Reading Working Papers in Linguistics 4 (2000) - The University of ...
Reading Working Papers in Linguistics 4 (2000) - The University of ...
Reading Working Papers in Linguistics 4 (2000) - The University of ...
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J. MARSHALL<br />
<strong>The</strong>re is no significant <strong>in</strong>teraction between AGE and SEX. Next we add<br />
LIFMOD:<br />
SSSCOR = - 0.0034 + 0.00352 AGE - 0.221 SEX + 0.00367 AGE x SEX + 0.0214<br />
LIFMOD<br />
Predictor Coef StDev T P<br />
Constant -0.00336 0.08096 -0.04 0.967<br />
AGE 0.003516 0.001710 2.06 0.044<br />
SEX -0.22051 0.08494 -2.60 0.012<br />
AGE x SE 0.003668 0.002177 1.69 0.097<br />
LIFMOD 0.021404 0.003331 6.43 0.000<br />
S = 0.1886 R-Sq = 70.3% R-Sq(adj) = 68.3%<br />
<strong>The</strong> p-value for LIFMOD is very highly significant. <strong>The</strong> r-squared value has<br />
jumped by over 20%, show<strong>in</strong>g that the addition <strong>of</strong> LIFMOD has greatly<br />
improved the model. <strong>The</strong> speaker’s degree <strong>of</strong> mental urbanisation is aga<strong>in</strong> a<br />
reliable predictor <strong>of</strong> language ma<strong>in</strong>tenance.<br />
7.5. LIFMOD as a Predictor <strong>of</strong> LEXREC<br />
LEXREC is an <strong>in</strong>dex score achieved by test<strong>in</strong>g the speaker’s knowledge <strong>of</strong><br />
fifty lexical items. As mentioned, this score is regarded with caution, as<br />
passive recognition <strong>of</strong> a word does not imply active daily use. <strong>The</strong> results <strong>of</strong><br />
the analysis, however, show that LEXREC is highly correlated with the other<br />
two l<strong>in</strong>guistic scores, and therefore may be an accurate measurement <strong>of</strong> dialect<br />
use.<br />
LEXREC = 26.7 + 0.353 AGE<br />
Predictor Coef StDev T P<br />
Constant 26.694 1.487 17.95 0.000<br />
AGE 0.35316 0.03820 9.25 0.000<br />
S = 6.621 R-Sq = 58.4% R-Sq(adj) = 57.7%<br />
<strong>The</strong> p-value for AGE is highly significant and the r-squared value is quite<br />
high. AGE aga<strong>in</strong> proves to be a reliable predictor <strong>of</strong> dialect use. Next we add<br />
the variable SEX.<br />
LEXREC = 26.7 + 0.353 AGE - 0.11 SEX<br />
Predictor Coef StDev T P<br />
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