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Table 4 Summary of multiple linear regressions

From: How selves differ within and across cognitive domains: self-prioritisation, self-concept, and psychiatric traits

Trait

NHST

Bayesian

Adjusted R-squared

F-statistic (4,283)

p value

Significant Predictors

t-value

p value

BF10 winning model

P(M|data)

AQ

0.17

14.9

< 0.001

Intercept

5.23

< 0.001

> 100

0.52

    

SCCS

− 2.66

0.0084

  

BAI

0.29

28.7

< 0.001

Intercept

2.19

0.029

> 100

0.42

    

SCCS

− 3.15

0.0018

  
    

SCIM

2.36

0.019

  

BDI

0.36

40.4

< 0.001

SCIM

4.79

< 0.001

> 100

0.51

SPQ

0.39

44.9

< 0.001

Intercept

3.44

< 0.001

> 100

0.69

    

SCCS

− 4.00

< 0.001

  
    

SCIM

2.94

0.0035

  

BPQ

0.47

62.4

< 0.001

SCCS*

− 2.19

0.030

> 100

0.45

    

SCIM

5.94

< 0.001

  
  1. Significant predictors in NHST regressions matched winning Bayesian model in all cases except for variable marked with * indicating that it was not present in Bayesian winning model. P(M|data) reports the posterior probability of the winning model given the data
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BMC Psychology

ISSN: 2050-7283

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