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debate between psychologists and the legal community that continued intermittently for the rest of the century He asserted that the lawyer alone is obdurate in failing to recognize the importance of applied psychology M nsterberg s assertions were so arrogant that they provoked a scathing response from legal scholar John Wigmore (1909), who created transcripts of a mythical libel trial in which Professor M nsterberg was sued for libel by the legal eld for his assertions and was found guilty of claiming more than he could offer The plaintiffs lawyer, Mr Tyro, criticized the lack of relevant research publications available (none had yet been published in English when M nsterberg s book was published), and noted that eminent European psychologists such as Sigmund Freud and Wilhelm Stern had cautioned against overzealous application of psychological ndings.

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Although there are techniques, such as the use of probabilities, that can be used to deal with risk, they are quite theoretical and might be difficult to use in practice. Thus, we will not discuss them in this text. However, this does not imply that the business manager should ignore risk, since it does exist. The interested reader wishing to gain more insight into techniques available to encompass risks, or uncertainty, is referred to any of the excellent textbooks available on general managerial finance.

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After posting the journal entry, the balance sheet equation and a balance sheet become: Assets Liabilities Ownership Equity $100,000

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Law 4. The logarithm of the pth root of a number is equal to the logarithm of the number divided by n. That is: log(x)1/ p

Suppose we want to see which of two predictors, X 1 and X 2 , correlates more highly with a dependent variable, Y. When two taus are computed with the same sample data, they are dependent. In this case, the var(t1y t2y ) = var(t1y ) + var(t2y ) 2cov (t1y , t2y ), which is parallel to comparing two means from the same sample. We have already shown how to compute the estimates of the variances of the individual taus. The estimate of the covariance between two nonindependent taus, t1y and t2y , is similar in logic to the variance. In this case there are two sets of tihjk namely, tih1y and tih2y , which are arranged in the symmetric matrices, T1y and T2y . Using the formulas of Cliff and Charlin (1991), the estimate of the covariance between t1y and t2y is Est[cov(t1y , t2y )] = 4(n 2)st i.1y ,t i.2y + 2st ih1y ,t ih2y . n(n 1) (25.35)

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In 1906, Stern had written, It is not yet time to speak of the practical use of this method; neither too great optimism nor too great skepticism is tting Thus far it has not yet passed beyond the laboratory stage An extensive series of purely methodological work will be required before it can be thought of for application to the larger eld of practice It is still premature to discuss its forensic use (quoted in Wigmore, 1909, p 414) Mr Tyro accused Professor M nsterberg of committing the whimsical mistake of bearing testimony against our innocent profession for neglecting to use new and exact methods which were and are so little exact and so incapable of forensic use that even their well-wishers confess that thousands of experiments and years of research will be required before they will be practicable, if ever (Wigmore, 1909, p 415).

higher ( 53) Coupled with a mean convergent correlation of 64, this yielded an estimated factor intercorrelation of 84 (see Green et al, 1993, Tables 1 and 2) Our remarks should not be interpreted as suggesting that measurement error is unimportant Error obviously is an important fact of life that exerts a signi cant in uence on mood ratings Our point, rather, is that sweeping dismissals of raw, uncorrected correlations are not supported by the data Instead, our review of the evidence indicates that uncorrected correlational data still can play a very useful role in mood research, as long as one uses reliable mood measures and adequate response formats Modeling Measurement Error As we have seen, measurement error can be expected to have a signi cant effect on mood ratings, and it obviously is important to be able to estimate its impact on one s data.

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