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de nition can pose some serious dif culties. In fact, at face value, the de nition is quite grandiose, encompassing all of clinical psychology, counseling psychology, rehabilitation psychology, occupational psychology, and much else as well. No single health care professional can reasonably be expected to possess and practice with genuine competence in all of the areas mentioned in Matarazzo s de nition and yet that is what the American, British, and most other psychological associations have agreed to. The of cial de nition of health psychology needs to be narrowed, or at least specialties within it, need to be de ned (e.g., clinical health psychologist, rehabilitation health psychologist, occupational health psychologist, health promotion psychologist). Otherwise there is a risk of becoming Jacks-and-Jills-of-all-trades, and master-of-none. McDermott (2001) recently argued that the Matarazzo de nition is overinclusive, encompassing any topic connected with health, including primary, secondary, and tertiary care in their entirety. McDermott states, The over-inclusivity is likely to prove detrimental to the long-term well-being of health psychology since such a broad de nition does not allow for the subject area to distinguish itself clearly from other subdisciplines, in particular from clinical psychology and behavioral medicine (p. 7). McDermott s solution to this problem is to replace the rst Matarazzo de nition with another, his de nition of behavioral health:

Figure 19.1 Scatter plot of raw data: intention as a function of worry. The straight line is the OLS regression line from the equation, Y = 3.10 + 0.21 WORRY. The curved line is the lowess t line. The lowess line suggests a curvilinear relationship between worry and intention.

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Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum. Federer, W. T. (1955). Experimental design: Theory and application. New York: Macmillan. Finney, D. J. (1945). The fractional replication of factorial arrangements. Annals of Eugenics, 12, 291 301. Finney, D. J. (1946). Recent developments in the design of eld experiments. III. Fractional replication. Journal of Agricultural Science, 36, 184 191. Fisher, R. A. (1918). The correlation between relatives on the supposition of Mendelian inheritance. Transactions of the Royal Society of Edinburgh, 52, 399 433. Fisher, R. A. (1925). Statistical methods for research workers. Edinburgh: Oliver & Boyd. Fisher, R. A. (1926). The arrangement of eld experiments. Journal of the Ministry of Agriculture, 33, 503 513. Fisher, R. A. (1935). The design of experiments. Edinburgh: Oliver & Boyd. Fisher, R. A., & Mackenzie, W. A. (1923). Studies in crop variation. II. The manurial response of different potato varieties. Journal of Agricultural Science, 13, 311 320. Harris, R. J. (1994). ANOVA: An analysis of variance primer. Itasca, IL: Peacock. Hays, W. L. (1963). Statistics. Fort Worth, TX: Holt, Rinehart and Winston. Hedges, L. V. (1981). Distributional theory for Glass s estimator of effect size and related estimators. Journal of Educational Statistics, 6, 107 128. Hocking, R. R. (1985). The analysis of linear models. Paci c Grove, CA: Brooks/Cole. Hocking, R. R., & Speed, F. M. (1975). A full rank analysis of some linear model problems. Journal of the American Statistical Association, 70, 706 712. Kempthorne, O. (1947). A simple approach to confounding and fractional replication in factorial experiments. Biometrika, 34, 255 272. Keppel, G. (1991). Design and analysis: A researcher s handbook (3rd ed.). Englewood Cliffs, NJ: Prentice-Hall. Kirk, R. E. (1995). Experimental design: Procedures for the behavioral sciences (3rd ed.). Paci c Grove, CA: Brooks/Cole.

NTF: Nouvelle Triangulation de la France. At a place called La croix du Pantheon. 11 The standard parallels are those where the cone is secant to the Earth s ellipsoid.

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