Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 3 |
Descriptor
Evaluation Methods | 3 |
Comparative Analysis | 2 |
Data Analysis | 2 |
Feedback (Response) | 2 |
Adolescents | 1 |
Adults | 1 |
Age Differences | 1 |
Behavior | 1 |
Brain | 1 |
Child Development | 1 |
Cues | 1 |
More ▼ |
Source
Developmental Psychology | 3 |
Author
Banich, Marie T. | 1 |
Cauffman, Elizabeth | 1 |
Claus, Eric | 1 |
Csibra, Gergely | 1 |
Deligianni, Fani | 1 |
Gergely, Gyorgy | 1 |
Graham, Sandra | 1 |
Krull, Jennifer L. | 1 |
Senju, Atsushi | 1 |
Shulman, Elizabeth P. | 1 |
Steinberg, Laurence | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Evaluative | 2 |
Reports - Research | 1 |
Education Level
Early Childhood Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Deligianni, Fani; Senju, Atsushi; Gergely, Gyorgy; Csibra, Gergely – Developmental Psychology, 2011
The current study tested whether the purely amodal cue of contingency elicits orientation following behavior in 8-month-old infants. We presented 8-month-old infants with automated objects without human features that did or did not react contingently to the infants' fixations recorded by an eye tracker. We found that an object's occasional…
Descriptors: Infants, Social Cognition, Eye Movements, Interaction
Cauffman, Elizabeth; Shulman, Elizabeth P.; Steinberg, Laurence; Claus, Eric; Banich, Marie T.; Graham, Sandra; Woolard, Jennifer – Developmental Psychology, 2010
Contemporary perspectives on age differences in risk taking, informed by advances in developmental neuroscience, have emphasized the need to examine the ways in which emotional and cognitive factors interact to influence decision making. In the present study, a diverse sample of 901 individuals between the ages of 10 and 30 were administered a…
Descriptors: Feedback (Response), Late Adolescents, Adolescents, Adults
Krull, Jennifer L. – Developmental Psychology, 2007
This study investigates the extent to which analytic power can be increased through the inclusion of siblings in a data set and the concomitant use of random coefficient multilevel models. Analyses of real-world data regarding the predictors of young adult alcohol use illustrate how parallel single-level analyses of a 1-child-per-family data set…
Descriptors: Young Adults, Siblings, Simulation, Drinking