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Higher And Lower Order Factor Analyses Of The Temperament In Middle Childhood Questionnaire., Yuliya Kotelnikova, Thomas M Olino, Daniel N Klein, Sarah V M Mackrell, Elizabeth P Hayden Dec 2017

Higher And Lower Order Factor Analyses Of The Temperament In Middle Childhood Questionnaire., Yuliya Kotelnikova, Thomas M Olino, Daniel N Klein, Sarah V M Mackrell, Elizabeth P Hayden

Brain and Mind Institute Researchers' Publications

The Temperament in Middle Childhood Questionnaire (TMCQ) is a widely used parent-report measure of temperament. However, neither its lower nor higher order structures has been tested via a bottom-up, empirically based approach. We conducted higher and lower order exploratory factor analyses (EFAs) of the TMCQ in a large ( N = 654) sample of 9-year-olds. Item-level EFAs identified 92 items as suitable (i.e., with loadings ≥.40) for constructing lower order factors, only half of which resembled a TMCQ scale posited by the measure's authors. Higher order EFAs of the lower order factors showed that a three-factor structure (Impulsivity/Negative Affectivity, Negative …


Social Media And Cognition, Ana C. Ruiz Pardo Aug 2017

Social Media And Cognition, Ana C. Ruiz Pardo

Electronic Thesis and Dissertation Repository

Social media is an inescapable platform for sharing media and connecting with others. This thesis investigated how social media impacts cognition; specifically, attention. Study 1 investigated typical social media usage patterns and helped gauge which SM platform was most popular. Study 1 revealed three main platforms people used most often: Facebook, Instagram, and Snapchat. Facebook was reported as the most popular social media platform. Study 2 investigated how a social media post impacts cognition. It was hypothesized that participants who posted, with the intention of provoking a reaction from their followers, on their social media prior to performing a cognitive …


Online Neural Monitoring Of Statistical Learning., Laura J Batterink, Ken A Paller May 2017

Online Neural Monitoring Of Statistical Learning., Laura J Batterink, Ken A Paller

Brain and Mind Institute Researchers' Publications

The extraction of patterns in the environment plays a critical role in many types of human learning, from motor skills to language acquisition. This process is known as statistical learning. Here we propose that statistical learning has two dissociable components: (1) perceptual binding of individual stimulus units into integrated composites and (2) storing those integrated representations for later use. Statistical learning is typically assessed using post-learning tasks, such that the two components are conflated. Our goal was to characterize the online perceptual component of statistical learning. Participants were exposed to a structured stream of repeating trisyllabic nonsense words and a …