Angela M Pazzaglia

Biographic Data

ID8552463
NAMEAngela M Pazzaglia
GIVEN NAMESAngela M
FAMILY NAMEPazzaglia
SIGNATUREPAZZAGLIA A M
AFFILIATIONSUniversity of Massachusetts Amherst
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2013
H-INDEX0

  • A critical comparison of discrete-state and continuous models of recognition memory

    Angela M Pazzaglia, Chad Dube et al.ARTICLEPsychological Bulletin2013

    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

    Chad Dube, Caren M Rotello et al.ARTICLEPsychological Bulletin2013

    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…