Skip to main content

Table 2 Parameter estimates for level 1 of the two-level model

From: What’s in a face? The role of facial features in ratings of dominance, threat, and stereotypicality

Relation/variable

Estimate

pSD

p

Lower

Upper

Std

FACE STIMULI regressions

Dominance

 No reflectance

0.13

0.04

< .01

0.05

0.21

0.04

 High reflectance

0.11

0.04

0.01

0.01

0.18

0.04

 Thin nose

− 0.15

0.09

0.05

− 0.32

0.03

− 0.05

 Wide nose

0.49

0.08

< .01

0.33

0.64

0.17

 Thin lips

0.13

0.09

0.06

− 0.05

0.29

0.05

 Full lips

0.01

0.08

0.45

− 0.15

0.17

0.01

 Thin nose × thin lips

− 0.13

0.13

0.16

− 0.37

0.13

− 0.03

 Thin nose × full lips

0.02

0.12

0.45

− 0.21

0.27

0.01

 Thin nose × no reflectance

− 0.20

0.11

0.02

− 0.43

0.00

− 0.03

 Thin nose × high reflectance

− 0.17

0.11

0.06

− 0.38

0.04

− 0.02

 Wide nose × thin lips

− 0.16

0.13

0.11

− 0.41

0.09

− 0.04

 Wide nose × full lips

− 0.03

0.13

0.44

− 0.24

0.27

− 0.01

 Wide nose × no reflectance

0.00

0.11

0.49

− 0.27

0.21

0.00

 Wide nose × high reflectance

− 0.13

0.11

0.18

− 0.33

0.10

− 0.02

 Thin lips × no reflectance

0.02

0.11

0.44

− 0.17

0.23

0.00

 Thin lips × high reflectance

− 0.03

0.10

0.38

− 0.23

0.19

0.00

 Full lips × no reflectance

− 0.14

0.10

0.07

− 0.31

0.06

− 0.02

 Full lips × high reflectance

− 0.03

0.11

0.36

− 0.24

0.17

− 0.01

Black stereotypicality

 No reflectance

− 0.58

0.06

< .01

− 0.69

− 0.47

− 0.15

 High reflectance

0.89

0.05

< .01

0.78

1.00

0.23

 Thin nose

− 0.47

0.12

< .01

− 0.72

− 0.28

− 0.12

 Wide nose

1.17

0.11

< .01

0.95

1.36

0.31

 Thin lips

− 0.39

0.11

< .01

− 0.59

− 0.16

− 0.10

 Full lips

0.59

0.10

< .01

0.38

0.78

0.16

 Thin nose × thin lips

0.04

0.16

0.38

− 0.24

0.36

0.01

 Thin nose × full lips

− 0.38

0.16

0.01

− 0.66

− 0.03

− 0.07

 Thin nose × no reflectance

− 0.15

0.14

0.18

− 0.40

0.12

− 0.02

 Thin nose × high reflectance

− 0.06

0.14

0.31

− 0.34

0.22

− 0.01

 Wide nose × thin lips

− 0.23

0.15

0.08

− 0.56

0.06

− 0.04

 Wide nose × full lips

− 0.35

0.15

0.02

− 0.62

− 0.01

− 0.06

 Wide nose × no reflectance

− 0.17

0.12

0.09

− 0.39

0.07

− 0.02

 Wide nose × high reflectance

− 0.39

0.12

< .01

− 0.61

− 0.12

− 0.04

 Thin lips × no reflectance

− 0.03

0.13

0.35

− 0.34

0.19

0.00

 Thin lips × high reflectance

− 0.04

0.13

0.40

− 0.33

0.20

0.00

 Full lips × no reflectance

− 0.21

0.13

0.05

− 0.47

0.05

− 0.02

 Full lips × high reflectance

− 0.03

0.14

0.41

− 0.30

0.22

0.00

Threat

 No reflectance

0.30

0.04

< .01

0.23

.11

0.11

 High reflectance

− 0.08

0.04

0.02

− 0.15

− .03

− 0.03

 Thin nose

0.04

0.08

0.34

− 0.12

.01

0.01

 Wide nose

0.22

0.07

< .01

0.08

.08

0.08

 Thin lips

0.34

0.08

< .01

0.20

.13

0.13

 Full lips

− 0.16

0.08

0.02

− 0.31

− .06

− 0.06

 Thin nose × thin lips

− 0.10

0.13

0.23

− 0.33

− .02

− 0.02

 Thin nose × full lips

0.05

0.12

0.34

− 0.17

.01

0.01

 Thin nose × no reflectance

0.03

0.11

0.40

− 0.18

.00

0.00

 Thin nose × high reflectance

− 0.09

0.11

0.22

− 0.33

− .01

− 0.01

 Wide nose × thin lips

− 0.04

0.11

0.35

− 0.26

− .01

− 0.01

 Wide nose × full lips

0.15

0.11

0.08

− 0.07

.04

0.04

 Wide nose × no reflectance

0.19

0.10

0.02

0.01

.03

0.03

 Wide nose × high reflectance

0.02

0.10

0.41

− 0.19

.00

0.00

 Thin lips × no reflectance

0.04

0.11

0.39

− 0.20

.00

0.01

 Thin lips × high reflectance

− 0.05

0.11

0.34

− 0.26

− .01

− 0.01

 Full lips × no reflectance

0.12

0.11

0.12

− 0.09

.02

0.02

 Full lips × high reflectance

0.08

0.09

0.20

− 0.09

.01

0.01

FACE STIMULI residual variance

Dominance

1.72

0.03

< .01

1.66

1.77

0.96

Black stereotypicality

2.37

0.04

< .01

2.30

2.44

0.73

Threat

1.59

0.02

< .01

1.54

1.64

0.95

FACE STIMULI covariance

Dominance with

 Black stereotypicality

0.25

0.02

< .01

0.22

0.30

0.13

 Threat

0.38

0.02

< .01

0.34

0.42

0.23

Black stereotypicality with

 Threat

0.00

0.02

0.50

− 0.04

0.04

0.00

  1. pSD = posterior standard deviation. p = p value. Lower, upper = bounds of 95% credible interval. Std = fully standardized value. Model fit DIC = 95,821 (90 free parameters). For reference, the cross-classified DIC = 95,810 (96 free parameters)