Stephen W Carden
Biographic Data
| ID | 183010 |
|---|---|
| NAME | Stephen W Carden |
| GIVEN NAMES | Stephen W |
| FAMILY NAME | Carden |
| SIGNATURE | CARDEN S W |
| AFFILIATIONS | Georgia Southern University, Statesboro, GA, USA |
| ORCID | 0000-0002-4793-7883 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Inferring Grandiose Narcissism From Text
People have long used language to infer associates’ personality. In quantitative research, the relationship is often analyzed by looking at correlations between a psychological construct and the Linguistic Inquiry and Word Count (LIWC)—a program that tabulates word frequencies. We compare LIWC to a machine learning (ML) language model on the task of predicting grandiose narcissism (valid N = 471).We use the ML model discussed in Cutler and Kulis …
Cahost
When using multiple regression, researchers frequently wish to explore how the relationship between two variables is moderated by another variable; this is termed an interaction. Historically, two approaches have been used to probe interactions: the pick-a-point approach and the Johnson-Neyman (JN) technique. The pick-a-point approach has limitations that can be avoided using the JN technique. Currently, the software available for implementing th…
No prominent works on this page.
Cahost
When using multiple regression, researchers frequently wish to explore how the relationship between two variables is moderated by another variable; this is termed an interaction. Historically, two approaches have been used to probe interactions: the pick-a-point approach and the Johnson-Neyman (JN) technique. The pick-a-point approach has limitations that can be avoided using the JN technique. Currently, the software available for implementing th…
Inferring Grandiose Narcissism From Text
People have long used language to infer associates’ personality. In quantitative research, the relationship is often analyzed by looking at correlations between a psychological construct and the Linguistic Inquiry and Word Count (LIWC)—a program that tabulates word frequencies. We compare LIWC to a machine learning (ML) language model on the task of predicting grandiose narcissism (valid N = 471).We use the ML model discussed in Cutler and Kulis …
Computer Science (2 works) · Psychology (2 works) · Advanced Statistical Methods and Models (1 work) · Advanced Statistical Modeling Techniques (1 work) · Arithmetic (1 work) · Artificial Intelligence (1 work) · Cognitive psychology (1 work) · Concatenation (mathematics) (1 work) · Genetic Associations and Epidemiology (1 work) · Mathematics (1 work)