Table 4 OLS regression models predicting perceived accuracy (N = 300).

From: Cognitive traits modulate the effects of images and familiarity on judgments of news accuracy

Predictor

Model 1

Model 2

Model 3

Familiarity

0.412***

0.415***

0.572***

Cognitive reflection (CRT)

0.037***

0.082***

0.069***

Numeracy

–0.010

–0.001

0.012

Intellectual humility (IH)

–0.004

–0.021

–0.037

Treatment

–0.066***

–0.218

–0.169

Fake

–0.368***

–0.163

–0.154

Fake × Familiarity

0.024

0.019

0.019

Fake × Treatment

–0.052*

–0.056*

–0.054*

Treatment × CRT

-

–0.068***

–0.074***

Treatment × Numeracy

0.033**

0.036***

Treatment × IH

0.069**

0.058*

Fake × CRT

–0.021

–0.022

Fake × Numeracy

–0.047***

–0.046***

Fake × IH

–0.017

–0.017

Familiarity × CRT

–0.026*

Familiarity × Numeracy

0.023**

Familiarity × IH

–0.036

Constant

2.866***

2.798***

2.867***

R2

0.1676

0.1704

0.1710

  1. Three OLS models using perceived accuracy as the dependent variable and a set of predictors, including familiarity with the news, Cognitive Reflection Test (CRT), numeracy, intellectual humility (IH), an interaction term between status of the news and familiarity, two dummy variables indicating presence/absence of images (Treatment = 0 = image; Treatment = 1 = no image) and status of the news (real = 0, fake = 1), and a set of interaction terms between cognitive traits (CRT, NUM and IH) and treatment/status of the news/familiarity. OLS unstandardized coefficients are shown with *** p < 0.01, ** p < 0.05, *p < 0.1.