Marie-Jöelle Estrada
Biographic Data
| ID | 7836149 |
|---|---|
| NAME | Marie-Jöelle Estrada |
| GIVEN NAMES | Marie-Jöelle |
| FAMILY NAME | Estrada |
| SIGNATURE | ESTRADA M |
| AFFILIATIONS | Duke University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies
Significance What predicts how happy people are with their romantic relationships? Relationship science—an interdisciplinary field spanning psychology, sociology, economics, family studies, and communication—has identified hundreds of variables that purportedly shape romantic relationship quality. The current project used machine learning to directly quantify and compare the predictive power of many such variables among 11,196 romantic couples. P…
The Analogue-I and the Analogue-Me
The analogue-I and analogue-me refer to mental self-relevant images that take a first-person vs. third-person perspective, respectively. Mental self-analogues are essential for goal setting, planning, and rehearsal of behavioral strategies, but they often fuel emotional and interpersonal problems when people react to their analogue selves as if they were real. This article examines the beneficial and detrimental consequences of the analogue-I and…
No prominent works on this page.
The Analogue-I and the Analogue-Me
The analogue-I and analogue-me refer to mental self-relevant images that take a first-person vs. third-person perspective, respectively. Mental self-analogues are essential for goal setting, planning, and rehearsal of behavioral strategies, but they often fuel emotional and interpersonal problems when people react to their analogue selves as if they were real. This article examines the beneficial and detrimental consequences of the analogue-I and…
Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies
Significance What predicts how happy people are with their romantic relationships? Relationship science—an interdisciplinary field spanning psychology, sociology, economics, family studies, and communication—has identified hundreds of variables that purportedly shape romantic relationship quality. The current project used machine learning to directly quantify and compare the predictive power of many such variables among 11,196 romantic couples. P…
Computer Science (2 works) · Psychology (2 works) · Artificial Intelligence (1 work) · Attachment and Relationship Dynamics (1 work) · Cognitive psychology (1 work) · Counterfactual thinking (1 work) · Emotions and Moral Behavior (1 work) · Evolutionary Psychology and Human Behavior (1 work) · Family Dynamics and Relationships (1 work) · Interpersonal communication (1 work)