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Articles 1 - 4 of 4
Full-Text Articles in Experimental Analysis of Behavior
The Effect Of Model Size On The Root Mean Square Error Of Approximation (Rmsea): The Nonnormal Case, Yunhang Yin
The Effect Of Model Size On The Root Mean Square Error Of Approximation (Rmsea): The Nonnormal Case, Yunhang Yin
Theses and Dissertations
This study aimed to understand the effect of model size on the Root Mean Square Error of Approximation (RMSEA) under nonnormal data. We considered three methods for computing the sample RMSEA and the associated confidence intervals (i.e., the normal theory method [Browne & Cudeck, 1993], the BSL method [Brosseau-Liard, Savalei & Li, 2012], and the Lai method [Lai, 2020]). The performance of the three methods was compared across various model sizes, sample sizes, levels of misspecification, and levels of nonnormality. Results indicated that the normal theory RMSEA should not be used under nonnormal data unless the model size is very …
Neural Correlates Of Audiovisual Integration, Jonathan Conrady
Neural Correlates Of Audiovisual Integration, Jonathan Conrady
Theses and Dissertations
Successfully integrating multiple streams of information is paired with a variety of behavioral enhancements. Multisensory research over the past few decades has demonstrated the criticality of spatial proximity and stimulus effectiveness. Here, we focused on the temporal aspects and underlying neural activity of frequency-varying, audiovisual stimuli using scalp recorded electroencephalography (EEG). Our set of stimuli was particularly chosen because humans are most sensitive to the auditory sound and visual spatial frequencies that make up speech. Recent work has shown that audiovisual integration effects of low-level, simple stimuli are largest when both modalities fall within, compared to outside of, their respective …
Neural Mechanisms Of Lexical Semantics: Investigating The Roles Of Hubs And Distributed Action-Perception Systems, Nicholas Andrew Riccardi
Neural Mechanisms Of Lexical Semantics: Investigating The Roles Of Hubs And Distributed Action-Perception Systems, Nicholas Andrew Riccardi
Theses and Dissertations
Understanding the meaning of words and concepts is vital for communication, forming relationships, and navigating everyday life. Loss of this knowledge through brain damage can have drastic consequences for one’s health and well-being. It is therefore important to learn how this information is organized anatomically in the brain. In this dissertation, I report a series of structural and functional neuroimaging studies in healthy adults and survivors of stroke seeking to understand how lexical semantics are represented. Specifically, I used a variety of tasks to examine the contributions of putative ‘hubs’ and distributed action-perception systems. Results indicated that damage or disruption …
Using Factor Mixture Modeling To Counter Faking, Raul Corrêa Ferraz
Using Factor Mixture Modeling To Counter Faking, Raul Corrêa Ferraz
Theses and Dissertations
Self-reports (SRs) of typical behavior are often the only existing feasible method to gather data on important drivers of human performance. In applications such as personnel selection, SRs are vulnerable to intentional distortions, often referred to as faking. A review of the literature suggests that so far, the methods proposed to address faking are unsatisfactory. In a recent breakthrough, Pavlov et al. (2019) showed that high-stakes scale scores are best modeled as a function of a) propensity to fake, b) honest scores, and c) the interaction of these two terms. Pavlov et al. did not, however, propose any method to …