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      Who Differentiates by Skin Color? Status Attributions and Skin Pigmentation in Chile

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          Abstract

          A growing body of research has shown that phenotypes and skin pigmentation play a fundamental role in stratification dynamics in Latin American countries. However, the relevance of skin color on status attribution for different status groups has been little studied in the region. This article seeks to broaden the research on phenotypic status cues using Chile as a context for analysis – a Latin American country with a narrow although continuous spectrum of skin tones, marked status differences, and a mostly white elite. We draw on status construction theory to hypothesize that skin pigmentation in Chile has become a status cue, although its heuristic relevance could differ across status groups. Using visual stimuli and a repeated measure design, we studied this relationship and tested whether the use of skin pigmentation as a status cue is conditional upon the status of those categorizing others. The results reveal that participants attribute, on average, lower status to others of darker skin. Besides, skin pigmentation has a conditional effect on the social status of participants: whereas skin pigmentation does not work as a status cue for lower status participants, it is an important status marker for the categorizations that middle and especially higher status participants perform. The phenotypic composition of reference groups of low- and high-status individuals and system justification are discussed as potential explanations for these results.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Birds of a Feather: Homophily in Social Networks

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              The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded

              The coefficient of determination R 2 quantifies the proportion of variance explained by a statistical model and is an important summary statistic of biological interest. However, estimating R 2 for generalized linear mixed models (GLMMs) remains challenging. We have previously introduced a version of R 2 that we called for Poisson and binomial GLMMs, but not for other distributional families. Similarly, we earlier discussed how to estimate intra-class correlation coefficients (ICCs) using Poisson and binomial GLMMs. In this paper, we generalize our methods to all other non-Gaussian distributions, in particular to negative binomial and gamma distributions that are commonly used for modelling biological data. While expanding our approach, we highlight two useful concepts for biologists, Jensen's inequality and the delta method, both of which help us in understanding the properties of GLMMs. Jensen's inequality has important implications for biologically meaningful interpretation of GLMMs, whereas the delta method allows a general derivation of variance associated with non-Gaussian distributions. We also discuss some special considerations for binomial GLMMs with binary or proportion data. We illustrate the implementation of our extension by worked examples from the field of ecology and evolution in the R environment. However, our method can be used across disciplines and regardless of statistical environments.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                03 July 2019
                2019
                : 10
                : 1516
                Affiliations
                [1] 1Institute of Sociology, Pontificia Universidad Católica de Chile , Santiago, Chile
                [2] 2School of Social Sciences, Faculty of Education and Social Sciences, Universidad Andres Bello , Santiago, Chile
                [3] 3Department of Sociology, University of California, San Diego , San Diego, CA, United States
                [4] 4Department of Economics, Faculty of Economics and Business, Universidad de Chile , Santiago, Chile
                Author notes

                Edited by: MarYam Hamedani, Stanford University, United States

                Reviewed by: Bobby K. Cheon, Nanyang Technological University, Singapore; Matthias S. Gobel, University College London, United Kingdom

                *Correspondence: Mauricio Salgado, m.salgado@ 123456unab.cl

                This article was submitted to Cultural Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2019.01516
                6618139
                30713512
                9480d724-d565-45ab-8816-6f7d9b82cce1
                Copyright © 2019 Torres, Salgado, Mackenna and Núñez.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 October 2018
                : 17 June 2019
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 67, Pages: 12, Words: 0
                Funding
                Funded by: Comisión Nacional de Investigación Científica y Tecnológica 10.13039/501100002848
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                chile,inequality,skin pigmentation,status beliefs,status construction theory,whiteness

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