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In Jerome Kagan's "Three Seductive Ideas" he points out that the best predictor of who would develop serious academic or behavioral problems in adolescence was social class: more than eighty per cent of the children who got in trouble came from the poorest segment of the sample.
Differences in the characteristics associated with satisfaction in each group include the perception of liveliness and diversity, contributing significantly only among the segment of the sample living in traditional neighborhoods, and the perception of economic homogeneity, contributing significantly only among the suburban segment.
Respondents received incentives in the form of '…points [that] can be pooled and later redeemed in the form of gift cards, skymiles, credit for online games, etc'.1 The value of the incentives are variable (depending in part on whether a particular respondent is in a difficult-to-reach segment of the sample quota) and were approximately equivalent to $1/respondent for completing this survey.
This segment of the sample contained 45% of the respondents.
Therefore, for this segment of the sample the analyses will be somewhat limited as far as rural dwellers are concerned, although, according to our power analyses, it should still be possible to perform univariate correlations.
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There were significant differences between income segments of the sample (p < 0.05), with a higher rate of air conditioning at homes of the upper income respondents (>4000 yuan/month, 13.5%).
Finally, there was no significant association of IQ and three of the four indices of lead exposure early childhood, peak (or maximal), and lifetime average for the segments of the sample with peak lead levels < 10 μg/dL or < 7.5 μg/dL.
Because the obtained relaxation times showed clearly only one main component, we were monitoring only the most mobile PNIPAM segments of the samples in the T1 and T2 measurements.
To determine whether the prevalence of B. microti is distributed homogeneously within the study site, prevalence of infection in ticks was estimated for selected segments of the sampling grid.
(a) The weight w i U is the selection weight relevant to the segment of the overall sample from which the respondent was selected.
In fact, one of the most important advantages of this representation is the possibility of segmenting regions of the sample that exhibit different fluorescence lifetime prior to any data fitting [21].
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