Department of Human Development and Quantitative Methodology, University of Maryland
Institution data
| Type | INSTITUTE |
|---|---|
| Works | 18 |
| Researchers | 23 |
| Citations | 8 |
| h-index | 1 |
| Coverage | 2017 - 2026 |
Detecting Transition Points in the Slope-Intercept Relation in Linear Latent Growth Models
Integrating Double/Debiased Machine Learning into Doubly Robust Estimators for Causal Inference
Regression Discontinuity Analysis with Latent Variables
Implementation of the Correspondence Test as an S-Curve
Examining the Feasibility of Weighting Opt-In Surveys to Accommodate the Effects of Nonresponse
Incorporating Qualitative Distinctions in Within-Person Effect Analyses
Detecting a Transition Point in the Slope-Intercept Relation in Linear Latent Growth Models
Modeling Disengaged Survey Responding with Response Times as Predictors
Exploring climate scenario plausibility judgments and systems thinking competencies among non-STEM undergraduates
Assessing Fit in Common Factor Models Using Empirical Moment Functions
Beyond utility value interventions
Refugee Children’s Early Development during Attendance of Specialized Preschool Programs and Transition into First Grade in Germany
Discourse and Agency during Scaffolded Middle School Science Instruction
A Developmental-Science Perspective on Social Inequality
An Analytical Framework for Research Questions With Variability as the Outcome or Predictor
Latent Growth Models with Floors, Ceilings, and Random Knots
Latent Growth Curve Analysis with Categorical Data
Nonlinear Growth Models as Measurement Models
Discourse and Agency during Scaffolded Middle School Science Instruction
Detecting Transition Points in the Slope-Intercept Relation in Linear Latent Growth Models
Integrating Double/Debiased Machine Learning into Doubly Robust Estimators for Causal Inference
Regression Discontinuity Analysis with Latent Variables
Implementation of the Correspondence Test as an S-Curve
Examining the Feasibility of Weighting Opt-In Surveys to Accommodate the Effects of Nonresponse
Incorporating Qualitative Distinctions in Within-Person Effect Analyses
Detecting a Transition Point in the Slope-Intercept Relation in Linear Latent Growth Models
Modeling Disengaged Survey Responding with Response Times as Predictors
Exploring climate scenario plausibility judgments and systems thinking competencies among non-STEM undergraduates
Assessing Fit in Common Factor Models Using Empirical Moment Functions
Beyond utility value interventions
Refugee Children’s Early Development during Attendance of Specialized Preschool Programs and Transition into First Grade in Germany
A Developmental-Science Perspective on Social Inequality
An Analytical Framework for Research Questions With Variability as the Outcome or Predictor
Latent Growth Models with Floors, Ceilings, and Random Knots
Latent Growth Curve Analysis with Categorical Data
Nonlinear Growth Models as Measurement Models
Nonlinear Growth Models as Measurement Models
Latent Growth Curve Analysis with Categorical Data
Latent Growth Models with Floors, Ceilings, and Random Knots
A Developmental-Science Perspective on Social Inequality
An Analytical Framework for Research Questions With Variability as the Outcome or Predictor
Beyond utility value interventions
Refugee Children’s Early Development during Attendance of Specialized Preschool Programs and Transition into First Grade in Germany
Discourse and Agency during Scaffolded Middle School Science Instruction
Assessing Fit in Common Factor Models Using Empirical Moment Functions
Implementation of the Correspondence Test as an S-Curve
Examining the Feasibility of Weighting Opt-In Surveys to Accommodate the Effects of Nonresponse
Incorporating Qualitative Distinctions in Within-Person Effect Analyses
Detecting a Transition Point in the Slope-Intercept Relation in Linear Latent Growth Models
Modeling Disengaged Survey Responding with Response Times as Predictors
Exploring climate scenario plausibility judgments and systems thinking competencies among non-STEM undergraduates
Detecting Transition Points in the Slope-Intercept Relation in Linear Latent Growth Models
Integrating Double/Debiased Machine Learning into Doubly Robust Estimators for Causal Inference
Regression Discontinuity Analysis with Latent Variables
| ARTICLE | 18 |
|---|
| 2026 | 3 |
|---|---|
| 2025 | 6 |
| 2024 | 1 |
| 2022 | 3 |
| 2020 | 2 |
| 2019 | 1 |
| 2018 | 1 |
| 2017 | 1 |