Reading Working Papers in Linguistics 4 (2000) - The University of ...

J. MARSHALL
7.6. SOCNET as a Predictor of PHOVAR
The penultimate output from the PHOVAR model above was:
PHOVAR = 24.6 + 0.460 AGE - 13.2 SEX + 0.225 AGE x SEX
Predictor Coef StDev T P
Constant 24.639 3.520 7.00 0.000
AGE 0.45984 0.09151 5.03 0.000
SEX -13.231 5.029 -2.63 0.011
AGE x SE 0.2255 0.1292 1.75 0.086
S = 11.19 R-Sq = 59.1% R-Sq(adj) = 57.0%
Now we add SOCNET, in order to test its value as a predictor of dialect
maintenance:
PHOVAR = 29.5 + 0.469 AGE - 13.1 SEX + 0.227 AGE x SEX - 0.829 SOCNET
Predictor Coef StDev T P
Constant 29.504 6.717 4.39 0.000
AGE 0.46920 0.09238 5.08 0.000
SEX -13.106 5.043 -2.60 0.012
AGE x SE 0.2274 0.1295 1.76 0.084
SOCNET -0.8288 0.9738 -0.85 0.398
S = 11.22 R-Sq = 59.6% R-Sq(adj) = 56.8%
SOCNET is not a significant predictor of PHOVAR, even at the 0.05 level.
The r-squared value of the model has been lowered by the addition of
SOCNET. Next we consider SOCNET as a predictor of SSSCOR, the
linguistic index score achieved during the non-linguistic tasks. Again, the
model will be re-used from above, with SOCNET added at the end:
7.7. SOCNET as a Predictor of SSSCOR
SSSCOR = 0.351 + 0.00826 AGE - 0.257 SEX + 0.00370 AGE x SEX
Predictor Coef StDev T P
Constant 0.35075 0.07695 4.56 0.000
AGE 0.008263 0.002000 4.13 0.000
SEX -0.2567 0.1099 -2.34 0.023
AGE x SEX 0.003697 0.002824 1.31 0.196
S = 0.2446 R-Sq = 49.2% R-Sq(adj) = 46.6%
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