La base de données HBSC24_S4 du paquet hecedsm contient des données pour l’étude 4 de Huang et al. (2024).
remotes::install_github("lbelzile/hecedsm")
data(HBSC24_S4, package = "hecedsm")
?hecedsm::HBSC24_S4
# Ajuster un modèle pour l'authenticité selon l'état d'esprit
mod <- lm(authenticity ~ cond, data = HBSC24_S4)
(emm <- emmeans::emmeans(mod, specs = "cond"))
emm |>
contrasts(
method = list(C1 = c(), # spécifier contraste 1 ici
C2 = c())) # spécifier contraste 2 iciLes résultats suivants sont extraits de la section D Authenticity and Social Learning Behavior des annexes en ligne.
We ran a regression with contrast coding to examine the role of mindset on perceived authenticity. Participants who reflected on their goal attainment as a transformation perceived their current state to be more authentic \((M = 5.98\), \(\text{SD} = .82)\) compared to participants who wrote about distancing from old state or arriving at a new state \((M_{\text{old}} = 5.62\), \(\text{SD} = 1.18\); \(M_{\text{new}} = 5.74\), \(\text{SD} = 1.07\), contrast 1: \(b = .10\), \(\text{SE} = .04\), \(t(259) = 2.21\), \(p = .028).\)
Further, there was no difference between participants who reflected on their goal attainment as distancing from an old state compared to arriving at a new state (contrast 2: \(b = .06\), \(\text{SE} = .08\), \(t(259) = .79\), \(p = .433).\)
We next examined how perceived authenticity affects information sharing. As expected, authenticity positively predicted information sharing (\(b = 6.84\), \(\text{SE} = 1.87\), \(t(260) = 3.66\), \(p <.001\)).
change, new et old (ordre alphabétique).cond).words sur authenticity et vérifiez si la corrélation est significative.