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Part II: Mods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
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In managing water resources, institutions and individuals must take into account the impacts of their activities on ecosystems and the precautionary principle Governments must actively encourage a greater awareness of sustainable water use and water issues at all levels of society Governments should prepare legislation immediately to ensure that full cost recovery is achieved with a tariff structure designed to increase ef ciency of water use Subsidies, existing or proposed, should be carefully evaluated to ensure that they accomplish the socioequity goals advanced as their justi cation and do not impose unacceptable environmental impacts Investment in water projects in international catchments should encourage co-operation between catchment countries
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Despite the popularity of Microsoft s Internet Explorer browser (used by approximately 85 percent of all Web surfers), it has been heavily criticized in recent years because numerous security aws have been discovered. Microsoft has always been quick to patch the aws, but its critics still insist that Internet Explorer is unsafe and should be ditched in favor of an alternate browser. What these critics seem to forget is that any Web browser used by the majority of people worldwide will automatically be the main target for Internet criminals. If another browser suddenly became king of the hill, then it too would nd itself in the crosshairs of criminals. Still, you may want to consider using an alternate browser. If so, here are two solid options: Firefox (www.mozilla.org/products/firefox)
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The second set (predictor variables 3 and 4) are based on psychological factors. 1. Recommendation. Recommendation for mammography screening by a health professional is a powerful predictor of screening compliance (Aiken, West, Woodward, & Reno et al., 1994). Here we used a three-category recommendation predictor: (a) physician recommended a mammogram, (b) another health professional recommended a mammogram (e.g., nurse, physician assistant), (c) the woman received no recommendation for a mammogram. 2. Medical risk. We expected intention to take healthprotective action to be related to the woman s objective medical risk of getting the disease. Thus we included a 10-point measure of medical risk for developing breast cancer (see Gail et al., 1989 for an actual measure of risk for breast cancer). 3. Perceived bene ts. Based on the Health Belief Model (Rosenstock, 1990), a well-researched model of the determinants of health protective behavior, we expected that the likelihood of protective health action would increase with increases in the perception of the bene ts of the health action. We included scale scores on a 6-point multiitem scale of bene ts. 4. Worry. Finally, fear or worry about disease may also affect protective health actions. There is disagreement as to whether protective health behavior increases linearly with fear or worry (Aiken et al., 2001). According to some theorizing (Janis & Feshbach, 1953), this relationship may not be linear, but rather curvilinear. Health protective actions may increase as the level of fear increases only up to a point. Beyond this point, compliance with health recommendations begins to diminish as the individual increasingly focuses on coping with overwhelming emotions rather than taking health-protective actions. We included scale scores on a 6-point multi-item scale of breast cancer worry. Descriptive statistics for our simulated data set are provided for each continuous predictor and the criterion in Table 19.1. Panel A presents the possible range, mean, standard deviation, skewness, and kurtosis for the scale variables. Of note, risk and worry are both severely nonnormal, which can affect the ability to detect relationships and to test hypotheses. Panel B presents the frequency and proportion of responses in each of the three categories of the recommendation variable, as well as the arithmetic mean intention score in each category. Panel C presents the correlation matrix and Panel D presents the covariance matrix for the continuous
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MULTIPLE REGRESSION AND MODEL BUILDING
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Method abort() getAllResponseHeaders() Description Stops the current request. Returns complete set of headers (labels and values) as a string.
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Challenges Whereas there has been a dramatic increase in interest in cultural research in recent years, there nonetheless remains a sense in which cultural perspectives remain in a marginal position in the discipline. This may be seen in the stance adopted for cultural considerations most frequently to be treated in a diversity sense, as relevant in explaining exceptions from what are assumed to be the general or default patterns and for psychological theory and psychological generalizations commonly to be formulated without reference to cultural considerations. Concerns have also been raised about the quality of existing cultural research. In this regard, for example, criticisms have been made of the predictive power of recent work in social psychology based on the individualism-collectivism paradigm (e.g., Oyserman et al., 2002; Matsumoto, 1999). Charges have also been made that at least some contemporary cultural research is somewhat simplistic, if not stereotypical, and fails to capture the subtlety of particular cultural outlooks or to forward sophisticated contextually sensitive accounts of psychological functioning (J. G. Miller, 2002). Consideration here is given to ways to overcome some of these limitations and of how to further the promise and potential of cultural psychology to broaden and enrich basic psychological theory.
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