Table 2 Path coefficients between latent variables as well as observed variables for model 1 and 2.

From: Auditory-cognitive contributions to speech-in-noise perception determined with structural equation modelling of a large sample

Model

Variable

Regressor

β [95% CI]

Z

p

Model 1

SIN

Age

−0.486 [ −0.661 −0.311]

−5.450

< 0.001

PTA

−0.153 [−0.313 0.007]

−1.705

0.061

SFG

0.193 [−0.062 0.448]

1.486

0.137

AWM

0.292 [0.104 0.479]

3.048

0.002

MTX

−0.026 [−0.172 0.120]

−0.349

0.727

SFG

Age

−0.329 [−0.543 −0.116]

−3.029

0.002

PTA

−0.320 [−0.514 −0.126]

−3.234

0.001

AWM~

0.428 [0.191 0.666]

3.536

< 0.001

MTX

0.202 [0.059 0.344]

2.776

0.006

AWM

Age

−0.071 [−0.288 0.145]

−0.645

0.519

PTA

−0.147 [−0.341 0.047]

−1.484

0.138

MTX

0.507 [0.381 0.633]

7.876

< 0.001

MTX

Age

−0.376 [−0.478 −0.274]

−7.238

< 0.001

PTA

Age

0.743 [0.695 0.791]

30.266

< 0.001

Model 2

SIN

Age

−0.441 [−0.622 −0.261]

−4.796

< 0.001

PTA

−0.086 [−0.255 0.083]

−1.002

0.316

CAP

0.500 [0.267 0.733]

4.209

< 0.001

MTX

−0.022 [−0.177 0.133]

−0.279

0.780

CAP

Age

−0.258 [−0.461 −0.055]

−2.496

0.013

PTA

−0.342 [−0.529 −0.156]

−3.720

< 0.001

MTX

0.366 [0.234 0.498]

5.427

< 0.001

MTX

Age

−0.376 [−0.478 −0.274]

−7.238

< 0.001

PTA

Age

0.743 [0.695 0.791]

30.266

< 0.001

  1. ‘~’ after regressor name represents covariance.