Assumption Measurement Applications for the Individual Decision Maker
Assumption Measurement Applications for the Individual Decision Maker
Jarrod W Jarrod Whitfield Wilcox
The book Assumption Measurement Applications for the Individual Decision Maker was written by author Jarrod W Jarrod Whitfield Wilcox Here you can read free online of Assumption Measurement Applications for the Individual Decision Maker book, rate and share your impressions in comments. If you don't know what to write, just answer the question: Why is Assumption Measurement Applications for the Individual Decision Maker a good or bad book?
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Putting aside this interesting detour, let us return to the general application. In our illustration, the next question is whether the decision- makers actually use this information in making their ratings. If we look at the suitability ratings, Y, we find corr. (Yp^, Y^^) = 0. 408, R^ = 0. 1665 corr. (Y22. Y22) = 0. 040, R^ = . 0016 corr. (Y^g, Y^g) =0. 441 R^ = . 1945 Table 5 Significant at 0. 10 level R^ = . 0016 Not significant R^ = . 1945 Significant at 0. 10 level. Thus, it appears possib...le that Decision-makers 07 and 38 are using a greater degree of valid information than that measured through the factor attributes F, obtained in the larger study. It is, however, quite likely that Decision- maker 22 is mis-using (using a lesser degree of) this information potentially available to him. In the larger study, the following was obtained as a measure of his assumptions: ^22 = 2873 + (-1. 94)F22_i + (-2. 93)F22_3 + (-1. 54)F22_6 In fact, he placed reliance not only on F„„ _, which our evidence indicates was helpful, but also on F„„ .
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