Page 104 - Demo

102Chapter 5Table 3. Overview of estimation predicting model as a function of sex andown interest.Predictors Estimation (median estimates with 95% HDIs)Model 1Intercept [under-accurate] -1.63 [-2.10 to -1.18]Intercept [over-accurate] 1.39 [.79–1.38]Sex [under-accurate] .44 [.02 – .87]Sex [over-accurate] .27 [-.14 to .65]Own interest [under-accurate] .57 [.26–.90]Own interest [over-accurate] 1.03 [.75–1.31]Sex ⇥ own interest [under-accurate] -�.09 [−�.40 to .25]Sex ⇥ own interest [over-accurate] .28 [.01 − .58]Random EffectsVar(Participant) 1.06Var(Partner) .59Reliable effects (95% HDIs not containing 0) are presented in boldFigure 2. Interaction graph between sex and own interest showing theprobability of each response category (i.e., underperception, accurate response, and overperception) for each factor level combination. The graphillustrates that men were more likely to overperceive attraction when theywere interested in their partner compared to women and that men were morelikely to accurately detect attraction than overperceive when they were notinterested in their partner compared to women. Error bars reflect 95% CrI,and the red line denotes chance level (.5)Table 3. Overview of estimation predicting model as a function of sex andown interest.Predictors Estimation (median estimates with 95% HDIs)Model 1Intercept [under-accurate] -1.63 [-2.10 to -1.18]Intercept [over-accurate] 1.39 [.79–1.38]Sex [under-accurate] .44 [.02 – .87]Sex [over-accurate] .27 [-.14 to .65]Own interest [under-accurate] .57 [.26–.90]Own interest [over-accurate] 1.03 [.75–1.31]Sex ⇥ own interest [under-accurate] -�.09 [−�.40 to .25]Sex ⇥ own interest [over-accurate] .28 [.01 − .58]Random EffectsVar(Participant) 1.06Var(Partner) .59Reliable effects (95% HDIs not containing 0) are presented in boldFigure 2. Interaction graph between sex and own interest showing theprobability of each response category (i.e., underperception, accurate response, and overperception) for each factor level combination. The graphillustrates that men were more likely to overperceive attraction when theywere interested in their partner compared to women and that men were morelikely to accurately detect attraction than overperceive when they were notinterested in their partner compared to women. Error bars reflect 95% CrI,and the red line denotes chance level (.5)Table 3. Overview of estimation predicting model as a function of sex andown interest.Predictors Estimation (median estimates with 95% HDIs)Model 1Intercept [under-accurate] -1.63 [-2.10 to -1.18]Intercept [over-accurate] 1.39 [.79–1.38]Sex [under-accurate] .44 [.02 – .87]Sex [over-accurate] .27 [-.14 to .65]Own interest [under-accurate] .57 [.26–.90]Own interest [over-accurate] 1.03 [.75–1.31]Sex ⇥ own interest [under-accurate] -�.09 [−�.40 to .25]Sex ⇥ own interest [over-accurate] .28 [.01 − .58]Random EffectsVar(Participant) 1.06Var(Partner) .59Reliable effects (95% HDIs not containing 0) are presented in boldFigure 2. Interaction graph between sex and own interest showing theprobability of each response category (i.e., underperception, accurate response, and overperception) for each factor level combination. The graphillustrates that men were more likely to overperceive attraction when theywere interested in their partner compared to women and that men were morelikely to accurately detect attraction than overperceive when they were notinterested in their partner compared to women. Error bars reflect 95% CrI,and the red line denotes chance level (.5)Iliana Samara 17x24.indd 102 08-04-2024 16:36