Jonathan E Doriscar
Biographic Data
| ID | 4233112 |
|---|---|
| NAME | Jonathan E Doriscar |
| GIVEN NAMES | Jonathan E |
| FAMILY NAME | Doriscar |
| SIGNATURE | DORISCAR J E |
| AFFILIATIONS | Northwestern University |
| ORCID | 0000-0001-5505-2500 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
The process of racial bias awareness in White Americans
344) make meaning of specific instances of personal racial bias. We used a postpositivist research paradigm (Ponterotto, 2010; Ryan, 2006) to better understand how White adults assigned meaning to their past experiences of perpetuating racial bias. By integrating and expanding models of emotions (Ekman, 1992; Ford et al., 2022; Grzanka et al., 2020; Stephan & Stephan, 1985) and bias justifications (Condor et al., 2006; Crandall & Eshleman, 2003; …
Explorations in Creepiness
This study was designed to explore the role played by ambiguity in the experience of creepiness, as well as the relevance of personality traits for predicting individual differences in susceptibility to getting "creeped out," In an online study, a mixed sample of 278 college undergraduates and adults (60 males, 206 females, 12 nonbinary or chose not to report; Mean age = 31.43, range 18-68) recruited through social network platforms filled out sc…
From Data to Discovery
The study of how cognition and society interact is a complex endeavor that demands multiple methods and tools. Yet research in social cognition has only begun to capitalize on unsupervised machine learning (UML) tools that can uncover hidden patterns in data. In this tutorial, we introduce UML as a complementary approach to traditional statistical methods. We illustrate four methods (K-means clustering, Density-Based Clustering of Applications Wi…
When the specter of the past haunts current groups
Groups have committed historical wrongs (e.g., genocide, slavery). We investigated why people blame current groups who were not involved in the original historical wrong for the actions of their predecessors who committed these wrongs and are no longer alive. Current models of individual and group blame overlook the dimension of time and therefore have difficulty explaining this phenomenon using their existing criteria like causality, intentional…
From Data to Discovery
The study of how cognition and society interact is a complex endeavor that demands multiple methods and tools. Yet research in social cognition has only begun to capitalize on unsupervised machine learning (UML) tools that can uncover hidden patterns in data. In this tutorial, we introduce UML as a complementary approach to traditional statistical methods. We illustrate four methods (K-means clustering, Density-Based Clustering of Applications Wi…
When the specter of the past haunts current groups
Groups have committed historical wrongs (e.g., genocide, slavery). We investigated why people blame current groups who were not involved in the original historical wrong for the actions of their predecessors who committed these wrongs and are no longer alive. Current models of individual and group blame overlook the dimension of time and therefore have difficulty explaining this phenomenon using their existing criteria like causality, intentional…
Explorations in Creepiness
This study was designed to explore the role played by ambiguity in the experience of creepiness, as well as the relevance of personality traits for predicting individual differences in susceptibility to getting "creeped out," In an online study, a mixed sample of 278 college undergraduates and adults (60 males, 206 females, 12 nonbinary or chose not to report; Mean age = 31.43, range 18-68) recruited through social network platforms filled out sc…
From Data to Discovery
The study of how cognition and society interact is a complex endeavor that demands multiple methods and tools. Yet research in social cognition has only begun to capitalize on unsupervised machine learning (UML) tools that can uncover hidden patterns in data. In this tutorial, we introduce UML as a complementary approach to traditional statistical methods. We illustrate four methods (K-means clustering, Density-Based Clustering of Applications Wi…
The process of racial bias awareness in White Americans
344) make meaning of specific instances of personal racial bias. We used a postpositivist research paradigm (Ponterotto, 2010; Ryan, 2006) to better understand how White adults assigned meaning to their past experiences of perpetuating racial bias. By integrating and expanding models of emotions (Ekman, 1992; Ford et al., 2022; Grzanka et al., 2020; Stephan & Stephan, 1985) and bias justifications (Condor et al., 2006; Crandall & Eshleman, 2003; …
Psychology (3 works) · Ambiguity (1 works) · Ambiguity tolerance (1 works) · Blame (1 works) · Cognition (1 works) · Cognitive psychology (1 works) · Cognitive science (1 works) · Cultural Differences and Values (1 works) · Death Anxiety and Social Exclusion (1 works) · Emotions and Moral Behavior (1 works)