A nonparametric technique for analysis of state-trace functions

Benjamin, Aaron S.; Griffin, Michael; Douglas, Jeffrey A.

doi:10.1016/j.jmp.2019.03.006

Cited by 2 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in these STA studies, the quantitative statistical method for STA was Spearman rank correlation, which was insufficient for inferring monotonicity due to the lack of consideration of sampling error ( Kalish et al, 2016 ). Several techniques for quantitative STA have recently been developed ( Prince et al, 2012 ; Kalish et al, 2016 ; Benjamin et al, 2019 ), one of which is based on conjoint monotonic regression (CMR; Kalish et al, 2016 ). CMR compares the goodness-of-fit between a partial order model, in which the x-coordinates have the same partial order as the y-coordinates for all dots, and a monotonic model, in which the two coordinates have the same order as well as monotonically related to each other.…”

Section: Introductionmentioning

confidence: 99%

Multiple latent variables but functionally dependent output mappings underlying the recognition of own- and other-race faces for Chinese individuals: Evidence from state-trace analysis

Liu

Jia²

2022

Front. Psychol.

View full text Add to dashboard Cite

To explore the number of latent variables underlying recognition of own- and other-race faces for Chinese observers, we conducted a study-recognition task where orientation, stimuli type, and duration were manipulated in the study phase and applied state trace analysis as a statistic method. Results showed that each state trace plot on each pair of stimuli types matched a single monotonic curve when stimuli type was set to state factor, but separate curves between face and non-face showed up when the state factor was orientation. The results implied that at least two latent variables affected recognition performance in the inversion paradigm. Besides, the unidimensional structure between own- and other-race faces regardless of the state factor suggested that Chinese participants used the same recognition mechanism for unfamiliar own- and other-race faces in the inversion paradigm.

show abstract