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  1. Home
  2. Browse by Author

Browsing by Author "Gomez A."

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    Many labs 2: Investigating variation in replicability across samples and settings
    (SAGE Publications Inc., 2018) Klein R.A.; Ijzerman H.; Vianello M.; Dalla Rosa A.; Hasselman F.; de Vries M.; Podesta L.; Hasselman F.; Podesta L.; Voermans I.P.J.; Adams B.G.; Brandt M.J.; de Bruijn M.; Adams B.G.; Adams R.B.; Nelson A.J.; Pinter B.; Steiner T.G.; Alper S.; Aveyard M.; Maitner A.T.; Axt J.R.; Babalola M.T.; Bahnik S.; Batra R.; Berkics M.; Bernstein M.J.; Berry D.R.; Bialobrzeska O.; Frankowska N.; Karick H.; Osowiecka M.; Binan E.D.; Dagona Z.K.; Gandi J.C.; Karick H.; Bocian K.; Wronska M.K.; Busching R.; Redei A.C.; Cai H.; Cambier F.; Friedman M.; Kervyn N.; Cambier F.; Friedman M.; Kervyn N.; Cantarero K.; Carmichael C.L.; Ceric F.; Sirlopu D.; Ceric F.; Chandler J.; Chandler J.; Chang J.-H.; Chang J.-H.; Chatard A.; Chatard A.; Chen E.E.; Cheong W.; Cicero D.C.; Coen S.; Szeto S.; Coleman J.A.; Joy-Gaba J.A.; Collisson B.; Conway M.A.; Lipsey N.P.; Losee J.E.; Pogge G.; Corker K.S.; Curran P.G.; Cushman F.; Dalgar I.; Davis W.E.; De Schutter L.; Devos T.; de Vries M.; de Vries M.; Dogulu C.; Dozo N.; Dukes K.N.; Dunham Y.; Durrheim K.; Ebersole C.R.; Nosek B.A.; Edlund J.E.; Eller A.; Freyre M.-A.; English A.S.; Finck C.; Jimenez-Leal W.; Galliani E.M.; Ghoshal T.; Giessner S.R.; Gill T.; Packard G.; Gnambs T.; Gnambs T.; Gomez A.; Vazquez A.; Gonzalez R.; Graham J.; Grahe J.E.; Grahek I.; Green E.G.T.; Hai K.; Haigh M.; Myachykov A.; Neave N.; Smith M.A.; Haines E.L.; Hall M.P.; Heffernan M.E.; Hicks J.A.; Houdek P.; Huntsinger J.R.; Mallett R.K.; Huynh H.P.; Inbar Y.; Innes-Ker A.H.; Sundfelt O.K.; John M.-S.; Skorinko J.L.M.; Kamiloglu R.G.; Kappes H.B.; Karabati S.; Keller V.N.; Pilati R.; Kende A.; Ujhelyi A.; Knezevic G.; Kovacs C.; Krueger L.E.; Kurapov G.; Kurtz J.; Welch C.; Lakens D.; Smolders K.C.H.J.; Lazarevic L.B.; Levitan C.A.; Lewis N.A.; Lins S.; Neto F.; Maassen E.; van Aert R.C.M.; van Assen M.A.L.M.; Malingumu W.; Marotta S.A.; Mededovic J.; Mededovic J.; Petrovic B.; Mena-Pacheco F.; Ocampo A.; Vega L.D.; Milfont T.L.; Morris W.L.; Murphy S.C.; Neijenhuijs K.; Neijenhuijs K.; Nichols A.L.; O'donnell S.L.; Oikawa H.; Oikawa M.; Ong E.; Tang A.C.W.; Orosz G.; Perez-Sanchez R.; Smith-Castro V.; Pollmann M.M.H.; Rutchick A.M.; Saavedra P.; Saeri A.K.; Tear M.J.; Salomon E.; Schmidt K.; Schonbrodt F.D.; Spachtholz P.; Sekerdej M.B.; Szumowska E.; Sobkow A.; Traczyk J.; Sowden W.; Srivastava M.; Stouten J.; Street C.N.H.; Tanzer N.; Theriault J.; Thomae M.; Wood M.; Torres D.; Tybur J.M.; van Lange P.A.M.; van der Hulst M.; van 't Veer A.E.; Vasquez-Echeverria A.; Vaughn L.A.; Verniers C.; Verschoor M.; Vranka M.A.; Wichman A.L.; Williams L.A.; Woodzicka J.A.; Young L.; Zelenski J.M.; Zhijia Z.; Nosek B.A.
    © The Author(s) 2018.We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical significance (p <.05), we found that 15 (54%) of the replications provided evidence of a statistically significant effect in the same direction as the original finding. With a strict significance criterion (p <.0001), 14 (50%) of the replications still provided such evidence, a reflection of the extremely highpowered design. Seven (25%) of the replications yielded effect sizes larger than the original ones, and 21 (75%) yielded effect sizes smaller than the original ones. The median comparable Cohen’s ds were 0.60 for the original findings and 0.15 for the replications. The effect sizes were small (< 0.20) in 16 of the replications (57%), and 9 effects (32%) were in the direction opposite the direction of the original effect. Across settings, the Q statistic indicated significant heterogeneity in 11 (39%) of the replication effects, and most of those were among the findings with the largest overall effect sizes; only 1 effect that was near zero in the aggregate showed significant heterogeneity according to this measure. Only 1 effect had a tau value greater than.20, an indication of moderate heterogeneity. Eight others had tau values near or slightly above.10, an indication of slight heterogeneity. Moderation tests indicated that very little heterogeneity was attributable to the order in which the tasks were performed or whether the tasks were administered in lab versus online. Exploratory comparisons revealed little heterogeneity between Western, educated, industrialized, rich, and democratic (WEIRD) cultures and less WEIRD cultures (i.e., cultures with relatively high and low WEIRDness scores, respectively). Cumulatively, variability in the observed effect sizes was attributable more to the effect being studied than to the sample or setting in which it was studied.
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    Multinational data show that conspiracy beliefs are associated with the perception (and reality) of poor national economic performance
    (John Wiley and Sons Ltd, 2022) Hornsey M.J.; Pearson S.; Kang J.; Jetten J.; Sassenberg K.; Van Lange P.A.M.; Medina L.G.; Amiot C.E.; Ausmees L.; Baguma P.; Barry O.; Becker M.; Bilewicz M.; Castelain T.; Costantini G.; Dimdins G.; Espinosa A.; Finchilescu G.; Friese M.; Gonzalez R.; Goto N.; Gomez A.; Halama P.; Ilustrisimo R.; Jiga-Boy G.M.; Karl J.; Kuppens P.; Loughnan S.; Markovikj M.; Mastor K.A.; McLatchie N.; Novak L.M.; Onyekachi B.N.; Peker M.; Rizwan M.; Schaller M.; Suh E.M.; Talaifar S.; Tong E.M.W.; Torres A.; Turner R.N.; Vauclair C.-M.; Vinogradov A.; Wang Z.; Yeung V.W.L.; Bastian B.
    © 2022 The Authors. European Journal of Social Psychology published by John Wiley & Sons Ltd.While a great deal is known about the individual difference factors associated with conspiracy beliefs, much less is known about the country-level factors that shape people's willingness to believe conspiracy theories. In the current article we discuss the possibility that willingness to believe conspiracy theories might be shaped by the perception (and reality) of poor economic performance at the national level. To test this notion, we surveyed 6723 participants from 36 countries. In line with predictions, propensity to believe conspiracy theories was negatively associated with perceptions of current and future national economic vitality. Furthermore, countries with higher GDP per capita tended to have lower belief in conspiracy theories. The data suggest that conspiracy beliefs are not just caused by intrapsychic factors but are also shaped by difficult economic circumstances for which distrust might have a rational basis.
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    Perceiving societal pressure to be happy is linked to poor well-being, especially in happy nations
    (Nature Research, 2022) Dejonckheere E.; Dejonckheere E.; Kuppens P.; Rhee J.J.; Bastian B.; Baguma P.K.; Barry O.; Becker M.; Bilewicz M.; Castelain T.; Costantini G.; Dimdins G.; Espinosa A.; Finchilescu G.; Friese M.; Gastardo-Conaco M.C.; Gomez A.; Gonzalez R.; Goto N.; Halama P.; Hurtado-Parrado C.; Jiga-Boy G.M.; Karl J.A.; Novak L.; Ausmees L.; Loughnan S.; Mastor K.A.; McLatchie N.; Onyishi I.E.; Rizwan M.; Schaller M.; Serafimovska E.; Suh E.M.; Swann W.B.; Tong E.M.W.; Torres A.; Turner R.N.; Vinogradov A.; Wang Z.; Yeung V.W.-L.; Amiot C.E.; Boonyasiriwat W.; Peker M.; Van Lange P.A.M.; Vauclair C.-M.
    © 2022, The Author(s).Happiness is a valuable experience, and societies want their citizens to be happy. Although this societal commitment seems laudable, overly emphasizing positivity (versus negativity) may create an unattainable emotion norm that ironically compromises individual well-being. In this multi-national study (40 countries; 7443 participants), we investigate how societal pressure to be happy and not sad predicts emotional, cognitive and clinical indicators of well-being around the world, and examine how these relations differ as a function of countries’ national happiness levels (collected from the World Happiness Report). Although detrimental well-being associations manifest for an average country, the strength of these relations varies across countries. People’s felt societal pressure to be happy and not sad is particularly linked to poor well-being in countries with a higher World Happiness Index. Although the cross-sectional nature of our work prohibits causal conclusions, our findings highlight the correlational link between social emotion valuation and individual well-being, and suggest that high national happiness levels may have downsides for some.
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    Worldviews about change: Their structure and their implications for understanding responses to sustainability, technology, and political change
    (Springer, 2023) Bain P.G.; Bongiorno R.; Tinson K.; Heanue A.; Gomez A.; Guan Y.; Lebedeva N.; Kashima E.; Gonzalez R.; Chen S.X.; Blumen S.; Kashima Y.; CEDEUS (Chile)
    © 2023 The Authors. Asian Journal of Social Psychology published by Asian Association of Social Psychology and John Wiley & Sons Australia, Ltd.People hold different perspectives about how they think the world is changing or should change. We examined five of these “worldviews” about change: Progress, Golden Age, Endless Cycle, Maintenance, and Balance. In Studies 1–4 (total N = 2733) we established reliable measures of each change worldview, and showed how these help explain when people will support or oppose social change in contexts spanning sustainability, technological innovations, and political elections. In mapping out these relationships we identify how the importance of different change worldviews varies across contexts, with Balance most critical for understanding support for sustainability, Progress/Golden Age important for understanding responses to innovations, and Golden Age uniquely important for preferring Trump/Republicans in the 2016 US election. These relationships were independent of prominent individual differences (e.g., values, political orientation for elections) or context-specific factors (e.g., self-reported innovativeness for responses to innovations). Study 5 (N = 2140) examined generalizability in 10 countries/regions spanning five continents, establishing that these worldviews exhibited metric invariance, but with country/region differences in how change worldviews were related to support for sustainability. These findings show that change worldviews can act as a general “lens” people use to help determine whether to support or oppose social change.

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