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

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SOCIOLINGUISTIC VARIATION AND CHANGE IN URBAN INDIA<br />

i.e.<br />

(6452.4975 – 5168.4986) / (113 – 110)<br />

3082.8759 / 87<br />

(* D = Deviance, d.f. = degrees <strong>of</strong> freedom)<br />

<strong>The</strong> F-ratio for the [caste] model was thus found to be 12.09. A significant<br />

value <strong>of</strong> the F-statistic <strong>in</strong>dicated that the model (constant) and model (caste)<br />

could be dist<strong>in</strong>guished. <strong>The</strong> significant F-statistic (i.e. the low p-value)<br />

strengthens my claim that, even with the small sample size, any difference<br />

we observe is most unlikely to be the result <strong>of</strong> chance; the observed<br />

difference is the result <strong>of</strong> treatment effect and the figures are reliable.<br />

From the above table we see that addition <strong>of</strong> the factor ‘caste’ to the<br />

model yielded a significant value <strong>of</strong> the F-statistic (p < 0.001). Similarly,<br />

additions <strong>of</strong> ‘sex’ and ‘mother’s education’ to the model yielded significant<br />

F-ratios (p = 0.009 and 0.003 respectively). Subsequent additions <strong>of</strong> ‘father’s<br />

education’ and ‘father’s occupation’ to the model (<strong>in</strong>dicated <strong>in</strong> the table<br />

above by [+ef] and [+<strong>of</strong>] <strong>in</strong> the table) did not reduce the deviance greatly<br />

and the F-ratios were not found to be significant. Three social factors were<br />

thus identified which co-vary significantly with a high frequency <strong>of</strong><br />

occurrence <strong>of</strong> the standard variant <strong>of</strong> (N). Further, ‘caste’ emerged as the<br />

most significant explanatory variable, suggest<strong>in</strong>g that the phonological<br />

variable (N) is a caste marker.<br />

Hav<strong>in</strong>g isolated ‘caste’ as the most significant social factor, I<br />

proceeded to explore <strong>in</strong>ter-caste differences. Table 2 below presents an<br />

analysis <strong>of</strong> parameter estimates for the factor ‘caste’.<br />

Table 2. Analysis <strong>of</strong> parameter estimates for ‘caste’<br />

Parameter Estimate<br />

Scheduled -1.65<br />

Backward -0.92<br />

Maratha -2.06<br />

Brahm<strong>in</strong> 0.00<br />

Hold<strong>in</strong>g the estimate for the ‘Brahm<strong>in</strong>’ group constant and allow<strong>in</strong>g for the<br />

variation caused by the four ma<strong>in</strong> effects other than caste, I found that, the<br />

estimates for the three non-Brahm<strong>in</strong> caste groups <strong>in</strong> the sample were<br />

105

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