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<br />from the standardized fonn of the Equation 5.17. It <br />is much larger than any other found in this form be- <br />cause of the obliteraling effect of an important single <br />summarizing variable as discussed under the section <br />on Equation 1Il. <br /> <br />All six terms in Equatinn 1Il were retained for <br />the regression run creating this equation so thai the <br />coefficients in Equation N could be compared with <br />the same terms in Equation 1Il under conditions where <br />every term is the same except for the new one added <br />(tenn 8 in Equation 5.16). Terms #2, # 3, and #6 <br />of this same equation could have been removed since <br />their removal only reduced the r2 from .823 to .819. <br />However, even though these three tenns have liltle <br />effect in this particular application, they might . <br />have significant impacts on another situation} and <br />therefore, should be retained for future analyses. With- <br />out terms # 2, # 3, and # 6, and unstandardized fonn <br />of the equation is: <br />(I) (4) (5) <br />y =. + .587 - .178XI + .OOllX3Xll + .I02X4X12 <br /> <br />(8) <br />+.442X7XI5 . (5.18) <br /> <br />The coefficients of Equation 5.18 have similar values <br />to those in Equation 5.6. Moreover, all of the coeffici- <br />ents in Equalion 5.18 are significant beyond the .05 <br />level. <br /> <br />Equation IV (5.16) was placed in the model to <br />account for feedback from an implementalion agency <br />to a decision agency. In order 10 do this, there needs <br />to be an evaluation of a proposal in question by the <br />other agency with the previous evaluation of the de- <br />cision agency in mind. There also then needs to be a <br />re-evaluation by the decision agency with the input <br />from the other agency included. The two applications <br />of Equation IV in the model accomplish this. <br /> <br />Other agency i?Ilaluation (IMEV) <br /> <br />Inpu t from other agencies can influence the <br />flood control decision. Equation N (5.16) is used <br />in the model to represent this influence. The result- <br />ing recommendations is passed along to the decision <br />agency for a reconsideration of its initial evaluation <br />(Figure 5.1). If the plan isrejected at this point of <br />re-evaluation, this information together with the basis <br />of the rejection is transmilted back to the planning <br />agency.18 Equation N (5.16) is "calibrated" for a <br /> <br />18Thisrepresentation could be incorrect under certain <br />circumstances. The output of the other agency goes to the deci~ <br />sion agency for consideration in it s revised evaluation of the <br />flood control plan. As the model is now constructed, this oc- <br />curs only when the output of the agency evaluation is positive. <br />However, it is conceivable that an objection could be ignored. <br />In this case, the response from the agency would still have an <br />effect which would be accounted for by the Type IV term in <br />Equation IV. <br /> <br />particular agency by the application of appropriale <br />specific values which have been delermined for rele- <br />vant variables within Equation IV (5.16). For exam- <br />ple, for a plaIIDing agency, the mean values for "Plan- <br />ning Agency" (Table 5.4) are substituted into Equa- <br />tion 5.16 to yieldl9. <br /> <br />y = + .491- .206Xl - .0102X9 + 3.24/XIO <br /> <br /> <br />+ .00469Xl1 + .0675X12 - .01l8X13 + .769X15 <br /> <br />. (5.19) <br /> <br />Revised decision agency evaluation <br />(DARE) <br /> <br />liThe revised decision agency evaluation" is the <br />second of three evaluations by this agency as a pro- <br />posal moves through the system (Figure 5.1). Iflhe <br />decision resulting from this second evaluation is posi- <br />tive, the plan is announced to the general public. In <br />the model, the revised decision agency evaluation also <br />is given by an application of Equation IV, and the pre- <br />vious decision agency evaluations are input to term <br />#8 (Equation 5.16)in this application. The previous <br />decision agency evaluations have a significant effect <br />on the revised agency evaluation through interaction <br />with the other agency evaluation. This would be <br />characteristic of real life since a person or agency us- <br />ually tends toward consistency of viewpoint, especial- <br />ly in an area about which the group or person is famil- <br />lar and has taken a public stand. Inserting the decision <br />agency values from Table 5.4 in the unstandardized <br />form of Equation IV (5.16) gives the following equa- <br />tion which is an approximation of that which would <br />have been obtained had this equation been directly <br />calibrated to the decision agency. <br /> <br />y = +.491 - .206Xr .0190~ + 6.01/XIO <br /> <br /> <br />+ ,00359Xl1 + .216X12 - .0307X13 + .884X15 <br /> <br />. . (5.20) <br /> <br />Equation VI: Final agency <br />i?Ilaluation (DAFE) <br /> <br />The regression on the data for this evaluation <br />was based on the same data as before but with terms <br />#7 and #9 added. The results are: <br /> <br />Unstandardized form: <br /> <br />(1) (2) (3) <br />y -.0466 - .210XI + .00522X2X9 + .419X2(l/XIO) <br />(4) (5) (6) <br />+ .00213X3Xl1 + .0988X4X12 - .0699X5X13 <br /> <br />19S ct- - <br />ee IscuSSlon under Agency Evaluation Equations. <br /> <br />70 <br />