Table 3 Summary of regression results for speeded naming and lexical decision

(i) Speeded naming

 Predictors

  Number of letters

b = 0.00930

t = 2.48

b = 0.00893

t = 7.86

SE = 0.00375

p = .013*

SE = 0.00114

p < .001***

  Number of phonemes

b = 0.00601

t = 1.67

b = 0.00746

t = 6.83

SE = 0.00361

p = .095⁺

SE = 0.00109

p < .001***

  Number of syllables

b = 0.0550

t = 10.24

b = − 0.0251

t = − 15.41

SE = 0.00537

p < .001***

SE = 0.00163

p < .001***

  Log frequency

b = − 0.0487

t = − 44.83

b = 0.0133

t = 40.49

SE = 0.00109

p < .001***

SE = 0.000329

p < .001***

  Degree

b = −0.00762

t = − 11.89

b = 0.00154

t = 7.91

SE = 0.000641

p < .001***

SE = 0.000194

p < .001***

  Clustering coefficient

b = − 0.00668

t = − 0.758

b = 0.00427

t = 1.60

SE = 0.00882

p = .45

SE = 0.00267

p = .11

  Closeness centrality

b = 0.704

t = 2.65

b = − 0.386

t = − 4.80

SE = 0.266

p = .008**

SE = 0.0805

p < .001***

  Number of letters

b = −0.0491

t = − 12.72

b = 0.0494

t = 21.06

SE = 0.00386

p < .001***

SE = 0.00235

p < .001***

  Number of phonemes

b = − 0.0169

t = − 4.56

b = 0.0176

t = 7.79

SE = 0.00372

p < .001***

SE = 0.00226

p < .001

  Number of syllables

b = 0.103

t = 18.55

b = − 0.0488

t = − 14.51

SE = 0.00553

p < .001***

SE = 0.00336

p < .001***

  Log frequency

b = − 0.0948

t = − 84.76

b = 0.0484

t = 71.22

SE = 0.00112

p < .001***

SE = 0.000680

p < .001***

  Degree

b = −0.00518

t = − 7.85

b = 0.00272

t = 6.78

SE = 0.000661

p < .001***

SE = 0.000401

p < .001***

  Clustering coefficient

b = 0.0185

t = 2.04

b = − 0.0104

t = − 1.88

SE = 0.00909

p = .042*

SE = 0.00552

p = .059⁺

  Closeness centrality

b = − 1.40

t = − 5.11

b = 0.288

t = 1.73

SE = 0.274

p < .001***

SE = 0.166

p = .083⁺