Extensions of multinomial processing tree models for continuous variables: A simulation study comparing parametric and non-parametric approaches.

ABSTRACT: Both parametric and non-parametric extensions of the multinomial processing tree (MPT) models have been proposed for jointly modeling discrete and continuous variables. Since the two approaches have not yet been compared systematically, we assess their power and robustness in three simulation studies focusing on the weapon identification task. In this context, two statistically equivalent MPT models have been proposed, namely, the preemptive-conflict-resolution model (PCRM) and the default-interventionist model (DIM), which differ only in their assumptions regarding the order of latent processes (i.e., response times, RTs). The first simulation evaluates the calibration and statistical power of the nonstandard goodness-of-fit test for the parametric approach (i.e., the Dzhaparidze-Nikulin

SUBMITTER: Gutkin A 

PROVIDER: S-EPMC12686110 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature