JDM in adolescents 1 Judgment and decision making in ...
JDM in adolescents 1 Judgment and decision making in ...
JDM in adolescents 1 Judgment and decision making in ...
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<strong>Judgment</strong> <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g <strong>in</strong> <strong>adolescents</strong><br />
Wändi Bru<strong>in</strong>e de Bru<strong>in</strong><br />
Carnegie Mellon University<br />
To appear <strong>in</strong>:<br />
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 1<br />
M.K. Dhami, A. Schlottmann, <strong>and</strong> M. Waldmann (Eds.), <strong>Judgment</strong> <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g as a<br />
skill: Learn<strong>in</strong>g, development, <strong>and</strong> evolution.<br />
Please address correspondence to Wändi Bru<strong>in</strong>e de Bru<strong>in</strong>, Carnegie Mellon University,<br />
Department of Social <strong>and</strong> Decision Sciences, 5000 Forbes Avenue, Porter Hall 208,<br />
Pittsburgh PA 15213; w<strong>and</strong>i@cmu.edu (email); 412-268-3237 (phone); 412-268-6938 (fax)<br />
This chapter benefited from comments by Sonya Brady, M<strong>and</strong>eep Dhami, Baruch Fischhoff,<br />
Anne Schlottmann, <strong>and</strong> one anonymous reviewer, as well as from research assistance by<br />
M<strong>and</strong>y Holbrook.
Introduction<br />
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 2<br />
Adolescence is a stage <strong>in</strong> which <strong>in</strong>dividuals transition from childhood to adulthood,<br />
typically def<strong>in</strong>ed as spann<strong>in</strong>g the teenage years. Adolescents face many important <strong>decision</strong>s,<br />
often for the first time <strong>in</strong> their lives. These <strong>decision</strong>s may <strong>in</strong>volve dr<strong>in</strong>k<strong>in</strong>g alcohol, smok<strong>in</strong>g<br />
cigarettes, us<strong>in</strong>g other substances, <strong>and</strong> hav<strong>in</strong>g sex (Eaton et al., 2006; Faden, 2006; Kle<strong>in</strong>,<br />
2006), as well as engag<strong>in</strong>g <strong>in</strong> aggressive <strong>and</strong> violent behaviors (Loeber <strong>and</strong> Hay, 1997). As<br />
newly licensed drivers, <strong>adolescents</strong> need to make <strong>decision</strong>s about driv<strong>in</strong>g that <strong>in</strong>fluence their<br />
risk of experienc<strong>in</strong>g motor-vehicle accidents (Lourens, Vissers, <strong>and</strong> Jessurun; 1999; Turner<br />
<strong>and</strong> McClure, 2003). Adolescents may legally decide to seek part-time employment, with<br />
potential consequences for their performance <strong>in</strong> school (Ste<strong>in</strong>berg, Fegley, <strong>and</strong> Dornbusch,<br />
1993).<br />
Policy makers, parents, teachers, <strong>and</strong> other adults responsible for the welfare of<br />
<strong>adolescents</strong> need to decide whether <strong>adolescents</strong> have the competence to make <strong>decision</strong>s on<br />
their own. If adolescent <strong>decision</strong> mak<strong>in</strong>g competence is overestimated, then <strong>adolescents</strong> may<br />
feel overwhelmed with <strong>decision</strong>s that are too difficult for them. If it is underestimated,<br />
however, then <strong>adolescents</strong> may needlessly be kept from the autonomy they seem to desire,<br />
<strong>and</strong> may be ill-prepared for mak<strong>in</strong>g their own <strong>decision</strong>s later <strong>in</strong> life.<br />
The question of whether <strong>adolescents</strong> have sufficient <strong>decision</strong>-mak<strong>in</strong>g competence also<br />
has legal implications. If <strong>adolescents</strong> have the <strong>decision</strong>-mak<strong>in</strong>g competence of adults, one<br />
could argue that they should legally be treated as adults. That is, competent <strong>adolescents</strong><br />
should not need parental consent to seek care for their sexual health, substance use problems,<br />
or mental health. However, it could also be argued that competent <strong>adolescents</strong> should be<br />
tried as adults when they are accused as a crime (see Halpern-Felsher <strong>and</strong> Cauffman, 2001).<br />
Behavioral <strong>decision</strong> research offers a framework for evaluat<strong>in</strong>g, <strong>and</strong>, if needed,<br />
improv<strong>in</strong>g adolescent <strong>decision</strong> mak<strong>in</strong>g competence, <strong>and</strong> <strong>in</strong>cludes the follow<strong>in</strong>g three l<strong>in</strong>es of
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 3<br />
research (Fischhoff, 2008). First, research on <strong>decision</strong> mak<strong>in</strong>g <strong>in</strong>volves normative analyses<br />
that identify the pr<strong>in</strong>ciples to be followed <strong>in</strong> order to make <strong>decision</strong>s that are most likely to<br />
meet the <strong>decision</strong>-makers goals. Second, descriptive analyses exam<strong>in</strong>e how <strong>adolescents</strong><br />
make <strong>decision</strong>s, with judgments about the quality of their <strong>decision</strong>-mak<strong>in</strong>g processes be<strong>in</strong>g<br />
made on the basis of these normative pr<strong>in</strong>ciples. Third, prescriptive analyses identify ways to<br />
improve <strong>adolescents</strong>’ <strong>decision</strong>-mak<strong>in</strong>g processes, focus<strong>in</strong>g on fix<strong>in</strong>g the gaps between the<br />
normative <strong>and</strong> the descriptive results. The follow<strong>in</strong>g sections discuss each of these three<br />
l<strong>in</strong>es of research, as it has focused on adolescent <strong>decision</strong>-mak<strong>in</strong>g competence. The studies<br />
discussed <strong>in</strong> each section are drawn from research <strong>in</strong> judgment <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g as well<br />
as developmental psychology <strong>and</strong> public health.<br />
Normative Analysis: How Should Adolescents Make Decisions?<br />
Studies of how people make <strong>decision</strong>s typically <strong>in</strong>clude normative judgments about<br />
the quality of these <strong>decision</strong>s, <strong>in</strong> terms of how these <strong>decision</strong>s should have been made. In<br />
general, these normative theories posit that a good <strong>decision</strong>-mak<strong>in</strong>g process should <strong>in</strong>volve<br />
(a) assess<strong>in</strong>g beliefs about the likelihood that different possible outcomes will occur, for each<br />
of the available options (b) assess<strong>in</strong>g the value of each possible outcome related to each<br />
available option, <strong>in</strong> terms of how well it helps the <strong>decision</strong> maker to achieve his or her goals,<br />
<strong>and</strong> (c) comb<strong>in</strong><strong>in</strong>g probabilistic beliefs <strong>and</strong> values to choose the option that is most likely to<br />
lead to the best possible outcome for the <strong>decision</strong> maker. The sections below provide more<br />
detail about how normative theories propose to judge the quality of these three <strong>decision</strong>-<br />
mak<strong>in</strong>g processes.<br />
Assess<strong>in</strong>g beliefs<br />
A <strong>decision</strong>-maker’s assessed probability beliefs may be evaluated for correspondence,<br />
<strong>in</strong> terms of comparison to an external objective criterion, <strong>and</strong> coherence, <strong>in</strong> terms of be<strong>in</strong>g
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 4<br />
consistent with other beliefs expressed by the <strong>decision</strong> maker. For example, judged<br />
probabilities about specific events (e.g., gett<strong>in</strong>g a high school diploma by age 20) should be<br />
an accurate reflection of statistical population estimates (e.g., the percent of 20-year olds who<br />
have a high school diploma). Because such statistical estimates are often not available for<br />
every event, probability judgments may also be evaluated by their coherence. That is,<br />
multiple probability judgments made by one <strong>in</strong>dividual should be consistent with each other,<br />
adher<strong>in</strong>g to the rules of probability theory (Fischhoff, 2008; Hammond, 1990). For example,<br />
the judged probability of two events happen<strong>in</strong>g <strong>in</strong> conjunction (e.g., be<strong>in</strong>g <strong>in</strong> school next year<br />
<strong>and</strong> gett<strong>in</strong>g a high school diploma by age 20) should be smaller than or equal to the judged<br />
probability of each <strong>in</strong>dividual event happen<strong>in</strong>g on its own. Similarly, the judged probabilities<br />
of mutually exclusive events (e.g., gett<strong>in</strong>g a high-school diploma by age 20 versus not)<br />
should add up to 100%. Such coherence is a necessary, but not a sufficient, condition for<br />
accuracy.<br />
Assess<strong>in</strong>g values<br />
A <strong>decision</strong>-maker’s values may also be evaluated <strong>in</strong> terms of correspondence, <strong>in</strong><br />
terms of adherence to normative st<strong>and</strong>ards, <strong>and</strong> coherence, <strong>in</strong> terms of show<strong>in</strong>g <strong>in</strong>ternal<br />
consistency. Correspondence norms that apply to assessed values <strong>in</strong>clude the sunk cost rule,<br />
which posits that good <strong>decision</strong>s should be made on the basis of expected future outcomes,<br />
without consider<strong>in</strong>g unrecoverable past expenditures. The latter are also referred to as “sunk<br />
costs.” Thus, it is normatively <strong>in</strong>correct to cont<strong>in</strong>ue <strong>in</strong>vestments <strong>in</strong> a course of action that is<br />
no longer profitable. For example, a good <strong>decision</strong> maker should be will<strong>in</strong>g to stop watch<strong>in</strong>g<br />
a movie that he or she no longer enjoys, even if he or she paid to watch it (see Arkes <strong>and</strong><br />
Blumer, 1985).<br />
Judg<strong>in</strong>g assessed values by their coherence <strong>in</strong>volves compar<strong>in</strong>g an <strong>in</strong>dividual’s<br />
choices for <strong>in</strong>ternal consistency, or the extent to which they reflect stable preferences. While
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 5<br />
values may vary across different <strong>decision</strong> makers, an <strong>in</strong>dividual’s values should be unaffected<br />
by normatively irrelevant variations <strong>in</strong> the way <strong>in</strong>formation is presented. For example,<br />
judgments of condom quality should be <strong>in</strong>dependent of whether a type of condom is<br />
described as 95% effective or 5% <strong>in</strong>effective (L<strong>in</strong>ville, Fisher, <strong>and</strong> Fischhoff, 1993), <strong>and</strong><br />
evaluations of a medical treatment should be <strong>in</strong>dependent of whether it is described as hav<strong>in</strong>g<br />
a 75% survival rate or as hav<strong>in</strong>g a 25% mortality rate (Lev<strong>in</strong>, Schnittjer, <strong>and</strong> Thee, 1988).<br />
Comb<strong>in</strong><strong>in</strong>g beliefs <strong>and</strong> values to make choices<br />
Normative theories pose that <strong>decision</strong> makers should choose the course of action that<br />
is most likely to lead to an outcome that will best meet their goals, given their values <strong>and</strong><br />
their beliefs. Mak<strong>in</strong>g <strong>decision</strong>s typically <strong>in</strong>volves mak<strong>in</strong>g trade-offs, compar<strong>in</strong>g all of the<br />
available options <strong>in</strong> terms of their expected risks <strong>and</strong> benefits. Good <strong>decision</strong> makers may<br />
defensibly choose to take risks to <strong>in</strong>crease the likelihood of ga<strong>in</strong><strong>in</strong>g the benefits they desire<br />
(Goldberg <strong>and</strong> Fischhoff, 2000; Goldberg, Halpern-Felsher, <strong>and</strong> Millste<strong>in</strong>, 2002). For<br />
example, <strong>adolescents</strong> may choose to have sex to foster closeness <strong>in</strong> their romantic<br />
relationships, thus accept<strong>in</strong>g the risk of unwanted pregnancy <strong>and</strong> sexually transmitted<br />
<strong>in</strong>fections (Brady <strong>and</strong> Halpern-Felsher, 2008; Furman <strong>and</strong> Shaffer, 2003). Adolescents may<br />
also choose to experiment with smok<strong>in</strong>g cigarettes <strong>and</strong> dr<strong>in</strong>k<strong>in</strong>g alcohol to look more “cool”<br />
<strong>and</strong> feel more relaxed, thus accept<strong>in</strong>g the potential damag<strong>in</strong>g health effects (Brady, Song, <strong>and</strong><br />
Halpern-Felsher, 2008). Decisions to engage <strong>in</strong> some potentially risky behaviors, such as<br />
hav<strong>in</strong>g sex <strong>and</strong> dr<strong>in</strong>k<strong>in</strong>g alcohol, may actually be considered part of a normal adolescence<br />
(Baumr<strong>in</strong>d, 1987), <strong>and</strong>, ultimately, a normal adulthood.<br />
Furthermore, <strong>in</strong>dividuals may need to make different <strong>decision</strong>s <strong>in</strong> order to optimize<br />
their goals, as a result of hav<strong>in</strong>g different beliefs <strong>and</strong> values. A specific option may be likely<br />
to meet one <strong>in</strong>dividual’s goals, but not another’s. If <strong>adolescents</strong> <strong>and</strong> adults show systematic<br />
differences <strong>in</strong> their beliefs <strong>and</strong> values, then there may be <strong>in</strong>stances <strong>in</strong> which they should not
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 6<br />
be mak<strong>in</strong>g the same <strong>decision</strong>s. Moreover, their differences <strong>in</strong> beliefs <strong>and</strong> values may make it<br />
difficult for them to judge the quality of one another’s <strong>decision</strong>s (Keren <strong>and</strong> Bru<strong>in</strong>e de Bru<strong>in</strong>,<br />
2003).<br />
Potential shortcom<strong>in</strong>gs<br />
Because <strong>decision</strong>-mak<strong>in</strong>g outcomes are easier to observe than <strong>decision</strong>-mak<strong>in</strong>g<br />
processes, it may be tempt<strong>in</strong>g to evaluate the quality of <strong>adolescents</strong>’ <strong>decision</strong>s by the<br />
outcomes they experience (Baron <strong>and</strong> Hershey, 1988). People who do so may fail to<br />
recognize that <strong>decision</strong>s tend to be made under uncerta<strong>in</strong>ty, with chance play<strong>in</strong>g a role <strong>in</strong><br />
determ<strong>in</strong><strong>in</strong>g the obta<strong>in</strong>ed outcomes. As a result of chance, good <strong>decision</strong>-mak<strong>in</strong>g processes<br />
may sometimes result <strong>in</strong> a poor outcome, <strong>and</strong> bad <strong>decision</strong>-mak<strong>in</strong>g processes may sometimes<br />
result <strong>in</strong> a good outcome. Normative theories therefore posit that <strong>decision</strong>s should be<br />
evaluated on the basis of their processes, rather than their outcomes (e.g., Edwards, Kiss,<br />
Majone, <strong>and</strong> Toda, 1984; Keren <strong>and</strong> Bru<strong>in</strong>e de Bru<strong>in</strong>, 2003; Raiffa, 1968; von W<strong>in</strong>terfeldt<br />
<strong>and</strong> Edwards, 1986). In the long run, however, better <strong>decision</strong>-mak<strong>in</strong>g processes should result<br />
<strong>in</strong> better <strong>decision</strong>-mak<strong>in</strong>g outcomes – <strong>in</strong> terms of fulfill<strong>in</strong>g the goals of the <strong>decision</strong> maker<br />
(Frisch <strong>and</strong> Clemen, 1994; Frisch <strong>and</strong> Jones, 1993; Hershey <strong>and</strong> Baron, 1992, 1995).<br />
If <strong>adolescents</strong> are judged by the outcomes they experience, they may appear to be<br />
poor <strong>decision</strong> makers. Indeed, <strong>adolescents</strong> may be more likely than adults to experience<br />
specific negative life outcomes. For example, <strong>adolescents</strong> are more likely than adults to be<br />
<strong>in</strong>volved <strong>in</strong> motor vehicle accidents, <strong>in</strong>clud<strong>in</strong>g those related to dr<strong>in</strong>k<strong>in</strong>g <strong>and</strong> driv<strong>in</strong>g (Lourens<br />
et al., 1999; National Highway Traffic Safety Adm<strong>in</strong>istration, 2003; Turner <strong>and</strong> McClure,<br />
2003). Sexually active <strong>adolescents</strong> are more likely than sexually active adults to experience<br />
condom failures (Crosby, S<strong>and</strong>ers, Yarber, <strong>and</strong> Graham, 2003; Macaluso et al., 1999), <strong>and</strong> to<br />
acquire sexually transmitted <strong>in</strong>fections such as HIV (Centers for Disease Control <strong>and</strong><br />
Prevention, 2004). Compared to adult women, adolescent females are more likely to
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 7<br />
experience sexual assault (Humphrey <strong>and</strong> White, 2000; Smith, White, <strong>and</strong> Holl<strong>and</strong>, 2003),<br />
<strong>and</strong> have higher abortion rates (Jones, Darroch, <strong>and</strong> Henshaw, 2002). Although the<br />
experience of negative life outcomes may be affected by uncontrollable factors such as<br />
disadvantaged socio-economic status (Brady <strong>and</strong> Mathhews, 2002) <strong>and</strong> exposure to violence<br />
(Brady, Tschann, Pasch, Flores, <strong>and</strong> Ozer, 2008), the choices <strong>in</strong>dividuals make presumably<br />
also affect the outcomes they experience <strong>in</strong> their lives.<br />
Yet, some have argued that it is appropriate for adults to judge the quality of<br />
<strong>adolescents</strong>’ <strong>decision</strong>s, because they may have <strong>in</strong>sights <strong>in</strong>to how <strong>adolescents</strong> will feel about<br />
their <strong>decision</strong>s <strong>in</strong> their adult future (Reyna <strong>and</strong> Farley, 2006). That argument may be<br />
especially relevant for adolescent <strong>decision</strong>s that may have consequences persist<strong>in</strong>g <strong>in</strong>to<br />
adulthood. Studies <strong>in</strong> a variety of doma<strong>in</strong>s suggest that <strong>adolescents</strong>’ risky choices are <strong>in</strong>deed<br />
related to experienc<strong>in</strong>g negative outcomes later <strong>in</strong> life. For example, <strong>in</strong>itiat<strong>in</strong>g cigarette<br />
smok<strong>in</strong>g at a younger age is related to smok<strong>in</strong>g more <strong>and</strong> develop<strong>in</strong>g nicot<strong>in</strong>e dependence <strong>in</strong><br />
subsequent years (Gervais, O’Loughl<strong>in</strong>, Meshefedjian, Bancej, <strong>and</strong> Tremblay, 2006) <strong>and</strong><br />
hav<strong>in</strong>g a higher risk of gett<strong>in</strong>g lung cancer as an adult (Hegmann et al., 1993). Start<strong>in</strong>g to<br />
dr<strong>in</strong>k at a younger age is related to develop<strong>in</strong>g alcohol dependence <strong>in</strong> adulthood, as well as to<br />
academic difficulties, employment problems, substance use, <strong>and</strong> violent behaviors – all of<br />
which may affect life outcomes experienced <strong>in</strong> adulthood (Ellickson, Tucker, <strong>and</strong> Kle<strong>in</strong>,<br />
2003; Grant <strong>and</strong> Dawson, 1997; Gruber, DiClemente, Anderson, <strong>and</strong> Lodico, 1996).<br />
Adolescent obesity, presumably reflect<strong>in</strong>g unhealthy choices <strong>in</strong> diet <strong>and</strong> exercise, is likely to<br />
persist <strong>in</strong>to adulthood, <strong>and</strong> is related to <strong>in</strong>creased risk of heart disease, other health problems,<br />
<strong>and</strong> premature death (Must, 1996). Adolescent females are physiologically more susceptible<br />
than adult women to acquir<strong>in</strong>g sexually transmitted <strong>in</strong>fections (Critchlow et al., 1995), whose<br />
long-term consequences may <strong>in</strong>clude <strong>in</strong>fertility, <strong>and</strong> cervical cancer (Dillner et al., 1997;<br />
Grodste<strong>in</strong>, Goldman, <strong>and</strong> Cramer, 1993; Wall<strong>in</strong> et al., 2002). Because the reported results
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 8<br />
tend to be correlational, it is unclear whether, for these specific topics, <strong>decision</strong>s made as an<br />
adolescent did <strong>in</strong>deed affect the outcomes experienced as an adult. However, logically, it<br />
makes sense that some of <strong>adolescents</strong>’ <strong>decision</strong>s will have long-term consequences,<br />
potentially caus<strong>in</strong>g <strong>decision</strong>al regret <strong>in</strong> adulthood.<br />
Us<strong>in</strong>g adults’ feel<strong>in</strong>gs of regret as a st<strong>and</strong>ard for judg<strong>in</strong>g the quality of life <strong>decision</strong>s<br />
may also mean question<strong>in</strong>g <strong>decision</strong>s made <strong>in</strong> adulthood. When asked to report their life<br />
regrets, adults <strong>in</strong>clude <strong>decision</strong>s that are likely made <strong>in</strong> adulthood, such as not work<strong>in</strong>g harder<br />
<strong>in</strong> one’s career, or not gett<strong>in</strong>g a divorce (Gilovich <strong>and</strong> Medvec, 1995; Lecci, Ocun, <strong>and</strong><br />
Karoly, 1994; Wrosch <strong>and</strong> Heckhausen, 2002).<br />
Nevertheless, regret may be used as a st<strong>and</strong>ard for evaluat<strong>in</strong>g <strong>decision</strong>s. Researchers<br />
<strong>in</strong> judgment <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g have developed regret theory, def<strong>in</strong><strong>in</strong>g regret as the<br />
difference between the experienced outcome <strong>and</strong> the best outcome that would have been<br />
experienced if another course of action had been chosen (Loomes <strong>and</strong> Sugden, 1982). Taken<br />
as a normative theory of <strong>decision</strong> mak<strong>in</strong>g, regret theory posits that good <strong>decision</strong>s are ones<br />
that m<strong>in</strong>imize regret, given the <strong>decision</strong> maker’s beliefs <strong>and</strong> values. Do<strong>in</strong>g so would entail<br />
the avoidance of choos<strong>in</strong>g options that have any chance of lead<strong>in</strong>g to a catastrophic outcome<br />
– even if, overall, it has the best chance of fulfill<strong>in</strong>g the <strong>decision</strong>-maker’s goals. In that<br />
sense, regret theory deviates from traditional normative theories of <strong>decision</strong> mak<strong>in</strong>g.<br />
The next section presents descriptive studies of how <strong>adolescents</strong> actually make<br />
judgments <strong>and</strong> <strong>decision</strong>s, as compared to normative st<strong>and</strong>ards. It exam<strong>in</strong>es whether<br />
<strong>adolescents</strong> have the ability to adhere to the various normative pr<strong>in</strong>ciples of <strong>decision</strong> mak<strong>in</strong>g,<br />
<strong>and</strong> are able to apply these skills to <strong>decision</strong>s when faced with the pressures of real-world<br />
<strong>decision</strong>s. It provides possible explanations for why <strong>adolescents</strong> may be more likely than<br />
adults to take seem<strong>in</strong>gly unwise risks, <strong>in</strong> some real-world contexts.
Descriptive Analysis: How Do Adolescents Make Decisions?<br />
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 9<br />
Descriptive behavioural research exam<strong>in</strong>es how people actually make judgments <strong>and</strong><br />
<strong>decision</strong>s, typically compar<strong>in</strong>g elements of their <strong>decision</strong>-mak<strong>in</strong>g performance to specific<br />
normative st<strong>and</strong>ards. For example, research participants may be given questions that ask<br />
them to assess the probability of various events happen<strong>in</strong>g to them, to exam<strong>in</strong>e whether their<br />
assessed beliefs are <strong>in</strong>ternally consistent. Similarly, research participants may be given<br />
vignettes describ<strong>in</strong>g <strong>decision</strong>-mak<strong>in</strong>g scenarios <strong>in</strong> which costs have been sunk, to exam<strong>in</strong>e<br />
whether their values follow the sunk-cost rule. Most of these studies hone <strong>in</strong> on specific<br />
elements of the <strong>decision</strong>-mak<strong>in</strong>g process, systematically vary<strong>in</strong>g elements of hypothetical<br />
<strong>decision</strong> scenarios. Such experiments have contributed to researchers’ underst<strong>and</strong><strong>in</strong>g of<br />
when <strong>and</strong> why people’s <strong>decision</strong>s violate pr<strong>in</strong>ciples of coherence <strong>and</strong> correspondence (Dawes<br />
<strong>and</strong> Hastie, 2001; Kahneman, Slovic, <strong>and</strong> Tversky, 1982; Yates, 1990).<br />
Assum<strong>in</strong>g that the conditions under which <strong>decision</strong>-mak<strong>in</strong>g errors occur generalize to<br />
the broader population, judgment <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g researchers have typically recruited<br />
undergraduate college students for participation <strong>in</strong> their studies. Participants under the age of<br />
18 are more difficult to recruit, requir<strong>in</strong>g approval from officials at the schools or other<br />
organizations through which they are contacted, as well as written parental consent<br />
(Esbensen, Melde, Taylor, <strong>and</strong> Peterson, 2008). Perhaps as a result, the descriptive studies<br />
that have been conducted <strong>in</strong> the field of judgment <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g have largely ignored<br />
<strong>in</strong>dividual differences <strong>in</strong> <strong>decision</strong>-mak<strong>in</strong>g competence, as well as the developmental<br />
progression of <strong>decision</strong>-mak<strong>in</strong>g competence across the lifespan. However, there is a small<br />
but grow<strong>in</strong>g body of research on <strong>in</strong>dividual differences as well as adolescent <strong>decision</strong> mak<strong>in</strong>g<br />
(see Bru<strong>in</strong>e de Bru<strong>in</strong>, Parker <strong>and</strong> Fischhoff, 2007a; Jacobs <strong>and</strong> Klaczynski, 2002; Lopes,<br />
1987; Parker <strong>and</strong> Fischhoff, 2005; Stanovich <strong>and</strong> West, 1998, 2000, 2008).
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 10<br />
Traditionally, developmental research of cognitive development has assumed a l<strong>in</strong>ear<br />
progression toward greater logic <strong>and</strong> efficiency <strong>in</strong> adulthood (Piaget <strong>and</strong> Inhelder, 1978). By<br />
contrast, descriptive research <strong>in</strong> judgment <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g seems to suggest that adults<br />
may not always follow normative pr<strong>in</strong>ciples when mak<strong>in</strong>g <strong>decision</strong>s (Dawes <strong>and</strong> Hastie,<br />
2001; Kahneman, Slovic, <strong>and</strong> Tversky, 1982; Yates, 1990). Therefore, the quality of<br />
<strong>adolescents</strong>’ <strong>decision</strong>s should not just be evaluated <strong>in</strong> terms of normative st<strong>and</strong>ards, but also<br />
<strong>in</strong> comparison to adult <strong>decision</strong> mak<strong>in</strong>g. Whether or not they follow normative pr<strong>in</strong>ciples,<br />
adults are considered competent <strong>in</strong> the eyes of the law. It could therefore be argued that<br />
<strong>adolescents</strong> should earn the same rights as adults when their <strong>decision</strong>-mak<strong>in</strong>g skills become<br />
similar to those of adults (Halpern-Felsher <strong>and</strong> Cauffman, 2001).<br />
The follow<strong>in</strong>g section discusses descriptive research on adolescent <strong>decision</strong> mak<strong>in</strong>g,<br />
as compared to normative st<strong>and</strong>ards, as well as adult <strong>decision</strong> mak<strong>in</strong>g. It is based on recent<br />
reviews of the literature that describe how <strong>adolescents</strong> perform on the judgment <strong>and</strong> <strong>decision</strong><br />
mak<strong>in</strong>g tasks that have traditionally been studied us<strong>in</strong>g adults (Fischhoff, 2008; Jacobs <strong>and</strong><br />
Klaczynski, 2001; Reyna <strong>and</strong> Farley, 2006). Like the previous section on normative <strong>decision</strong><br />
mak<strong>in</strong>g, the present section is divided <strong>in</strong> the ability (a) to assess beliefs, (b) to assess values,<br />
<strong>and</strong> (c) to comb<strong>in</strong>e beliefs <strong>and</strong> values to choose between options.<br />
Assess<strong>in</strong>g beliefs<br />
Studies on <strong>adolescents</strong>’ ability to assess probability beliefs have used st<strong>and</strong>ards of<br />
correspondence as well as st<strong>and</strong>ards of coherence. Few studies have evaluated <strong>adolescents</strong>’<br />
probability judgments by the st<strong>and</strong>ards of coherence. Those that have seem to suggest that<br />
children <strong>and</strong> <strong>adolescents</strong> may be better able than adults to judge probabilities that are<br />
<strong>in</strong>ternally consistent. For example, as children transition <strong>in</strong>to adolescence <strong>and</strong> young<br />
adulthood, they become more, rather than less, likely to commit the conjunction fallacy -- by<br />
judg<strong>in</strong>g higher probabilities for the comb<strong>in</strong>ation of two events happen<strong>in</strong>g than each
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 11<br />
<strong>in</strong>dividual event happen<strong>in</strong>g (Davidson, 1995; Klaczynksi, 2001). However, they are also<br />
more likely to judge probabilities on the basis of base rates rather than stereotypes, thus be<strong>in</strong>g<br />
able to avoid the representativeness heuristic (Jacobs <strong>and</strong> Potenza, 1991).<br />
Studies that use st<strong>and</strong>ards of correspondence suggest that <strong>adolescents</strong>’ judged<br />
probabilities of different events happen<strong>in</strong>g <strong>in</strong> their lives are related to their actual life<br />
experiences. In the 1997 wave of the National Longitud<strong>in</strong>al Study of Youth, a nationally<br />
representative sample of U.S. <strong>adolescents</strong> was asked to judge their probability of<br />
experienc<strong>in</strong>g various significant life events, <strong>in</strong>clud<strong>in</strong>g gett<strong>in</strong>g a high school diploma by age<br />
20. Their mean judged probability for this event was significantly related to self-reports of<br />
whether or not these adolescent respondents were <strong>in</strong> school, as given on the survey (Fischhoff<br />
et al., 2000). The National Longitud<strong>in</strong>al Study of Youth has been able to follow these<br />
adolescent respondents through early adulthood, ask<strong>in</strong>g them every subsequent year whether<br />
or not various events have happened <strong>in</strong> their lives. Longitud<strong>in</strong>al analyses showed that the<br />
probability judgments of hav<strong>in</strong>g a high school diploma by age 20, as given by participat<strong>in</strong>g<br />
<strong>adolescents</strong> <strong>in</strong> 1997 were relatively accurate, with participants’ mean probability judgment<br />
reflect<strong>in</strong>g the proportion of these participants who reported hav<strong>in</strong>g a high school diploma by<br />
the time they were surveyed at age 20, <strong>and</strong> valid, as seen <strong>in</strong> significant correlations between<br />
<strong>in</strong>dividuals’ probability judgments <strong>and</strong> self-reports of whether or not they had a high school<br />
diplma at age 20 (Bru<strong>in</strong>e de Bru<strong>in</strong>, Parker, <strong>and</strong> Fischhoff, 2007b).<br />
Additional research suggested that <strong>adolescents</strong>’ judged probabilities may even have<br />
predictive validity <strong>in</strong> contexts that are emotionally charged. Female <strong>adolescents</strong>’ judged<br />
probabilities of whether they may be <strong>in</strong>fected with Chlamydia have been shown to predict<br />
whether or not they subsequently test positive on a cl<strong>in</strong>ical Chlamydia test, even after<br />
controll<strong>in</strong>g for demographic variables <strong>and</strong> sexual history (Bru<strong>in</strong>e de Bru<strong>in</strong>, Downs, Murray,<br />
<strong>and</strong> Fischhoff, <strong>in</strong> press). Thus, these probability judgments may be simpler, less obtrusive,
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 12<br />
<strong>and</strong> conta<strong>in</strong> more <strong>in</strong>formation than self-reports of demographic background <strong>and</strong> sexual<br />
activity that typically <strong>in</strong>form physicians’ <strong>decision</strong>s about whether or not to give patients a<br />
cl<strong>in</strong>ical Chlamydia test.<br />
However, st<strong>and</strong>ards of correspondence prescribe that it is not sufficient for <strong>decision</strong><br />
makers to judge probabilities that have external validity, <strong>in</strong> terms of be<strong>in</strong>g related to their<br />
actual life experiences. To <strong>in</strong>form effective <strong>decision</strong>s, probability judgments should also be<br />
accurate, <strong>in</strong> terms of reflect<strong>in</strong>g the objective percent chance that the predicted event will<br />
happen. Significant correlations between judged probabilities <strong>and</strong> outcomes may be observed<br />
even when <strong>decision</strong> makers misjudge the absolute magnitude of probabilities. Indeed,<br />
<strong>adolescents</strong>’ judged probabilities of dy<strong>in</strong>g <strong>in</strong> the next year <strong>and</strong> by age 20 are significantly<br />
correlated to the threats they perceive <strong>in</strong> their lives – yet, their absolute probability judgments<br />
show that they largely overestimate their actual probability of dy<strong>in</strong>g (Fischhoff, Bru<strong>in</strong>e de<br />
Bru<strong>in</strong>, Parker, Millste<strong>in</strong>, <strong>and</strong> Halpern-Felsher, <strong>in</strong> press). By comparison, adults seem better<br />
capable than <strong>adolescents</strong>, at judg<strong>in</strong>g their probability of dy<strong>in</strong>g by a certa<strong>in</strong> age (Hurd <strong>and</strong><br />
McGarry, 1995, 2002).<br />
Compared to adults, <strong>adolescents</strong> also overestimate their likelihood of experienc<strong>in</strong>g a<br />
variety of health-related risks, such as becom<strong>in</strong>g addicted to alcohol, cigarettes or other<br />
various substances, gett<strong>in</strong>g a sexually transmitted disease, <strong>and</strong> hav<strong>in</strong>g an unwanted pregnancy<br />
(Cohn, Macfarlane, Yanez, <strong>and</strong> Imai, 1995; Millste<strong>in</strong> <strong>and</strong> Halpern-Felsher, 2002; Quadrel,<br />
Fischhoff, <strong>and</strong> Davis, 1993). As <strong>adolescents</strong> age <strong>and</strong> ga<strong>in</strong> experience with the related risky<br />
behaviors (e.g., dr<strong>in</strong>k<strong>in</strong>g alcohol smok<strong>in</strong>g cigarettes, us<strong>in</strong>g substances, hav<strong>in</strong>g sex), they may<br />
learn that negative outcomes are not actually as likely as they perceived them to be. For<br />
example, sexually active <strong>adolescents</strong> tend to have lower <strong>and</strong> more realistic judgments of the<br />
risks of gett<strong>in</strong>g pregnant or contract<strong>in</strong>g HIV (Gerrard, Gibbons, Benth<strong>in</strong>, <strong>and</strong> Hessl<strong>in</strong>g, 1996;<br />
Halpern-Felsher et al., 2001).
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 13<br />
Adolescents’ tendency to overestimate these probabilities can only partially be<br />
expla<strong>in</strong>ed by their confusion about how to accurately use probabilities. Adolescents are more<br />
likely than adults to use “50%” when they do not know what number to use <strong>in</strong> response to a<br />
probability question, lead<strong>in</strong>g to overestimations of small risks (Bru<strong>in</strong>e de Bru<strong>in</strong>, Fischhoff,<br />
Millste<strong>in</strong>, <strong>and</strong> Halpern-Felsher, 2000). However, even when 50% responses are removed<br />
from the analyses, <strong>adolescents</strong>’ judged probabilities may still be higher than adults’ judged<br />
probabilities.<br />
Assess<strong>in</strong>g values<br />
Few descriptive studies have exam<strong>in</strong>ed <strong>adolescents</strong>’ ability to assess values. Those<br />
that have used the st<strong>and</strong>ards of coherence <strong>and</strong> correspondence, <strong>and</strong> show mixed results.<br />
Some studies suggest support for traditional theories of l<strong>in</strong>ear developmental progression.<br />
That evidence comes from studies about correspondence to normative rules. Compared to<br />
early-<strong>adolescents</strong>, mid-<strong>adolescents</strong> are less likely to commit a variety of reason<strong>in</strong>g errors<br />
(Klaczynski, 2001), <strong>in</strong>clud<strong>in</strong>g the sunk-cost fallacy (Klaczynski <strong>and</strong> Cottrell, 2004).<br />
However, despite the possible age-related improvement, adults still honor sunk costs when<br />
normative rules hold that they should not (Arkes <strong>and</strong> Blumer, 1985).<br />
Other evidence questions the traditional theories of l<strong>in</strong>ear developmental progression.<br />
Compared to older <strong>decision</strong> makers, young children aged 4-5 are less likely to make fram<strong>in</strong>g<br />
errors, such that their preferences are less likely to be affected by normatively irrelevant<br />
variations <strong>in</strong> the description of <strong>decision</strong> options (Reyna <strong>and</strong> Ellis, 1994). Thus, <strong>adolescents</strong>’<br />
values may show less coherence than that of children, <strong>in</strong> the sense of show<strong>in</strong>g consistency<br />
across different frames. Adults’ preferences are also <strong>in</strong>consistent, <strong>in</strong> terms of show<strong>in</strong>g this<br />
fram<strong>in</strong>g effect (Tversky <strong>and</strong> Kahneman, 1981).
Comb<strong>in</strong><strong>in</strong>g beliefs <strong>and</strong> values<br />
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 14<br />
Few studies have exam<strong>in</strong>ed how <strong>adolescents</strong> comb<strong>in</strong>e beliefs <strong>and</strong> values, when<br />
mak<strong>in</strong>g their <strong>decision</strong>s. Those that have been conducted suggest that <strong>adolescents</strong> are<br />
outperformed by adults. Compared to adults, <strong>adolescents</strong> generate fewer risks <strong>and</strong> benefits of<br />
<strong>decision</strong> options (Beyth-Marom, Aust<strong>in</strong>, Fischhoff, Palmgren, <strong>and</strong> Jacobs-Quadrel, 1993;<br />
Halpern-Felsher <strong>and</strong> Cauffman, 2001) <strong>and</strong> are less likely to report seek<strong>in</strong>g advice to support<br />
their <strong>decision</strong>s (Halpern-Felsher <strong>and</strong> Cauffman, 2001). This f<strong>in</strong>d<strong>in</strong>g may be due to<br />
<strong>adolescents</strong> be<strong>in</strong>g less likely than adults to recognize the limitations of their <strong>decision</strong>-relevant<br />
knowledge. Indeed, some studies suggest that such overconfidence <strong>in</strong> <strong>decision</strong>-relevant<br />
knowledge decreases with age (Crawford <strong>and</strong> Stankov, 1996; Klaczynski, 2001).<br />
Potential shortcom<strong>in</strong>gs<br />
It should be noted that the developmental studies that have been described <strong>in</strong> this<br />
section used a cross-sectional design compar<strong>in</strong>g different groups of adults <strong>and</strong> <strong>adolescents</strong>,<br />
rather than a longitud<strong>in</strong>al design follow<strong>in</strong>g <strong>adolescents</strong> as they grow older over time. One<br />
potential draw-back of cross-sectional designs is that differences between <strong>adolescents</strong> <strong>and</strong><br />
adults may reflect variations <strong>in</strong> the experiences of the <strong>in</strong>dividuals <strong>in</strong> these cohorts rather than<br />
developmental differences. For example, <strong>adolescents</strong>’ exposure to exaggerated warn<strong>in</strong>gs<br />
about the risks of hav<strong>in</strong>g sex may lead them to judge higher risks of gett<strong>in</strong>g pregnant or<br />
sexually transmitted <strong>in</strong>fections compared to adults who were not subject to such education<br />
(Cohn et al., 1995; Millste<strong>in</strong> <strong>and</strong> Halpern-Felsher, 2002; Quadrel et al., 1993). Such cohort<br />
effects may vary as the nature of sexuality education changes over time.<br />
To date, descriptive studies exam<strong>in</strong><strong>in</strong>g how <strong>adolescents</strong> perform on various traditional<br />
judgment <strong>and</strong> <strong>decision</strong>-mak<strong>in</strong>g tasks have suggested a mixed pattern of results. Adolescents’<br />
assessments of probabilities may be coherent, <strong>in</strong> terms of show<strong>in</strong>g <strong>in</strong>ternal consistency,<br />
without necessarily show<strong>in</strong>g correspondence to external st<strong>and</strong>ards. Possibly, coherence
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 15<br />
reflects a cognitive skill that <strong>adolescents</strong> have mastered, while correspondence improves with<br />
experience that <strong>adolescents</strong> still lack. The latter is supported by the f<strong>in</strong>d<strong>in</strong>g that <strong>adolescents</strong>’<br />
probability judgments become more accurate as they ga<strong>in</strong> experience with risky behaviours<br />
<strong>and</strong> related outcomes (Gerrard et al., 1996; Halpern-Felsher et al., 2001).<br />
Fewer studies have exam<strong>in</strong>ed <strong>adolescents</strong>’ ability to assess values, or to comb<strong>in</strong>e<br />
beliefs <strong>and</strong> values to make <strong>decision</strong>s. However, here, too, a mixed pattern of results emerged,<br />
across studies us<strong>in</strong>g different measures, <strong>in</strong> terms of the development of these abilities with<br />
age. Some studies showed more <strong>and</strong> others showed less normatively appropriate behaviour<br />
with age. When adults are shown to deviate from normative rules <strong>in</strong> their judgments <strong>and</strong><br />
<strong>decision</strong>s, their presumed errors seem to show a systematic rather than a r<strong>and</strong>om pattern.<br />
These results suggest that adults are not confused about how to answer, but, rather, have<br />
learned to systematically violate specific normative rules as they age. Possibly, they are<br />
rely<strong>in</strong>g on simplify<strong>in</strong>g heuristics, or rules of thumb, to make their judgments <strong>and</strong> <strong>decision</strong>s.<br />
It has been argued that us<strong>in</strong>g these heuristics may be adaptive, because they reduce the<br />
cognitive capacity needed to make effective judgments <strong>and</strong> <strong>decision</strong>s (Gigerenzer, Todd, <strong>and</strong><br />
the ABC Group, 1999). Moreover, these heuristics may even be appropriate, if real-world<br />
judgments <strong>and</strong> <strong>decision</strong>s are structured <strong>in</strong> a way that is different from those used <strong>in</strong> these<br />
judgment <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g studies. For example, it has been argued that recipients<br />
should be sensitive to whether real-world messages are framed <strong>in</strong> positive or negative terms,<br />
because it presents relevant <strong>in</strong>formation held by the speaker (McKenzie, 2004; Sher <strong>and</strong><br />
McKenzie, 2005; McKenzie <strong>and</strong> Nelson, 2003).<br />
Recent theories of adolescent <strong>decision</strong> mak<strong>in</strong>g have adopted a dual-process approach<br />
to expla<strong>in</strong> the mixed pattern of results described above. Although dual-process approaches<br />
are still <strong>in</strong> need of development (for critiques, see Keren <strong>and</strong> Schul, <strong>in</strong> press), they generally<br />
dist<strong>in</strong>guish between analytical <strong>and</strong> <strong>in</strong>tuitive abilities (e.g., Evans <strong>and</strong> Over, 1996; Sloman,
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 16<br />
1996; Stanovich <strong>and</strong> West, 2000). Analytical abilities may be needed to figure out how to<br />
adhere to normative rules of judgment <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g, while <strong>in</strong>tuitive ability may<br />
additionally be needed to make <strong>decision</strong>s <strong>in</strong> the real world. Developmental dual-process<br />
theories suggest that these two sets of abilities may mature at different rates, such that<br />
<strong>adolescents</strong> may have the analytical ability needed to follow complex normative pr<strong>in</strong>ciples,<br />
but lack the <strong>in</strong>tuitive ability to make real-world <strong>decision</strong>s. For example, it has been<br />
suggested that, compared to adults, <strong>adolescents</strong> are still lack<strong>in</strong>g the emotional/<strong>in</strong>tuitive ability<br />
needed to recognize when heuristics may benefit <strong>decision</strong>s (Jacobs <strong>and</strong> Klaczynski, 2001;<br />
Klaczynksi <strong>and</strong> Cottrell, 2004); quickly comprehend the <strong>in</strong>tuitive gist of a risky <strong>decision</strong><br />
(Reyna, 2004; Reyna <strong>and</strong> Farley, 2006); resist “hot” impulses sway<strong>in</strong>g them from the<br />
<strong>decision</strong>s they had planned to make <strong>in</strong> a “cold” state (Gerrard, Gibbons, Houlihan, Stock, <strong>and</strong><br />
Pomery, 2008); have sufficient self-regulation to <strong>in</strong>hibit their drive to seek rewards<br />
(Ste<strong>in</strong>berg, 2008); <strong>and</strong> to resist tak<strong>in</strong>g risks <strong>in</strong> the presence of their peers that they would not<br />
have taken if they were on their own (Gardner <strong>and</strong> Ste<strong>in</strong>berg, 2005).<br />
If <strong>adolescents</strong>’ ability to make hypothetical <strong>decision</strong>s <strong>in</strong> the psychological laboratory<br />
does not translate to the <strong>decision</strong>s they make <strong>in</strong> the real world, then traditional judgment <strong>and</strong><br />
<strong>decision</strong> mak<strong>in</strong>g studies may have limited external validity (Dhami, Hertwig, <strong>and</strong> Hoffrage,<br />
2004; Gigerenzer et al., 1999; Kle<strong>in</strong>, 1999). Fortunately, two recent studies have suggested<br />
that performance on traditionally studied hypothetical judgment <strong>and</strong> <strong>decision</strong>-mak<strong>in</strong>g tasks is<br />
significantly correlated to real-world <strong>decision</strong> outcomes, thus suggest<strong>in</strong>g some level of<br />
external validity (Bru<strong>in</strong>e de Bru<strong>in</strong> et al., 2007a; Parker <strong>and</strong> Fischhoff, 2005). Both studies<br />
used a comprehensive measure of Decision-Mak<strong>in</strong>g Competence, one developed for<br />
<strong>adolescents</strong> (Youth-DMC; Parker <strong>and</strong> Fischhoff, 2005) <strong>and</strong> one developed for adults (Adult-<br />
DMC; Bru<strong>in</strong>e de Bru<strong>in</strong> et al., 2007a), cover<strong>in</strong>g hypothetical <strong>decision</strong>-mak<strong>in</strong>g tasks that have<br />
traditionally been used to exam<strong>in</strong>e adherence to normative rules relevant to belief assessment
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 17<br />
(e.g. consistency <strong>in</strong> risk perception), value assessment (e.g., resistance to fram<strong>in</strong>g, resistance<br />
to sunk costs), <strong>and</strong> the comb<strong>in</strong>ation of beliefs <strong>and</strong> values when mak<strong>in</strong>g <strong>decision</strong>s (e.g.,<br />
apply<strong>in</strong>g <strong>decision</strong> rules). Adolescents who are more likely to follow these norms are less<br />
likely to engage <strong>in</strong> risky <strong>and</strong> del<strong>in</strong>quent behaviours (Parker <strong>and</strong> Fischhoff, 2005). Adults<br />
who are better able to follow these norms obta<strong>in</strong> better outcomes <strong>in</strong> their lives, as self-<br />
reported <strong>in</strong> the Decision Outcome Inventory (Bru<strong>in</strong>e de Bru<strong>in</strong> et al. 2007a). Both of these<br />
results hold after controll<strong>in</strong>g for performance on exist<strong>in</strong>g measures of general cognitive<br />
ability, suggest<strong>in</strong>g that <strong>decision</strong>-mak<strong>in</strong>g competence measures are more proximal to real-<br />
world <strong>decision</strong> outcomes.<br />
These validation studies, however, do not show whether there is a causal l<strong>in</strong>k between<br />
<strong>decision</strong>-mak<strong>in</strong>g competence <strong>and</strong> life outcomes. R<strong>and</strong>omized controlled studies would be<br />
needed to exam<strong>in</strong>e whether people who are taught to follow normative rules of judgment <strong>and</strong><br />
<strong>decision</strong> mak<strong>in</strong>g will improve their life outcomes, compared to a control group. Participants<br />
<strong>in</strong> such studies would be r<strong>and</strong>omly assigned to receiv<strong>in</strong>g education <strong>in</strong> <strong>decision</strong>-mak<strong>in</strong>g or a<br />
control group, <strong>and</strong> followed over time to exam<strong>in</strong>e the effect on their performance on paper-<br />
<strong>and</strong>-pencil measures of <strong>decision</strong>-mak<strong>in</strong>g competence as well as their experienced life<br />
<strong>decision</strong> outcomes. In the next section, we discuss prescriptive analyses aim<strong>in</strong>g to improve<br />
<strong>adolescents</strong>’ <strong>decision</strong>-mak<strong>in</strong>g competence <strong>and</strong> outcomes.<br />
Prescriptive Analysis: How Can We Improve Adolescents’ Decisions?<br />
Prescriptive studies exam<strong>in</strong>e the effectiveness of strategies for improv<strong>in</strong>g adolescent<br />
<strong>decision</strong> mak<strong>in</strong>g. Below, we discuss programs that have targeted <strong>adolescents</strong>’ health<br />
<strong>decision</strong>s <strong>and</strong> programs that have targeted <strong>adolescents</strong>’ <strong>decision</strong> mak<strong>in</strong>g.
Programs target<strong>in</strong>g adolescent health behaviors<br />
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 18<br />
Adolescents have been targeted by many <strong>in</strong>terventions designed to <strong>in</strong>form their<br />
<strong>decision</strong>s <strong>in</strong> a wide variety of doma<strong>in</strong>s, <strong>in</strong>clud<strong>in</strong>g, for example, sexual behavior, eat<strong>in</strong>g<br />
disorders, obesity, physical activity, smok<strong>in</strong>g, <strong>and</strong> drug use (for reviews, see Kirby, 2002a,<br />
2002b; Stice, Shaw, <strong>and</strong> Marti, 2006; Skara <strong>and</strong> Sussman, 2003; Wiehe, Garrison, Christakis,<br />
Ebel, <strong>and</strong> Rivara, 2005). Many of these programs have little to no effect on <strong>adolescents</strong>’ real-<br />
world <strong>decision</strong>s, possibly because they are not based on normative analyses of how<br />
<strong>adolescents</strong> should make <strong>decision</strong>s, or descriptive analyses of how <strong>adolescents</strong> are mak<strong>in</strong>g<br />
these <strong>decision</strong>s. Reviews of sexuality education have suggested that programs that are<br />
grounded <strong>in</strong> normative <strong>and</strong> descriptive approaches may be more likely to affect <strong>adolescents</strong>’<br />
behavior <strong>and</strong> outcomes (e.g., DiCenso, Guyatt, Willan, <strong>and</strong> Griffith, 2002; Kim, Stanton, Li,<br />
Dickerson, <strong>and</strong> Galbraith, 1997; McKay, 2000; Michie <strong>and</strong> Abraham, 2004).<br />
If programs have a normative basis, they tend to rely on the health belief model<br />
(Becker <strong>and</strong> Rosenstock, 1987), the theory of planned behavior (Ajzen, 1991), or protection-<br />
motivation theory (Rogers, 1983). These theories propose l<strong>in</strong>ear statistical models to predict<br />
<strong>in</strong>tended health behavior from variables such as perceived vulnerability to risk, perceived<br />
social norms, perceived barriers to implement<strong>in</strong>g risk reduc<strong>in</strong>g behaviors, <strong>and</strong> perceived self-<br />
efficacy to overcome those barriers. Indeed, these general concepts are loosely based on the<br />
normative approach to <strong>decision</strong> mak<strong>in</strong>g that is described above. However, these l<strong>in</strong>ear<br />
models have been criticized for, among other th<strong>in</strong>gs, be<strong>in</strong>g statistically <strong>in</strong>dist<strong>in</strong>guishable,<br />
generat<strong>in</strong>g few testable hypotheses, <strong>and</strong> fail<strong>in</strong>g to provide specific suggestions on what<br />
<strong>adolescents</strong> need to know to improve their <strong>decision</strong>s (Brewer <strong>and</strong> Rimer, 2008; Dawes <strong>and</strong><br />
Corrigan, 1974; Ogden, 2003; Reyna <strong>and</strong> Farley, 2006). Moreover, the <strong>in</strong>tentions they aim to<br />
predict may not be related to actual behaviors, especially among <strong>adolescents</strong>, who may be<br />
less able than adults to behave as they <strong>in</strong>tended, when faced with real-world pressures on
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 19<br />
<strong>decision</strong> mak<strong>in</strong>g (Gardner <strong>and</strong> Ste<strong>in</strong>berg, 2005; Gerrard et al., 2008; Reyna <strong>and</strong> Farley,<br />
2006).<br />
Although these models of health behavior have been adapted from normative theories<br />
of <strong>decision</strong> mak<strong>in</strong>g, they differ <strong>in</strong> important respects. While health theories of behavior<br />
change evaluate a <strong>decision</strong> by whether a risk reduction behavior is chosen, normative theories<br />
of <strong>decision</strong> mak<strong>in</strong>g evaluate a <strong>decision</strong> by the quality of <strong>decision</strong> mak<strong>in</strong>g processes. As a<br />
result, one ma<strong>in</strong> difference between the two approaches perta<strong>in</strong>s to their treatment of judged<br />
risks. Health theories of behavior change predict that better <strong>decision</strong>s (as shown <strong>in</strong> choos<strong>in</strong>g<br />
risk reduction behaviors) will be made by <strong>decision</strong> makers who perceive themselves to be at<br />
higher risk, <strong>and</strong> even overestimate their risk. Normative theories of <strong>decision</strong> mak<strong>in</strong>g predict<br />
that better <strong>decision</strong>s (as shown <strong>in</strong> better processes) will be made by <strong>decision</strong> makers who can<br />
accurately judge absolute <strong>and</strong> relative risks of different behaviors.<br />
Thus, models of health behavior may <strong>in</strong>spire communications that aim to <strong>in</strong>crease<br />
perceived risk without consider<strong>in</strong>g accuracy. Perhaps as a result of such warn<strong>in</strong>g messages,<br />
<strong>adolescents</strong> are more likely than adults to overestimate the risks of negative health outcomes<br />
related to risky behaviors, such as hav<strong>in</strong>g sex <strong>and</strong> us<strong>in</strong>g various substances (Millste<strong>in</strong> <strong>and</strong><br />
Halpern-Felsher, 2002). However, when <strong>adolescents</strong> start engag<strong>in</strong>g <strong>in</strong> those risky behaviors,<br />
they may f<strong>in</strong>d out that these negative outcomes are not actually that likely. For example,<br />
sexually active <strong>adolescents</strong> judge the risks of gett<strong>in</strong>g pregnant or contract<strong>in</strong>g HIV as lower<br />
than do absta<strong>in</strong>ers, <strong>and</strong> <strong>adolescents</strong> who had been passengers <strong>in</strong> a car with a drunk driver<br />
judged the risk of gett<strong>in</strong>g <strong>in</strong>to a drunk-driv<strong>in</strong>g accident as lower than those who did not have<br />
that experience (Gerrard et al., 1996; Halpern-Felsher et al., 2001). Perhaps as a result,<br />
<strong>adolescents</strong> may become frustrated with educators’ use of scare tactics (DiCenso, Borthwick,<br />
Busca, Creatura, Holmes, Kalagian, <strong>and</strong> Part<strong>in</strong>gon, 2001).
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 20<br />
These results counter the folk wisdom that <strong>adolescents</strong> perceive themselves as<br />
<strong>in</strong>vulnerable, <strong>and</strong> have implications beyond the psychological laboratory. Adolescents may<br />
experience serious consequences from overestimat<strong>in</strong>g risks. Female <strong>adolescents</strong> who do not<br />
get pregnant after an episode of unprotected sex may conclude that they are <strong>in</strong>fertile, <strong>and</strong><br />
cont<strong>in</strong>ue to engage <strong>in</strong> more unprotected sex (Downs, Bru<strong>in</strong>e de Bru<strong>in</strong>, Murray, <strong>and</strong> Fischhoff,<br />
2004). That conclusion is likely to be unwarranted, <strong>and</strong> can have serious consequences: those<br />
who believe that they are <strong>in</strong>fertile are more likely to have unprotected sex, which puts them at<br />
risk for pregnancy (Downs, Bru<strong>in</strong>e de Bru<strong>in</strong>, et al., 2004). Thus, programs may be more<br />
effective <strong>in</strong> the long run if they teach people to have realistic expectations (Rothman, 2000).<br />
Programs target<strong>in</strong>g adolescent <strong>decision</strong>-mak<strong>in</strong>g<br />
Few <strong>decision</strong>-mak<strong>in</strong>g researchers have been <strong>in</strong>volved with the development <strong>and</strong><br />
evaluation of programs target<strong>in</strong>g adolescent <strong>decision</strong>-mak<strong>in</strong>g competence (for exceptions, see<br />
Baron <strong>and</strong> Brown, 1991). One notable exception is the GOFER program, which aims to<br />
teach <strong>adolescents</strong> general <strong>decision</strong>-mak<strong>in</strong>g skills, <strong>in</strong> the hope of ultimately improv<strong>in</strong>g<br />
<strong>adolescents</strong>’ real-world <strong>decision</strong>s <strong>and</strong> outcomes (Mann, Harmoni, Power, Beswick, <strong>and</strong><br />
Ormond, 1988). The program teaches <strong>adolescents</strong> the normative approach to mak<strong>in</strong>g<br />
<strong>decision</strong>s described above, emphasiz<strong>in</strong>g the relevance of assess<strong>in</strong>g valid <strong>and</strong> consistent<br />
beliefs <strong>and</strong> values, <strong>and</strong> comb<strong>in</strong><strong>in</strong>g beliefs <strong>and</strong> values to choose the option that is most likely<br />
to achieve the <strong>decision</strong>-maker’s goals. In addition, it also borrows from descriptive research,<br />
teach<strong>in</strong>g <strong>adolescents</strong> how to cope with the social, motivational, <strong>and</strong> emotional pressures that<br />
may sway their <strong>decision</strong>s (Janis <strong>and</strong> Mann, 1977). The program has been shown to improve<br />
<strong>adolescents</strong>’ self-reports of their <strong>decision</strong> habits, as well as their knowledge of <strong>decision</strong>-<br />
mak<strong>in</strong>g processes, compared to a no-treatment control group. However, it has not been<br />
evaluated <strong>in</strong> terms of effects on real-world <strong>decision</strong>s <strong>and</strong> outcomes.
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 21<br />
Another <strong>in</strong>tervention developed by <strong>decision</strong>-mak<strong>in</strong>g researchers specifically targets<br />
female <strong>adolescents</strong>’ sexual <strong>decision</strong>s (Downs, Murray, et al., 2004; see also Bru<strong>in</strong>e de Bru<strong>in</strong>,<br />
Downs, <strong>and</strong> Fischhoff, 2007). An <strong>in</strong>teractive DVD addressed deliberative skills <strong>and</strong><br />
emotional/experiential skills that <strong>adolescents</strong> seemed to need to make better <strong>decision</strong>s, as<br />
suggested <strong>in</strong> descriptive research discussed above. For example, the program explicitly<br />
addressed female <strong>adolescents</strong>’ tendency to overestimate sex-related risks, show<strong>in</strong>g how they<br />
vary for different behaviors <strong>and</strong> accumulate with repeated exposures. It also addressed<br />
female <strong>adolescents</strong>’ perceptions of hav<strong>in</strong>g little control over their <strong>in</strong>teractions with their<br />
partners, teach<strong>in</strong>g them the skills needed to negotiate safer sexual behaviors with their sexual<br />
partners. Specifically, the DVD showed adolescent females <strong>in</strong>teract<strong>in</strong>g with adolescent<br />
males, allow<strong>in</strong>g viewers to choose how the female character would respond to pressure from<br />
the male character. Viewers were asked to perform cognitive rehearsal, imag<strong>in</strong><strong>in</strong>g what they<br />
would say or do <strong>in</strong> such a situation (B<strong>and</strong>ura, 2000; Maibach <strong>and</strong> Flora, 1993), that <strong>in</strong>creases<br />
the perceived feasibility of implement<strong>in</strong>g <strong>decision</strong>s which may otherwise seem difficult or<br />
daunt<strong>in</strong>g (Driskell, Copper, <strong>and</strong> Moran, 1994). A longitud<strong>in</strong>al trial follow<strong>in</strong>g 300 sexually<br />
active female <strong>adolescents</strong> over the course of six months showed that, compared to controls,<br />
those view<strong>in</strong>g the DVD were significantly more likely to become abst<strong>in</strong>ent, less likely to<br />
experience condom failures if they did choose to have sex, <strong>and</strong> less likely to be diagnosed<br />
with a sexually transmitted <strong>in</strong>fection (Downs, Murray, et al., 2004).<br />
Potential shortcom<strong>in</strong>gs<br />
Unfortunately, policy makers <strong>and</strong> educators do not always use evidence provided by<br />
exist<strong>in</strong>g prescriptive research to select programs for <strong>adolescents</strong>. For example, many U.S.<br />
schools present <strong>adolescents</strong> with abst<strong>in</strong>ence-only education that leaves out <strong>in</strong>formation about<br />
condom use, because it is feared that present<strong>in</strong>g such <strong>in</strong>formation will encourage <strong>adolescents</strong><br />
to become sexually active – even though there is no evidence for that claim (Kirby, 2002a).
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 22<br />
Similar arguments have been made to prevent <strong>adolescents</strong> from access<strong>in</strong>g free condoms or<br />
over-the-counter emergency contraception (also referred to as the morn<strong>in</strong>g after pill), without<br />
there be<strong>in</strong>g any evidence that these risk reduction strategies <strong>in</strong>crease sexual activity (Gold,<br />
Wolford, Smith, <strong>and</strong> Parker, 2004; Kirby, 2002b). Needle exchange programs have also been<br />
opposed, even though they have been shown to reduce needle shar<strong>in</strong>g <strong>and</strong> related HIV-risk,<br />
without <strong>in</strong>creas<strong>in</strong>g drug use <strong>in</strong> the community (Drucker, Lurie, Wodak, <strong>and</strong> Alcabes, 1998).<br />
Present<strong>in</strong>g <strong>adolescents</strong> with <strong>in</strong>effective programs creates opportunity costs, <strong>in</strong> the<br />
sense of us<strong>in</strong>g time that could have been spent on effective programs. It may also potentially<br />
harm <strong>adolescents</strong>, if they are taught strategies that make them worse off. For example,<br />
sexuality education promot<strong>in</strong>g “abst<strong>in</strong>ence-only” may be less effective than those that<br />
promote both abst<strong>in</strong>ence <strong>and</strong> condom use (McKay, 2000; Kirby, 2002). Adolescents who<br />
choose to be abst<strong>in</strong>ent may be less likely to use contraception when they eventually decide to<br />
have sex (Bearman <strong>and</strong> Brueckner, 2001). Even <strong>adolescents</strong> who believe that they are<br />
“abst<strong>in</strong>ent” may be putt<strong>in</strong>g themselves at risk for acquir<strong>in</strong>g sexually transmitted <strong>in</strong>fections,<br />
because they may <strong>in</strong>terpret it as <strong>in</strong>clud<strong>in</strong>g oral sex (Remez, 2000) <strong>and</strong> even anal sex<br />
(Schuster, Bell, <strong>and</strong> Kanouse, 1996).<br />
Even when educators present <strong>adolescents</strong> with programs that have been shown to be<br />
effective, they may make changes that threaten that effectiveness – either <strong>in</strong>advertently or on<br />
the basis on their own <strong>in</strong>tuitions. Teachers have also been shown to leave out taboo topics<br />
that are relevant to <strong>adolescents</strong>’ <strong>decision</strong>s (Halper<strong>in</strong>, 1999). Do<strong>in</strong>g so may threaten the<br />
quality of the program, <strong>and</strong> reduce its previously reported effect on adolescent <strong>decision</strong><br />
mak<strong>in</strong>g. Indeed, programs that effectively reduced <strong>adolescents</strong>’ risk tak<strong>in</strong>g <strong>in</strong> r<strong>and</strong>omized<br />
controlled trials have not had a good record <strong>in</strong> community sett<strong>in</strong>gs, due to reduced fidelity to<br />
content (Maher, Peterman, Osewe, Odusanya, <strong>and</strong> Scerba, 2003; Rob<strong>in</strong>son et al., 2002;<br />
Valdiserri, Ogden, <strong>and</strong> McCray, 2003). In the context of obesity prevention, tra<strong>in</strong>ed
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 23<br />
<strong>in</strong>terventionists were better than regular classroom teachers <strong>in</strong> effectively convey<strong>in</strong>g program<br />
content (Stice, Shaw, <strong>and</strong> Marti, 2006). Moreover, video-based programs about condom use<br />
are more effective than facilitator-led programs <strong>in</strong> terms of reduc<strong>in</strong>g <strong>adolescents</strong>’ probability<br />
of acquir<strong>in</strong>g sexually transmitted <strong>in</strong>fections (O’Donnell, O’Donnell, San Doval, Duran, &<br />
Labes, 1995; O’Donnell, San Doval, Duran, & O’Donnell, 1998). These results suggest the<br />
importance of consistently present<strong>in</strong>g effective program content teach<strong>in</strong>g <strong>adolescents</strong> how to<br />
improve their real-world <strong>decision</strong>s <strong>and</strong> their experienced outcomes.<br />
Summary <strong>and</strong> Conclusions<br />
Behavioral <strong>decision</strong> mak<strong>in</strong>g offers three <strong>in</strong>terrelated l<strong>in</strong>es of research study<strong>in</strong>g<br />
adolescent <strong>decision</strong> mak<strong>in</strong>g. Normative approaches state how <strong>adolescents</strong> should be mak<strong>in</strong>g<br />
<strong>decision</strong>s, <strong>and</strong> posit that beliefs <strong>and</strong> values should show correspondence to external objective<br />
criteria as well as coherence or <strong>in</strong>ternal consistency. Because chance plays a role <strong>in</strong><br />
determ<strong>in</strong><strong>in</strong>g outcomes, even the best possible <strong>decision</strong> may lead to an undesired outcome.<br />
Therefore, normative approaches hold that <strong>decision</strong>s should be evaluated by their processes<br />
<strong>and</strong> not by their outcomes. Across multiple <strong>decision</strong>s, however, good processes should be<br />
more likely than bad processes to lead to good outcomes. With risk tak<strong>in</strong>g <strong>and</strong> related<br />
negative life outcomes seem<strong>in</strong>g more common for <strong>adolescents</strong> than for adults, it has been<br />
argued that <strong>adolescents</strong> are relatively poor <strong>decision</strong> makers – especially if they come to regret<br />
their <strong>decision</strong>s later <strong>in</strong> life. However, if later experiences of regret are used as a st<strong>and</strong>ard for<br />
evaluat<strong>in</strong>g <strong>decision</strong>s, then adults may also be judged as bad <strong>decision</strong> makers. Many life<br />
regrets reported by adults <strong>in</strong>clude <strong>decision</strong>s that are likely made <strong>in</strong> adulthood, such as not<br />
work<strong>in</strong>g harder <strong>in</strong> one’s career, or not gett<strong>in</strong>g a divorce (Gilovich <strong>and</strong> Medvec, 1995; Lecci,<br />
et al., 1994; Wrosch <strong>and</strong> Heckhausen, 2002). Yet, good <strong>decision</strong>s may be ones that m<strong>in</strong>imize
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 24<br />
expected regret, by avoid<strong>in</strong>g options that may produce a catastrophic outcome (Loomes <strong>and</strong><br />
Sugden, 1982).<br />
Descriptive approaches exam<strong>in</strong>e how <strong>adolescents</strong> actually make <strong>decision</strong>s, compar<strong>in</strong>g<br />
the processes they use to those prescribed by normative st<strong>and</strong>ards. Adolescents may<br />
generally be similar to adults <strong>in</strong> terms of their deliberative ability to adhere to various<br />
normative pr<strong>in</strong>ciples, as measured with hypothetical <strong>decision</strong>-mak<strong>in</strong>g problems. However,<br />
they may lack <strong>in</strong>tuitive skills, mak<strong>in</strong>g them less likely than adults to recognize when<br />
heuristics may benefit <strong>decision</strong>s (Jacobs <strong>and</strong> Klaczynski, 2001;Klaczynksi <strong>and</strong> Cottrell,<br />
2004), quickly comprehend the <strong>in</strong>tuitive gist of a risky <strong>decision</strong> (Reyna, 2004; Reyna <strong>and</strong><br />
Farley, 2006), resist impulses towards unplanned risk tak<strong>in</strong>g (Gerrard et al., 2008), have<br />
sufficient self-regulation to <strong>in</strong>hibit their drive to seek rewards (Ste<strong>in</strong>berg, 2008), or counteract<br />
the <strong>in</strong>fluences of their peers (Gardner & Ste<strong>in</strong>berg, 2005). As a result, <strong>adolescents</strong> may be<br />
more likely than adults to sway from their <strong>in</strong>tended <strong>decision</strong>s when faced with real-world<br />
pressures on <strong>decision</strong> mak<strong>in</strong>g. However, more research is needed to underst<strong>and</strong> the specific<br />
<strong>in</strong>tuitive skills <strong>adolescents</strong> would need to make better real-world <strong>decision</strong>s even when faced<br />
with peers <strong>and</strong> impulsivity, how these skills develop as they grow <strong>in</strong>to adults, <strong>and</strong> whether<br />
their effective implementation can be taught before adulthood.<br />
Prescriptive approaches aim to improve <strong>adolescents</strong>’ <strong>decision</strong>s. Most programs<br />
target<strong>in</strong>g adolescent <strong>decision</strong> mak<strong>in</strong>g have been developed by researchers <strong>in</strong> public health,<br />
<strong>and</strong> focus on health <strong>decision</strong>s about sexual behavior, eat<strong>in</strong>g disorders, obesity, <strong>and</strong> other<br />
topics relevant to <strong>adolescents</strong>. Many of these public health programs show mixed results at<br />
best, possibly because <strong>decision</strong>s about what to teach <strong>adolescents</strong> are often not based on<br />
evidence of what works (Michie <strong>and</strong> Abraham, 2004; Reyna <strong>and</strong> Farley, 2006). Effective<br />
programs tend to be grounded <strong>in</strong> normative <strong>and</strong> descriptive analyses, teach<strong>in</strong>g <strong>adolescents</strong><br />
how to overcome any difficulties that they may have <strong>in</strong> apply<strong>in</strong>g normative pr<strong>in</strong>ciples of
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 25<br />
<strong>decision</strong> mak<strong>in</strong>g, as identified <strong>in</strong> descriptive studies (DiCenso et al., 2002; Kim et al., 1997;<br />
Kirby, 2002a, 2002b; McKay, 2000; Michie <strong>and</strong> Abraham, 2004). If programs have a<br />
normative basis, they tend to rely on traditional models of health behavior change. Some of<br />
these models suggest that <strong>in</strong>creas<strong>in</strong>g perceptions of risk will make it more likely that<br />
recipients will avoid risky behaviors. However, as <strong>adolescents</strong> mature, they may ga<strong>in</strong><br />
experience with risky behaviors, <strong>and</strong> may learn that negative outcomes may not be as likely<br />
as they had thought (Gerrard et al., 1996; Halpern-Felsher et al., 2001). Therefore, long-term<br />
ma<strong>in</strong>tenance of healthy behaviors may be more likely with programs that foster realistic<br />
expectations (Rothman, 2000).<br />
Researchers <strong>in</strong> judgment <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g tend to be at home <strong>in</strong> normative <strong>and</strong><br />
descriptive approaches. Yet, to date, they have conducted relatively few prescriptive studies<br />
to develop <strong>and</strong> evaluate programs teach<strong>in</strong>g <strong>decision</strong>-mak<strong>in</strong>g skills to <strong>adolescents</strong> (Baron <strong>and</strong><br />
Brown, 1991). One exception is the GOFER program, which showed improvements <strong>in</strong> self-<br />
reports of <strong>decision</strong> mak<strong>in</strong>g, but was not evaluated <strong>in</strong> terms of effects on actual real-world<br />
<strong>decision</strong>s (Mann et al., 1988). Another exception is a DVD-<strong>in</strong>tervention that successfully<br />
taught female <strong>adolescents</strong> to avoid sexually transmitted <strong>in</strong>fections, as measured <strong>in</strong> self-reports<br />
<strong>and</strong> on a cl<strong>in</strong>ical test (Downs, Murray et al., 2004). These results suggest that <strong>adolescents</strong><br />
may be taught how to make better real-world <strong>decision</strong>s, even ones that may be made <strong>in</strong> “hot”<br />
emotional states rather than “cold” emotional states, <strong>and</strong> under the pressures of real-world<br />
<strong>decision</strong>s.<br />
Traditionally, researchers <strong>in</strong> judgment <strong>and</strong> <strong>decision</strong> mak<strong>in</strong>g have aimed to underst<strong>and</strong><br />
general psychological processes that underlie <strong>decision</strong> mak<strong>in</strong>g, by study<strong>in</strong>g hypothetical<br />
<strong>decision</strong>s made <strong>in</strong> the lab. The development of effective prescriptive programs requires a<br />
better underst<strong>and</strong><strong>in</strong>g of how <strong>adolescents</strong> make real-world <strong>decision</strong>s, as well as the<br />
deliberative <strong>and</strong> <strong>in</strong>tuitive <strong>decision</strong>-mak<strong>in</strong>g skills they need to improve those <strong>decision</strong>s –
<strong>JDM</strong> <strong>in</strong> <strong>adolescents</strong> 26<br />
especially when they may be swayed by peers or their own impulsivity. It also requires<br />
validated measures of these skills, to follow their developmental progression, identify needs<br />
for improvement, <strong>and</strong> to evaluate prescriptive programs that aim to establish that<br />
improvement. Recently validated measures of <strong>decision</strong>-mak<strong>in</strong>g competence (Parker <strong>and</strong><br />
Fischhoff, 2005; Bru<strong>in</strong>e de Bru<strong>in</strong> et al., 2007a) may help to <strong>in</strong>form such descriptive <strong>and</strong><br />
prescriptive l<strong>in</strong>es of research on adolescent <strong>decision</strong> mak<strong>in</strong>g. Thus, behavioral <strong>decision</strong><br />
research may provide the theoretical approach <strong>and</strong> the methodological tools needed to<br />
underst<strong>and</strong> how <strong>adolescents</strong> should make their <strong>decision</strong>s, how they actually make their<br />
<strong>decision</strong>s, <strong>and</strong> how they can improve their <strong>decision</strong>s, if they are provided with programs.<br />
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