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and used. Although the behaviors to be changed are very
different in each case, there is notable consistency and
complementarity among the major lessons researchers have drawn from
efforts to use scientific information to change behavior. Here are
some of the lessons, stated as general principles:
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1.
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Match informational messages to the characteristics and
situation of the target group. To influence an actor's
behavior, it is important to see the decision situation from that
actor's perspective. One way actors vary is in their capacities to
understand information that is potentially useful to them.
Individuals and groups may differ in levels of basic literacy or in
quantitative and scientific sophistication, and information is most
effective if it meets audiences at their own level. Audiences also
differ in the kinds of information that is most useful given their
particular situationsand, in some situations, the
effectiveness of information depends greatly on other conditions.
For example, energy conservation information has greater effect
among homeowners than renters because there are more things they
can do to take advantage of it, and it also accomplishes more when
energy prices and other incentives give the information a greater
payoff. A forecast of degree-days or precipitation for the next
growing season may, in similar manner, be more useful to farmers
who have a wide range of crop cultivars to choose from due to the
development of sophisticated institutions of plant breeding and
seed marketing; a rainfall forecast may be more useful to dryland
farmers than to irrigators in the same region.
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2.
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In designing informational efforts, consider the entire
information delivery system, not just the message and the
audience. Audiences differ in the sources of information they
use, consider, and trust and in their levels of concern with
particular kinds of hazards and risks. Therefore, it is generally
helpful to get information to audiences from sources they trust
(National Research Council, 1984) and to be sure it addresses their
most serious relevant concerns (National Research Council, 1996b).
For example, home energy conservation programs in the 1970s and
1980s were mainly unsuccessful in attracting low-income households
to participate, even if they offered strong incentives. The
programs that have been most successful with these groups have
disseminated information not only through mailings and the mass
media but through the target populations' favored social networks,
including community organizations and friendship groups (e.g.,
Stern et al., 1986).
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Such considerations imply that any effort to inform a diverse
population of recipients must consider the roles and interactions
of a variety of information sources. Sometimes a division of labor
is advisable among information sources, as when weather services
inform local government
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