Denis G Dumas
Biographic Data
| ID | 5742594 |
|---|---|
| NAME | Denis G Dumas |
| GIVEN NAMES | Denis G |
| FAMILY NAME | Dumas |
| SIGNATURE | DUMAS D G |
| AFFILIATIONS | University of Denver |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Understanding the Dynamics of Dosage Response
Researchers have noted a nonlinear association between reading instruction dosage (i.e., hours of instruction) and reading outcomes for Grade K–3 students with reading difficulties (K–3 SWRD). In this article, we propose a nonlinear meta-analysis as a method to identify both the maximum effect size and optimal dosage of reading interventions for K–3 SWRD using 26 peer-reviewed studies including 186 effect sizes. Results suggested the effect sizes…
Estimating New Quantities from Longitudinal Test Scores to Improve Forecasts of Future Performance
Psychometric models for longitudinal test scores typically estimate quantities associated with single-administration tests, like ability at each time-point. However, models for longitudinal tests have not considered opportunities to estimate new quantities that are unavailable from single-administration tests. Specifically, we discuss dynamic measurement models – which combine aspects of longitudinal IRT, nonlinear growth models, and dynamic asse…
Increasing the Consequential Validity of Reading Assessment Using Dynamic Measurement Modeling
Dynamic measurement modeling (DMM) has been shown to improve the consequential validity of longitudinal mathematics assessment in the Early Childhood Longitudinal Study-Kindergarten (ECLS-K) database. Here, the authors demonstrate the capability of DMM to similarly improve the consequential validity of ECLS-K reading assessment through the estimation of student-specific learning capacities and growth parameters for reading
Dynamic Measurement Modeling
Single-timepoint educational measurement practices are capable of assessing student ability at the time of testing but are not designed to be informative of student capacity for developing in any particular academic domain, despite commonly being used in such a manner. For this reason, such measurement practice systematically underestimates the potential of students from nondominant socioeconomic or ethnic groups, who may not have had adequate op…
Dynamic Measurement Modeling
Single-timepoint educational measurement practices are capable of assessing student ability at the time of testing but are not designed to be informative of student capacity for developing in any particular academic domain, despite commonly being used in such a manner. For this reason, such measurement practice systematically underestimates the potential of students from nondominant socioeconomic or ethnic groups, who may not have had adequate op…
Dynamic Measurement Modeling
Single-timepoint educational measurement practices are capable of assessing student ability at the time of testing but are not designed to be informative of student capacity for developing in any particular academic domain, despite commonly being used in such a manner. For this reason, such measurement practice systematically underestimates the potential of students from nondominant socioeconomic or ethnic groups, who may not have had adequate op…
Increasing the Consequential Validity of Reading Assessment Using Dynamic Measurement Modeling
Dynamic measurement modeling (DMM) has been shown to improve the consequential validity of longitudinal mathematics assessment in the Early Childhood Longitudinal Study-Kindergarten (ECLS-K) database. Here, the authors demonstrate the capability of DMM to similarly improve the consequential validity of ECLS-K reading assessment through the estimation of student-specific learning capacities and growth parameters for reading
Estimating New Quantities from Longitudinal Test Scores to Improve Forecasts of Future Performance
Psychometric models for longitudinal test scores typically estimate quantities associated with single-administration tests, like ability at each time-point. However, models for longitudinal tests have not considered opportunities to estimate new quantities that are unavailable from single-administration tests. Specifically, we discuss dynamic measurement models – which combine aspects of longitudinal IRT, nonlinear growth models, and dynamic asse…
Understanding the Dynamics of Dosage Response
Researchers have noted a nonlinear association between reading instruction dosage (i.e., hours of instruction) and reading outcomes for Grade K–3 students with reading difficulties (K–3 SWRD). In this article, we propose a nonlinear meta-analysis as a method to identify both the maximum effect size and optimal dosage of reading interventions for K–3 SWRD using 26 peer-reviewed studies including 186 effect sizes. Results suggested the effect sizes…
Mathematics (4 works) · Psychology (4 works) · Educational and Psychological Assessments (3 works) · Statistics (3 works) · Cognitive Abilities and Testing (2 works) · Computer Science (2 works) · Developmental psychology (2 works) · Econometrics (2 works) · Linguistics (2 works) · Mathematics education (2 works)