<p>This data paper presents a dataset, of 12,361 observations compiled from the Happiness Meanders project, which explores cultural variations in individual and family well-being, ideal and actual happiness, emotional experiences and expressions, and cultural models of selfhood across 48 countries. Participants were recruited through academic networks. Data were collected using standardised scales, including the Satisfaction with Life Scale, the Interdependent Happiness Scale, the Cultural Models of Selfhood Scale, and the Emotional Experience and Expression inspired by Affect Valuation Index. The dataset underwent thorough technical validation, including checks for variable consistency, handling missing data, and identifying potential response biases. A filter for data quality was applied, with potentially unreliable data flagged for exclusion. This dataset offers a valuable resource for examining cultural influences on emotional dynamics (frequence of experience and expression), individual and family oriented evaluations of happiness, ideal and actual evaluation of happiness, cultural models of selfhood, and can support further research in cross-cultural psychology and related social sciences.</p>

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Happiness Meanders: A cross-cultural dataset on happiness, emotions, and models of selfhood from 48 countries

  • Kuba Krys,
  • Julien Teyssier,
  • Valentin El Sayed,
  • Olga Magdalena Gajewska,
  • Agata Kocimska-Bortnowska,
  • Aleksandra Kosiarczyk,
  • Iva Poláčková Šolcová,
  • Espen Røysamb,
  • Eric Raymond Igou,
  • Stanislava Stoyanova,
  • Fridanna Maricchiolo,
  • John M. Zelenski,
  • Christin-Melanie Vauclair,
  • Yukiko Uchida,
  • David Sirlopú,
  • Charity Akotia,
  • Isabelle Albert,
  • Lily Appoh,
  • Douglas Marlon Arévalo Mira,
  • Arno Baltin,
  • Patrick Denoux,
  • Alejandra Domínguez Espinosa,
  • Carla Sofia Esteves,
  • Vladimer Gamsakhurdia,
  • Alin Gavreliuc,
  • Diana Boer,
  • Natalia Kascakova,
  • Lucie Klůzová Kračmárová,
  • Olga Kostoula,
  • Nicole Kronberger,
  • Anna Kwiatkowska,
  • Hannah Lee,
  • Magdalena Łużniak-Piecha,
  • Arina Malyonova,
  • Pablo Eduardo Barrientos Marroquin,
  • Tamara Mohorić,
  • Oriana Mosca,
  • Elke Murdock,
  • Nur Fariza Mustaffa,
  • Martin Nader,
  • Azar Nadi,
  • Ayu Okvitawanli,
  • Yvette van Osch,
  • Vassilis Pavlopoulos,
  • Zoran Pavlović,
  • Muhammad Rizwan,
  • Vladyslav Romashov,
  • Rūta Sargautytė,
  • Beate Schwarz,
  • Heyla Selim,
  • Ursula Serdarevich,
  • Maria Stogianni,
  • Chien-Ru Sun,
  • Wijnand van Tilburg,
  • Claudio Torres,
  • Vivian L Vignoles,
  • Cai Xing,
  • Liman Man Wai Li,
  • Vivian Miu-Chi Lun,
  • Michael Harris Bond,
  • June Chun Yeung,
  • Brian W. Haas,
  • Joonha Park,
  • Mladen Adamovic,
  • Ragna Benedikta Gardarsdottir,
  • David Igbokwe,
  • İdil Işık,
  • Aleksandra Buźniak,
  • Márta Fülöp

摘要

This data paper presents a dataset, of 12,361 observations compiled from the Happiness Meanders project, which explores cultural variations in individual and family well-being, ideal and actual happiness, emotional experiences and expressions, and cultural models of selfhood across 48 countries. Participants were recruited through academic networks. Data were collected using standardised scales, including the Satisfaction with Life Scale, the Interdependent Happiness Scale, the Cultural Models of Selfhood Scale, and the Emotional Experience and Expression inspired by Affect Valuation Index. The dataset underwent thorough technical validation, including checks for variable consistency, handling missing data, and identifying potential response biases. A filter for data quality was applied, with potentially unreliable data flagged for exclusion. This dataset offers a valuable resource for examining cultural influences on emotional dynamics (frequence of experience and expression), individual and family oriented evaluations of happiness, ideal and actual evaluation of happiness, cultural models of selfhood, and can support further research in cross-cultural psychology and related social sciences.