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pressure levels are correlated among family members and more importantly they are correlated higher in blood related relatives versus adopted family members (Ward, 1990). Although research shows us the importance of genetics, the proportion of high blood pressure caused by genetics alone is dif cult to determine because some risk factors, for example, obesity and alcohol, are both environmentally and genetically in uenced. Population studies also reveal a higher incidence in various cultures and socioeconomic groups that cannot be explained by genetics alone (Henry & Cassel, 1969). For example, African Americans have the highest proportion of hypertension than any other group in the United States, but hypertension prevalence among poor African Americans is higher than among those in the middle class (Harburg et al., 1973).

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STATISTICAL ANALYSIS OF DATA Many traditional and newly emerging statistical analyses exist for the analysis of outcome data The reader is referred to chapters in this volume that provide a comprehensive overview of those data-analytic techniques In this section we merely summarize a few traditional approaches commonly used in past therapy research Before presenting outcome results, tests for condition equivalence on pretherapy demographic and dependent variables need to be reported in order to ensure the absence of potentially confounding differences between conditions prior to the beginning of treatment An important consideration when conducting these analyses, however, is that there is often insuf cient power to detect moderate effect size differences when comparing groups only on baseline measures This is due to the reduced group ns that are required as a result of repeated measures designs, such as those employed in therapy outcome research.

Thus, investigators are advised to practice caution when concluding that groups did not differ on pretreatment variables, because in fact moderate differences may actually exist After one has ensured that groups did not differ on pretherapy variables, primary outcome analyses on base-free measures of change should be conducted and reported When these analyses are performed, it is advisable to reduce as much error variance as possible by removing the variation shown by clients on pre-therapy scores from later assessment scores The most common choice is analysis of covariance (ANCOVA) This analysis is advisable when initial tests indicate that there were no differences in pretherapy scores, and it is necessary when the tests indicate that differences did exist Random assignment typically prevents the emergence of pretherapy differences, but it is unfortunate when such differences do emerge In these cases, using covarianceadjusted postscores statistically removes the pretherapy score in uence.

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It should be noted, however, that this does not ensure that the clients in the different experimental conditions were not psychologically different, even though their scores were made to be mathematically equivalent If clients differ across conditions on any one characteristic, they may also be different in other psychological processes and may therefore respond to treatment differentially Thus, when pretherapy.

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McLemore, C W, & Benjamin, L S (1979) Whatever happened to interpersonal diagnosis American Psychologist, 34, 17 34 McWilliams, N (1994) Psychoanalytic diagnosis New York: Guilford Press Millon, T (1987) On the nature of taxonomy in psychopathology In C Last & M Hersen (Eds), Issues in diagnostic research (pp 3 85) New York: Plenum Press Millon, T (1990) Toward a new personology: An evolutionary model New York: Wiley Millon, T (1991) Classification in psychopathology: Rationale, alternatives, and standards Journal of Abnormal Psychology, 100, 245 261 Millon, T (1996) Disorders of personality: DSM-IV and beyond (2nd ed) New York: Wiley Millon, T (2000) Reflections on the future of DSM Axis II Journal of Personality Disorders, 14, 30 41 Millon, T, & Davis, R D (1996) An evolutionary theory of personality disorders In J F Clarkin & M F Lenzenweger (Eds), Major theories of personality disorder (pp.

221 346) New York: Guilford Press Millon, T, Meagher, S E, & Grossman, S D (2001) Theoretical perspectives In W J Livesley (Ed), Handbook of personality disorders (pp 39 59) New York: Guilford Press Mitchell, S A (1988) The intrapsychic and the interpersonal: Different theories, different domains, or historical artifacts Psychoanalytic Inquiry, 8, 472 496 Moskowitz, D S (1994) Cross-situational generality and the interpersonal circumplex Journal of Personality and Social Psychology, 66, 921 933 Moskowitz, D S, & Zuroff, D C (2004) Flux, pulse, and spin: Dynamic additions to the personality lexicon Journal of Personality and Social Psychology, 86, 880 893 Paris, J (2000) The classification of personality disorders should be rooted in biology Journal of Personality Disorders, 14, 127 136 Parker, G, Both, L, Olley, A, Hadzi-Pavlovic, D, Irvine, P, & Jacobs, G (2002) Defining personality disordered functioning.