Publication Date
| In 2025 | 31 |
| Since 2024 | 180 |
| Since 2021 (last 5 years) | 344 |
| Since 2016 (last 10 years) | 565 |
| Since 2006 (last 20 years) | 1147 |
Descriptor
| Causal Models | 1586 |
| Foreign Countries | 312 |
| Correlation | 194 |
| Academic Achievement | 167 |
| Statistical Analysis | 153 |
| Inferences | 147 |
| Research Methodology | 145 |
| Comparative Analysis | 125 |
| Predictor Variables | 123 |
| Structural Equation Models | 123 |
| Evaluation Methods | 114 |
| More ▼ | |
Source
Author
| Steiner, Peter M. | 9 |
| Cook, Thomas D. | 8 |
| Sloman, Steven A. | 8 |
| Gopnik, Alison | 7 |
| Grotzer, Tina A. | 7 |
| Tenenbaum, Joshua B. | 7 |
| Hagmayer, York | 6 |
| Raudenbush, Stephen W. | 6 |
| Rehder, Bob | 6 |
| Rubin, Donald B. | 6 |
| Cheng, Patricia W. | 5 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 45 |
| Teachers | 21 |
| Practitioners | 19 |
| Administrators | 6 |
| Policymakers | 5 |
| Counselors | 2 |
| Media Staff | 2 |
| Students | 2 |
| Support Staff | 1 |
Location
| Australia | 26 |
| Turkey | 22 |
| United States | 22 |
| Germany | 21 |
| United Kingdom | 17 |
| Netherlands | 16 |
| China | 15 |
| Spain | 15 |
| Taiwan | 14 |
| California | 10 |
| Florida | 10 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 2 |
| Meets WWC Standards with or without Reservations | 2 |
| Does not meet standards | 3 |
Peer reviewed
Download full text
Direct linkLeah J. Scharlott; Dalton W. Rippey; Vanessa Rosa; Nicole M. Becker – Journal of Chemical Education, 2024
The alignment of teaching and assessment in chemistry courses is critical for the practice of science and positive student learning outcomes. This paper addresses how instructors can align what they do in class with assessments across topics to improve students' understanding and explanations of chemical phenomena. We drew on the foundations of…
Descriptors: Introductory Courses, Chemistry, Science Education, Causal Models
Joong won Lee; Young-Suk Kim – Reading and Writing: An Interdisciplinary Journal, 2024
The aim of this study is to explore the relation of morphological awareness to vocabulary, word reading, and reading comprehension for middle school students in Korea. A total of 121 students (73 boys and 48 girls) in Grade 7 from two middle schools in a metropolitan city in South Korea participated in the study. The students were assessed on the…
Descriptors: Foreign Countries, Middle School Students, Reading Comprehension, Word Recognition
Mohammed Alhwaiti – International Journal of Developmental Disabilities, 2024
The aim was to investigate the mediating role of emotional regulation and emotional expression in the relationship between autistic traits and empathy in Saudi students. Participants were undergraduate students at Umm Al-Qura University. A total of 398 questionnaires were sent out, and 260 valid questionnaires were received. Descriptive statistics…
Descriptors: Foreign Countries, Undergraduate Students, Emotional Response, Self Control
Ting Ye; Ted Westling; Lindsay Page; Luke Keele – Grantee Submission, 2024
The clustered observational study (COS) design is the observational study counterpart to the clustered randomized trial. In a COS, a treatment is assigned to intact groups, and all units within the group are exposed to the treatment. However, the treatment is non-randomly assigned. COSs are common in both education and health services research. In…
Descriptors: Nonparametric Statistics, Identification, Causal Models, Multivariate Analysis
Yuejin Zhou; Wenwu Wang; Tao Hu; Tiejun Tong; Zhonghua Liu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Causal mediation analysis is a popular approach for investigating whether the effect of an exposure on an outcome is through a mediator to better understand the underlying causal mechanism. In recent literature, mediation analysis with multiple mediators has been proposed for continuous and dichotomous outcomes. In contrast, methods for mediation…
Descriptors: Regression (Statistics), Causal Models, Evaluation Methods, Vignettes
Irene Campos-Sánchez; Eva María Navarrete-Muñoz; Dries S. Martens; Isolina Riaño-Galán; Aitana Lertxundi; Sabrina Llop; Mónica Guxens; Cristina Rodríguez-Dehli; Nerea Lertxundi; Raquel Soler-Blasco; Martine Vrijheid; Tim S. Nawrot; John Wright; Tiffany C. Yang; Rosie McEachan; Kristine Bjerve Gützkow; Vaia Lida Chatzi; Marina Vafeiadi; Mariza Kampouri; Regina Grazuleviciene; Sandra Andrusaityte; Johanna Lepeule; Desirée Valera-Gran – Journal of Attention Disorders, 2025
Objective: To explore the association between telomere length (TL) and attention deficit hyperactivity disorder (ADHD) symptoms in children at 6-12 years. Method: Data from 1,759 children belonging to the HELIX project cohorts and the Asturias, Gipuzkoa and Valencia cohorts of INMA project were included. TL was determined by blood sample using a…
Descriptors: Foreign Countries, Genetic Disorders, Attention Deficit Hyperactivity Disorder, Mothers
Kearney, Christopher A.; Childs, Joshua – Improving Schools, 2023
School attendance and absenteeism are critical targets of educational policies and practices that often depend heavily on aggregated attendance/absenteeism data. School attendance/absenteeism data in aggregated form, in addition to having suspect quality and utility, minimizes individual student variation, distorts detailed and multilevel…
Descriptors: Data Analysis, Attendance, Educational Policy, Causal Models
Kitto, Kirsty; Hicks, Ben; Shum, Simon Buckingham – British Journal of Educational Technology, 2023
An extraordinary amount of data is becoming available in educational settings, collected from a wide range of Educational Technology tools and services. This creates opportunities for using methods from Artificial Intelligence and Learning Analytics (LA) to improve learning and the environments in which it occurs. And yet, analytics results…
Descriptors: Causal Models, Learning Analytics, Educational Theories, Artificial Intelligence
Rüttenauer, Tobias; Ludwig, Volker – Sociological Methods & Research, 2023
Fixed effects (FE) panel models have been used extensively in the past, as those models control for all stable heterogeneity between units. Still, the conventional FE estimator relies on the assumption of parallel trends between treated and untreated groups. It returns biased results in the presence of heterogeneous slopes or growth curves that…
Descriptors: Hierarchical Linear Modeling, Monte Carlo Methods, Statistical Bias, Computation
Thomas Cook; Mansi Wadhwa; Jingwen Zheng – Society for Research on Educational Effectiveness, 2023
Context: A perennial problem in applied statistics is the inability to justify strong claims about cause-and-effect relationships without full knowledge of the mechanism determining selection into treatment. Few research designs other than the well-implemented random assignment study meet this requirement. Researchers have proposed partial…
Descriptors: Observation, Research Design, Causal Models, Computation
Shimonovich, Michal; Pearce, Anna; Thomson, Hilary; Katikireddi, Srinivasa Vittal – Research Synthesis Methods, 2022
In fields (such as population health) where randomised trials are often lacking, systematic reviews (SRs) can harness diversity in study design, settings and populations to assess the evidence for a putative causal relationship. SRs may incorporate causal assessment approaches (CAAs), sometimes called 'causal reviews', but there is currently no…
Descriptors: Evidence, Synthesis, Causal Models, Public Health
Jensen, Ruth – Journal of Educational Change, 2022
Causal relationships are traditionally examined in quantitative research. However, this article informs the discussion surrounding the potential use of qualitative data to explore causal relationships qualitatively through an empirical illustration of a school leadership development team. As school leadership development is supposed to offer…
Descriptors: Causal Models, Qualitative Research, Educational Improvement, Principals
Luke W. Miratrix – Grantee Submission, 2022
We are sometimes forced to use the Interrupted Time Series (ITS) design as an identification strategy for potential policy change, such as when we only have a single treated unit and cannot obtain comparable controls. For example, with recent county- and state-wide criminal justice reform efforts, where judicial bodies have changed bail setting…
Descriptors: Causal Models, Case Studies, Quasiexperimental Design, Monte Carlo Methods
Matthew Truwit – Society for Research on Educational Effectiveness, 2022
With a growing consensus that students require more than purely academic support, schools across the country have increasingly adopted the community school model, a comprehensive approach to education focused on holistic student development. In these schools, centrally located site coordinators leverage partnerships with local organizations to…
Descriptors: Community Schools, Integrated Services, Job Satisfaction, Teacher Persistence
Minjung Kim; Christa Winkler; James Uanhoro; Joshua Peri; John Lochman – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Cluster memberships associated with the mediation effect are often changed due to the temporal distance between the cause-and-effect variables in longitudinal data. Nevertheless, current practices in multilevel mediation analysis mostly assume a purely hierarchical data structure. A Monte Carlo simulation study is conducted to examine the…
Descriptors: Hierarchical Linear Modeling, Mediation Theory, Multivariate Analysis, Causal Models
