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Carriedo N, Rodríguez-Villagra OA, Moguilner S, Morales-Sepulveda JP, Huepe-Artigas D, Soto V, Franco-O’Byrne D, Ibáñez A, Bekinschtein TA, Huepe D. Cognitive, emotional, and social factors promoting psychosocial adaptation: a study of latent profiles in people living in socially vulnerable contexts. Front Psychol 2024; 15:1321242. [PMID: 38680276 PMCID: PMC11050042 DOI: 10.3389/fpsyg.2024.1321242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 03/20/2024] [Indexed: 05/01/2024] Open
Abstract
Introduction Social adaptation is a multifaceted process that encompasses cognitive, social, and affective factors. Previous research often focused on isolated variables, overlooking their interactions, especially in challenging environments. Our study addresses this by investigating how cognitive (working memory, verbal intelligence, self-regulation), social (affective empathy, family networks, loneliness), and psychological (locus of control, self-esteem, perceived stress) factors interact to influence social adaptation. Methods We analyzed data from 254 adults (55% female) aged 18 to 46 in economically vulnerable households in Santiago, Chile. We used Latent profile analysis (LPA) and machine learning to uncover distinct patters of socioadaptive features and identify the most discriminating features. Results LPA showed two distinct psychosocial adaptation profiles: one characterized by effective psychosocial adaptation and another by poor psychosocial adaptation. The adaptive profile featured individuals with strong emotional, cognitive, and behavioral self-regulation, an internal locus of control, high self-esteem, lower stress levels, reduced affective empathy, robust family support, and decreased loneliness. Conversely, the poorly adapted profile exhibited the opposite traits. Machine learning pinpointed six key differentiating factors in various adaptation pathways within the same vulnerable context: high self-esteem, cognitive and behavioral self-regulation, low stress levels, higher education, and increased social support. Discussion This research carries significant policy implications, highlighting the need to reinforce protective factors and psychological resources, such as self-esteem, self-regulation, and education, to foster effective adaptation in adversity. Additionally, we identified critical risk factors impacting social adaptation in vulnerable populations, advancing our understanding of this intricate phenomenon.
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Affiliation(s)
- Nuria Carriedo
- Departamento de Psicología Evolutiva y de la Educación, National Distance Education University (UNED), Madrid, Spain
| | - Odir A. Rodríguez-Villagra
- Institute for Psychological Research, University of Costa Rica, Sabanilla, San José, Costa Rica
- Neuroscience Research Center, University of Costa Rica, San José, Costa Rica
| | - Sebastián Moguilner
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Latin American Brain Health, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Juan Pablo Morales-Sepulveda
- University of Sydney Business School, Darlington, NSW, Australia
- Facultad de Educación Psicología y Familia, Universidad Finis Terrae, Santiago, Chile
| | - Daniela Huepe-Artigas
- Facultad de Educación Psicología y Familia, Universidad Finis Terrae, Santiago, Chile
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Vicente Soto
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Daniel Franco-O’Byrne
- Latin American Brain Health, Universidad Adolfo Ibáñez, Santiago, Chile
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
| | - Agustín Ibáñez
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Latin American Brain Health, Universidad Adolfo Ibáñez, Santiago, Chile
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Tristan A. Bekinschtein
- Cambridge Consciousness and Cognition Lab, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - David Huepe
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
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Gühne D, Doebler P, Condon DM, Luo F, Sun L. Validity and Reliability of Automatically Generated Propositional Reasoning Items. EUROPEAN JOURNAL OF PSYCHOLOGICAL ASSESSMENT 2021. [DOI: 10.1027/1015-5759/a000616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract. This study introduces a newly developed public-domain multilingual automatic item generator that creates propositional reasoning (PR) items belonging to 15 item families by using various inference rules. Psychometric properties of the resulting written PR test were investigated in three diverse samples in English, simplified Chinese, and German, respectively. Internal consistency was good to excellent across samples. The ICAR16 short form test of cognitive abilities ( Condon & Revelle, 2014 ) was used to evaluate construct validity. Correlations of ICAR16 scores and PR scores were high. Furthermore, items within families appeared to be equivalent, with only minor differential item functioning between the Chinese- and English-speaking samples. Performance on the PR test was shown to be reasonably stable over the course of 1 week. Differences of total scores between test forms (pen and paper vs. computerized administration) were not detected. Findings suggest that the automatically generated PR test is a valuable instrument for the assessment of propositional reasoning ability.
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Affiliation(s)
- Daniela Gühne
- Department of Statistics, TU Dortmund University, Germany
| | | | - David M. Condon
- Department of Psychology, University of Oregon, Eugene, OR, USA
| | - Fang Luo
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Luning Sun
- The Psychometrics Centre, Cambridge Judge Business School, University of Cambridge, United Kingdom
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