Caren M Rotello
Biographic Data
| ID | 6633361 |
|---|---|
| NAME | Caren M Rotello |
| GIVEN NAMES | Caren M |
| FAMILY NAME | Rotello |
| SIGNATURE | ROTELLO C M |
| AFFILIATIONS | University of Massachusetts Amherst |
| ORCID | 0000-0002-9308-4818 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 0 |
Memory for license plates
The ability of an eyewitness to recall a briefly viewed license plate is an understudied issue with great practical significance. Using large samples of adult participants (total N 1,859), we assessed the memory implications of a current proposal (EZ-ID, n.d.) to include a nameable symbol, such as a triangle or heart, on standard-issue license plates. In 2 experiments, no overall memory benefit was observed for license plates with symbols compare…
A critical comparison of discrete-state and continuous models of recognition memory
Multinomial processing tree (MPT) models such as the single high-threshold, double high-threshold, and low-threshold models are discrete-state decision models that map internal cognitive events onto overt responses. The apparent benefit of these models is that they provide independent measures of accuracy and response bias, a claim that has motivated their frequent application in many areas of psychological science including perception, item and …
The statistical accuracy and theoretical status of discrete-state MPT models
In "A Critical Comparison of Discrete-State and Continuous Models of Recognition Memory: Implications for Recognition and Beyond," Pazzaglia, Dube, and Rotello (2013) explored the threshold multinomial processing tree (MPT) framework as applied to several domains of experimental psychology. Pazzaglia et al. concluded that threshold MPT analyses require assumptions at the representation and measurement levels that are contradicted by existing data…
No prominent works on this page.
A critical comparison of discrete-state and continuous models of recognition memory
Multinomial processing tree (MPT) models such as the single high-threshold, double high-threshold, and low-threshold models are discrete-state decision models that map internal cognitive events onto overt responses. The apparent benefit of these models is that they provide independent measures of accuracy and response bias, a claim that has motivated their frequent application in many areas of psychological science including perception, item and …
The statistical accuracy and theoretical status of discrete-state MPT models
In "A Critical Comparison of Discrete-State and Continuous Models of Recognition Memory: Implications for Recognition and Beyond," Pazzaglia, Dube, and Rotello (2013) explored the threshold multinomial processing tree (MPT) framework as applied to several domains of experimental psychology. Pazzaglia et al. concluded that threshold MPT analyses require assumptions at the representation and measurement levels that are contradicted by existing data…
Memory for license plates
The ability of an eyewitness to recall a briefly viewed license plate is an understudied issue with great practical significance. Using large samples of adult participants (total N 1,859), we assessed the memory implications of a current proposal (EZ-ID, n.d.) to include a nameable symbol, such as a triangle or heart, on standard-issue license plates. In 2 experiments, no overall memory benefit was observed for license plates with symbols compare…
Computer Science (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Econometrics (2 works) · Mathematics (2 works) · Memory Processes and Influences (2 works) · Multinomial distribution (2 works) · Psychology (2 works) · Algorithm (1 work)