior treatments, which may lead to bias in conventional regression and matching…
Descriptors: Regression (Statistics), Computation, Statistical Analysis, Statistical Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Elwert, Felix; Pfeffer, Fabian T. – Sociological Methods & Research, 2022
Conventional advice discourages controlling for postoutcome variables in regression analysis. By contrast, we show that controlling for commonly available postoutcome (i.e., future) values of the treatment variable can help detect, reduce, and even remove omitted variable bias (unobserved confounding). The premise is that the same unobserved…
Descriptors: Bias, Regression (Statistics), Evaluation Methods, Research
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Hsi-Hsun; Lin, Yi-Tzu – SAGE Open, 2022
College students' graduation projects reflect their teamwork abilities. The current research develops a practical framework and causal model of knowledge-sharing behavior, cohesion, and team performance for design college students in Taiwan. Using survey data collected from 115 students who completed their graduation projects in a design college,…
Descriptors: College Students, Student Projects, Design, Teamwork
Wilhelmina van Dijk; Cynthia U. Norris; Sara A. Hart – Grantee Submission, 2022
Randomized control trials are considered the pinnacle for causal inference. In many cases, however, randomization of participants in social work research studies is not feasible or ethical. This paper introduces the co-twin control design study as an alternative quasi-experimental design to provide evidence of causal mechanisms when randomization…
Descriptors: Twins, Research Design, Randomized Controlled Trials, Quasiexperimental Design
Peer reviewed Peer reviewed
Direct linkDirect link
Kylie Anglin – Society for Research on Educational Effectiveness, 2022
Background: For decades, education researchers have relied on the work of Campbell, Cook, and Shadish to help guide their thinking about valid impact estimates in the social sciences (Campbell & Stanley, 1963; Shadish et al., 2002). The foundation of this work is the "validity typology" and its associated "threats to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Validity
Michelle L. Bianco – ProQuest LLC, 2024
The purpose of this quantitative, non-experimental, causal-comparative study is to determine if there is a difference in the writing motivation of students with attention-deficit/hyperactivity disorder (ADHD) and students without ADHD in online college composition I courses. The study of writing motivation in relation to ADHD in online college…
Descriptors: Student Motivation, Attention Deficit Hyperactivity Disorder, Electronic Learning, Writing Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Keith Cochran; Clayton Cohn; Peter Hastings; Noriko Tomuro; Simon Hughes – International Journal of Artificial Intelligence in Education, 2024
To succeed in the information age, students need to learn to communicate their understanding of complex topics effectively. This is reflected in both educational standards and standardized tests. To improve their writing ability for highly structured domains like scientific explanations, students need feedback that accurately reflects the…
Descriptors: Science Process Skills, Scientific Literacy, Scientific Concepts, Concept Formation
Peer reviewed Peer reviewed
Direct linkDirect link
Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
Pages: 1  |  ...  |  14  |  15  |  16  |  17  |  18  |  19  |  20  |  21  |  22  |  ...  |  107