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. Author manuscript; available in PMC: 2014 Jun 1.
Published in final edited form as: Hear Res. 2013 Mar 27;300:18–32. doi: 10.1016/j.heares.2013.03.006

Figure 4.

Figure 4

In our structural equation model of Speech in Noise, Cognition and Central processing predict the greatest proportion of variance in the model, with Cognition and Life experiences having additional indirect effects on Speech-in-Noise performance through modulation of Central Processing. The larger R2 values indicate stronger contributions from observed to latent variables and from latent variables to Central Processing or to Speech in Noise. The model accounted for 56.7% of the variance in Speech-in-Noise performance. Refer to Figure 3 for definitions of symbols and lines.