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Polycarbophosphazenes, 29 31, 74 Polycarboranes, 31 step condensation syntheses, 53 exercise, 92 siloxane copolymer elastomers, 186 structure, 5 Polycarbosilanes exercise, 92 NMR results, 134 pyrolysis to silicon carbide, 54 reductive coupling syntheses, 79 80 ROP syntheses, 76 77 step condensation syntheses, 53 54 XPS, 166 Polycarbosiloxane telechelic, 87 exercise, 92 Polycyclams, metallated electrochemical synthesis, 65 Poly(dichlorophosphazene), 27 Poly(dimethylsilaferrocene), 23 structure, 6 synthesis, 70 72 Polyelectrolytes viscosity measurements, 110 112 Polyferrocenes as bio-sensors, 198 doped conductivity, 216 unsubstituted condensation synthesis, 46 electrochemical synthesis, 65 ROP synthesis, 70 73 reductive coupling synthesis, 79 80 Polygermanes dehydrogenation synthesis, 87 reductive coupling syntheses, 78 exercise, 92 Polyheterophosphazenes, 29 31, 74 Polyoxothiazenes, 30, 56 57 Polyphosphates connectivity, 5 structure, 5 Polyphosphazenes, 25, 27 30 anionic initiation, 69 aqueous acid soluble, 28 aqueous base soluble, 28 applications, general, 28 bio-sensors, 198 block copolymers, 86 87 blood compatible polymers, 198 bonding, 29 cationic initiation, 67 68 elastomers, 179, 183 186 aryloxy (PZ), 185 186

7.56 7.31 7.08 6.85 6.63

The effect was significant, and similar in size, for both men and women The effect was largest amongst the age group with the lowest response rate, namely 16 24-year-olds, for whom the response rate increased from 695 % with 7 to 776 % with 10 The result of this was that with the 10 incentive the response rate amongst this group was not much lower than that amongst other age groups It may be that this group is less likely to be motivated to participate for altruistic reasons However, the only other age group for which the 10 incentive increased the response rate significantly was the group with the highest response rate, namely 55 64-year-olds The overall effect of the higher incentive on disproportionate response propensities by age is therefore unclear.

For marital status, the most marked increases in response rate with the higher incentive were for the separated and the never married, two groups who can be difficult to contact and interview though the difference only reaches statistical significance for the latter due to the small sample size of the former The response rate for the never married was 708 % with the 7 incentive and 793 % with the 10 incentive (P 5 0001) The effect of the incentive also varied by employment status, appearing most marked for the unemployed, another group who typically have lower response rates than others The observed response rates amongst unemployed sample members were 707 % in the 7 group and 803 % in the 10 group, though this difference was not significant due to the modest sample sizes.

and k0 2rS rA Ar2 S 0 Equation (8.4-4) is rewritten as jrSj2 n2 l2 r 2 A 0 2p2 A 8:4-5

4

Sample members whose main activity was looking after the home or family also demonstrated a particularly large effect on response of the higher incentive, from 809 % to 877 % Differences in the effect of the incentive by level of education were limited, but the only significant effect was observed amongst the group with the lowest response rates, those with a lower level other qualification Amongst this group, response rate increased from 836 % with 7 to 913 % with 10 Table 123 presents predicted coefficients from three logistic regression models where the dependent variable is an indicator of individual wave 14 response (including proxy and telephone interviews) Model 1 includes only the main effects of age and gender plus incentive treatment The estimates indicate that the main effect of the higher value.

12.6 84.0%

Alan F. Greggo, CPE, CPP, provides loss prevention leadership and consulting services to retail and medical practitioners. He has more than 30 years of loss prevention and asset protection experience in the optical retail and mass merchandising elds.

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Active management can add value over an index by making investment decisions that differ from the index. The rst differentiation can be accomplished through asset allocation. An investment manager can choose to hold an overweight or underweight position in a given sector, thus making an active decision to differ from an index. This decision can turn out to be positive or negative relative to that index. For example, if an investment