Publication Date
In 2025 | 2 |
Since 2024 | 6 |
Descriptor
Causal Models | 6 |
Multivariate Analysis | 6 |
Regression (Statistics) | 3 |
Evaluation Methods | 2 |
Simulation | 2 |
COVID-19 | 1 |
Case Studies | 1 |
Cognitive Mapping | 1 |
Computation | 1 |
Correlation | 1 |
Diversity | 1 |
More ▼ |
Source
Grantee Submission | 2 |
Structural Equation Modeling:… | 2 |
American Journal of Evaluation | 1 |
International Journal of… | 1 |
Author
Christopher Rhoads | 2 |
Alexander Robitzsch | 1 |
Chuenjai Sukpan | 1 |
David Alemna | 1 |
Jason A. Schoeneberger | 1 |
Jason Schoeneberger | 1 |
Lindsay Page | 1 |
Luke Keele | 1 |
Oliver Lüdtke | 1 |
Philip Haynes | 1 |
Rebecca M. Kuiper | 1 |
More ▼ |
Publication Type
Reports - Research | 6 |
Journal Articles | 4 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Jason Schoeneberger; Christopher Rhoads – Grantee Submission, 2024
Regression discontinuity (RD) designs are increasingly used for causal evaluations. For example, if a student's need for a literacy intervention is determined by a low score on a past performance indicator and that intervention is provided to all students who fall below a cutoff on that indicator, an RD study can determine the intervention's main…
Descriptors: Regression (Statistics), Causal Models, Evaluation Methods, Multivariate Analysis
Jason A. Schoeneberger; Christopher Rhoads – American Journal of Evaluation, 2025
Regression discontinuity (RD) designs are increasingly used for causal evaluations. However, the literature contains little guidance for conducting a moderation analysis within an RDD context. The current article focuses on moderation with a single binary variable. A simulation study compares: (1) different bandwidth selectors and (2) local…
Descriptors: Regression (Statistics), Causal Models, Evaluation Methods, Multivariate Analysis
Chuenjai Sukpan; Rebecca M. Kuiper – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The (Random Intercept) Cross-Lagged Panel Model ((RI-)CLPM) is increasingly used in psychology and related fields to assess the longitudinal relationship of two or more variables on each other. Researchers are interested in the question which of the lagged effects is causally dominant receives considerable attention. However, currently used…
Descriptors: Causal Models, Psychological Studies, Multivariate Analysis, Cognitive Mapping
Alexander Robitzsch; Oliver Lüdtke – Structural Equation Modeling: A Multidisciplinary Journal, 2025
The random intercept cross-lagged panel model (RICLPM) decomposes longitudinal associations between two processes X and Y into stable between-person associations and temporal within-person changes. In a recent study, Bailey et al. demonstrated through a simulation study that the between-person variance components in the RICLPM can occur only due…
Descriptors: Longitudinal Studies, Correlation, Time, Simulation
Philip Haynes; David Alemna – International Journal of Social Research Methodology, 2024
Three quantitative methods are compared for their ability to understand different COVID-19 fatality ratios in 33 OECD countries. Linear regression provides a limited overview without sensitivity to the diversity of cases. Cluster Analysis and Dynamic Patterns Synthesis (DPS) gives scrutiny to the granularity of case similarities and differences,…
Descriptors: COVID-19, Regression (Statistics), Diversity, Multivariate Analysis
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