generated pairwise spearman rank order correlation

Regulatory Focus in Predictions About Others

promotionframed vs prevention framed mixed model anova

n=51, 25 females one outlier removed according Cohen et al., 2003
Mpromotion=3.66, SDpromotion=0.81; Mprevention=3.76, SDprevention=0.87, F<1

The Price of Abundance: How a Wealth of Experiences Impoverishes Savoring

r=.48, 95% confidence interval CI=[0.37, 0.58]

Gendered Facial Cues Influence Race Categorizations

Long-Term Correlated Change Between Personality Traits and Perceived Social Support in Middle Adulthood

first established longitudinal measurement model
perceived social support measurement model
assessing relative model fit of nested model
table 3 presents within domain level change correlation
latent constructs of confidence interval

Threats to Social Identity Can Trigger Social Deviance

MControl=1.42, SDControl=1.03; MThreat=1.44, SDThreat=0.84; MNoDifference=1.32, SDNoDifference=0.87, ps>.59

Politicization During the 2012 U.S. Presidential Elections: Bridging the Personal and the Political Through an Identity Content Approach

Lay Theories About Social Class Buffer Lower-Class Individuals Against Poor Self-Rated Health and Negative Affect

nine item overall negative emotions index
regression predicting participants self rated general health index
bootstrap 95% bias corrected confidence interval

Fear Among the Extremes: How Political Ideology Predicts Negative Emotions and Outgroup Derogation

Having Friends and Feeling Lonely: A Daily Process Examination of Transient Loneliness, Socialization, and Drinking Behavior

Lonelinessit-1 + b2it Mon + b3it Wed + b4it Thurs + b5it Fri + b6it Sat + b7it Sun + b8it Evening + eit, b0i=gamma00 + gamma01 Age + gamma02 (M<=>30 - Day Loneliness) + gamma03 Gender + gamma04 Income + gamma05 Neuroticism + u0i, b0i=gamma00 + gamma01 Age + gamma02 (M<=>30 - Day Loneliness) + gamma03 Gender + gamma04 Income + gamma05 Neuroticism + gamma06 Social Support + u0i, b1i=gamma10 + gamma11 Gender + gamma12 SocialSupport + u1
b=.02, p=.05 exponentiated slope estimate=1.02, 95% CI=[1.00, 1.05]
b=-.24, p=.02 exponentiated slope estimate=.76, 95% CI=[.67.96]
b=.07, p=.75 exponentiated slope estimate=1.07, 95% CI=[.87, 1.1]
b=-.17, p=.03 exponentiated slope estimate=.84, 95% CI=[.81.99]