Open Access. Powered by Scholars. Published by Universities.®
Experimental Analysis of Behavior Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Advanced sentiment analysis; digital epidemiology; geographic information system; geo-social media; hotspots; post-disaster mental health; psychogeography; spatial epidemiology; spatial regimes regression; Twitter data (1)
- Emotional intelligence; Geneva Emotional Competence Test (GECo); Cattell-Horn-Carroll (CHC) theory; multidimensionality; S-1 Bifactor Modeling (1)
- Everyday memory; down syndrome; intellectual disabilities; verbal memory; list learning; ecologically valid (1)
Articles 1 - 3 of 3
Full-Text Articles in Experimental Analysis of Behavior
Everyday Memory In People With Down Syndrome, Yingying Yang, Zachary M. Himmelberger, Trent Robinson, Megan Davis, Frances Conners, Edward Merrill
Everyday Memory In People With Down Syndrome, Yingying Yang, Zachary M. Himmelberger, Trent Robinson, Megan Davis, Frances Conners, Edward Merrill
Department of Psychology Faculty Scholarship and Creative Works
Although memory functions in people with Down Syndrome (DS) have been studied extensively, how well people with DS remember things about everyday life is not well understood. In the current study, 31 adolescents/young adults with DS and 26 with intellectual disabilities (ID) of mixed etiology (not DS) participated. They completed an everyday memory questionnaire about personal facts and recent events (e.g., school name, breakfast). They also completed a standard laboratory task of verbal long-term memory (LTM) where they recalled a list of unrelated words over trials. Results did not indicate impaired everyday memory, but impaired verbal LTM, in people with …
How Multidimensional Is Emotional Intelligence? Bifactor Modeling Of Global And Broad Emotional Abilities Of The Geneva Emotional Competence Test, Daniel Simonet, Katherine E. Miller, Kevin Askew, Kenneth Sumner, Marcello Mortillaro, Katja Schlegel
How Multidimensional Is Emotional Intelligence? Bifactor Modeling Of Global And Broad Emotional Abilities Of The Geneva Emotional Competence Test, Daniel Simonet, Katherine E. Miller, Kevin Askew, Kenneth Sumner, Marcello Mortillaro, Katja Schlegel
Department of Psychology Faculty Scholarship and Creative Works
Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence (EI) branches predict distinct criteria related to adjustment and motivation. Using a combination of classical and S-1 bifactor models, we find that (a) a first-order oblique and bifactor model provide excellent and comparably fitting representation of an EI structure with self-regulatory skills operating independent of general ability, (b) residualized EI abilities uniquely predict criteria over general cognitive ability as referenced by fluid intelligence, and (c) emotion recognition and regulation incrementally predict grade point …
Spatio-Temporal Distribution Of Negative Emotions In New York City After A Natural Disaster As Seen In Social Media, Oliver Gruebner, Sarah R. Lowe, Martin Sykora, Ketan Shankardass, Sv Subramanian, Sandro Galea
Spatio-Temporal Distribution Of Negative Emotions In New York City After A Natural Disaster As Seen In Social Media, Oliver Gruebner, Sarah R. Lowe, Martin Sykora, Ketan Shankardass, Sv Subramanian, Sandro Galea
Department of Psychology Faculty Scholarship and Creative Works
Disasters have substantial consequences for population mental health. We used Twitter to (1) extract negative emotions indicating discomfort in New York City (NYC) before, during, and after Superstorm Sandy in 2012. We further aimed to (2) identify whether pre- or peri-disaster discomfort were associated with peri- or post-disaster discomfort, respectively, and to (3) assess geographic variation in discomfort across NYC census tracts over time. Our sample consisted of 1,018,140 geo-located tweets that were analyzed with an advanced sentiment analysis called ”Extracting the Meaning Of Terse Information in a Visualization of Emotion” (EMOTIVE). We calculated discomfort rates for 2137 NYC census …