Dataset Information

Daily links between Latinx siblings' relationship qualities and mood.

ABSTRACT: This study examined daily links between sibling warmth and negativity and positive and negative mood in middle childhood and the moderating role of enculturation. Participants were 326 Latinx children from 163 families in the United States (M_age = 10.63 and 8.58 years for older and younger siblings, 48.5% female, 89.3% Mexican-origin). Children reported their days' experiences during seven nightly phone interviews conducted in 2018-2019. Multilevel analyses revealed within-person, positive associations between daily sibling warmth and positive mood (OR=1.81,95%CI=[1.25,2.62]) , and sibling negativity and negative mood (OR=3.21,95%CI=[2.12,4.86]) . Moreover, for more enculturated children, odds of positive mood were lower on days when they experienced more sibling negativity than usual. Findings document the significance of Latinx children's daily sibling experiences.

SUBMITTER: Hochgraf AK

PROVIDER: S-EPMC10648281 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Daily links between Latinx siblings' relationship qualities and mood.

Hochgraf Anna K AK Son Daye D Updegraff Kimberly A KA McHale Susan M SM Umaña-Taylor Adriana J AJ

Child development 20220503 5

This study examined daily links between sibling warmth and negativity and positive and negative mood in middle childhood and the moderating role of enculturation. Participants were 326 Latinx children from 163 families in the United States (M<sub>age</sub> = 10.63 and 8.58 years for older and younger siblings, 48.5% female, 89.3% Mexican-origin). Children reported their days' experiences during seven nightly phone interviews conducted in 2018-2019. Multilevel analyses revealed within-person, po ...[more]

PMID: 35502868

Similar Datasets

Project description:Our world is filled with texture. For the human visual system, this is an important source of information for assessing environmental and material properties. Indeed-and presumably for this reason-the human visual system has regions dedicated to processing textures. Despite their abundance and apparent relevance, only recently the relationships between texture features and high-level judgments have captured the interest of mainstream science, despite long-standing indications for such relationships. In this study, we explore such relationships, as these might be used to predict perceived texture qualities. This is relevant, not only from a psychological/neuroscience perspective, but also for more applied fields such as design, architecture, and the visual arts. In two separate experiments, observers judged various qualities of visual textures such as beauty, roughness, naturalness, elegance, and complexity. Based on factor analysis, we find that in both experiments, ~75% of the variability in the judgments could be explained by a two-dimensional space, with axes that are closely aligned to the beauty and roughness judgments. That a two-dimensional judgment space suffices to capture most of the variability in the perceived texture qualities suggests that observers use a relatively limited set of internal scales on which to base various judgments, including aesthetic ones. Finally, for both of these judgments, we determined the relationship with a large number of texture features computed for each of the texture stimuli. We find that the presence of lower spatial frequencies, oblique orientations, higher intensity variation, higher saturation, and redness correlates with higher beauty ratings. Features that captured image intensity and uniformity correlated with roughness ratings. Therefore, a number of computational texture features are predictive of these judgments. This suggests that perceived texture qualities-including the aesthetic appreciation-are sufficiently universal to be predicted-with reasonable accuracy-based on the computed feature content of the textures.

Dataset Information

Daily links between Latinx siblings' relationship qualities and mood.

Publications

Daily links between Latinx siblings' relationship qualities and mood.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets