Please read the following
two articles on the decision making strategies that we develop. A strategy is a
plan or system that we design to complete a task--in this case make a decision.
Decision-Making
Strategies
You have to make decisions both large and small
throughout every single day of your life.
- What do you want to have for breakfast?
- What time should you meet a friend for dinner?
- What college should you go to?
- How many children do you want to have?
When faced with some decisions, you might be tempted
to just flip a coin and let chance determine your fate. In most cases, we
follow a certain strategy or series of strategies in order to arrive at a
decision. For many of the relatively minor decisions that we
make each and every day, flipping a coin wouldn't be such a terrible approach.
For some of the complex and important decisions, we are more likely to invest a
lot of time, research, effort, and mental energy into coming to the right
conclusion.
So how exactly does this process work? The following
are some of the major decision-making strategies that you might use:
The Single-Feature Model
This approach involves hinging your decision solely on
a single-feature. For example, imagine that you are buying soap. Faced with a
wide variety of options at your local superstore, you decide to base your
decision on price and buy the cheapest type of soap available. In this case,
you ignored other variables (such as scent, brand, reputation, and effectiveness)
and focused on just a single feature.
The single-feature approach can be effective in
situations where the decision is relatively simple and you are pressed for
time. However, it is generally not the best strategy when dealing with more
complex decisions.
The Additive Feature Model
This method involves taking into account all the
important features of the possible choices and then systematically evaluating
each option. This approach tends to be a better method when making more complex
decisions.
For example, imagine that you are interested in buying
a new camera. You create a list of important features that you want the camera
to have, then you rate each possible option on a scale of -5 to +5. Cameras
that have important advantages might get a +5 rating for that factor, while
those that have major drawbacks might get a -5 rating for that factor. Once you
have looked at each option, you can then tally up the results to determine
which option has the highest rating.
The additive feature model can be a great way to
determine the best option among a variety of choices. As you can imagine,
however, it can be quite time consuming and is probably not the best
decision-making strategy to use if you are pressed for time.
The Elimination by Aspects Model
The elimination by aspects model was first proposed by
psychologist Amos Tversky in 1972. In this approach, you evaluate each option
one characteristic at a time beginning with whatever feature you believe is the
most important. When an item fails to meet the criteria you have established,
you cross the item off your list of options. Your list of possible choices gets
smaller and smaller as you cross items off the list until you eventually arrive
at just one alternative.
Making Decisions in the Face of Uncertainty
The previous three processes are often used in cases
where decisions are pretty straightforward, but what happens when there is a
certain amount of risk, ambiguity, or uncertainty involved? For example,
imagine that you are running late to your psychology class. Should you
drive above the speed limit in order to get there on time, but risk getting a
speeding ticket? Or should you drive the speed limit, risk being late, and
possibly get docked points for missing a scheduled pop quiz? In this case, you
have to weigh the possibility that you might be late for your appointment
against the probability that you will get a speeding ticket.
When making a decision in such a situation, people
tend to employ two different decision-making strategies:
the availability heuristic and
the representativeness heuristic
Remember, a heuristic is a rule-of-thumb
mental short-cut that allows people to make decisions and judgments quickly.
The Availability Heuristic: When we are
trying to determine how likely something is, we often base such estimates on
how easily we can remember similar events happening in the past. For example,
if you are trying to determine if you should drive over the speed limit and
risk getting a ticket, you might think of how many times you have seen people
getting pulled over by a police officer on a particular stretch of highway. If
you cannot immediately think of any examples, you might decide to go ahead and
take a chance, since the availability heuristic has led to you judge that few
people get pulled over for speeding on your particular route. If you can think
of numerous examples of people getting pulled over, you might decide to just
play it safe and drive the suggested speed limit.
The Representativeness
Heuristic: This
mental shortcut involves comparing our current situation to our prototype of a
particular event or behavior. For example, when trying to determine whether you
should speed to get to your class on time, you might compare yourself to
your image a person who is most likely to get a speeding ticket. If your
prototype is that of a careless teen that drives a hot-rod car and you are a
young business-woman who drives a sedan, you might estimate that the
probability of getting a speeding ticket is quite low.
The decision-making process can be both simple (such
as randomly picking out of our available options) or complex (such as
systematically rating different aspects of the existing choices). The strategy
we use depends on various factors, including how much time we have to make the
decision, the overall complexity of the decision, and the amount of ambiguity
that is involved.
What do you think? Do you use any of these
strategies or plans in the times that you are making a decision? Decisions can
be simple and they can be difficult, does it matter? Can you use the same
strategy for either?
Here's the Second Article: (Don't worry it's shorter)
Decision Making Strategies
There are a number of strategies that you can employ
to improve your decision making.
Clarify decision difficulties
List the things that make your decision a difficult
one. Once you clearly define the problems, the solutions are often easier to
see.
List how you can obtain support
Don’t underestimate the help available from friends,
relatives, counselors, and others. Although the decision must ultimately be
yours, you don’t have to go through the decision making process alone.
Consider whether a deeper issue may be
complicating things
For example, parental pressure, lack of confidence, or
motivational problems that may be clouding your decision.
Consider a full range of alternatives using
a decision matrix
There could be alternatives that you may not see at
first glance. Talking to others is one of the best methods to explore such
alternatives.
Spend time clarifying your goals
Decisions should be put within a larger context. If
you do not have clear goals, you will find it difficult to make wise choices.
Once your goals are clear, the best choice between alternatives often becomes
more evident.
Make sure that you have a realistic view of
the consequences
It is common to overestimate the negative consequences
of a decision. Keep things in perspective.
Seek additional help
If you typically have difficulty making any decision
of importance, schedule an appointment with a psychologist in the Counseling
Center to explore your decision-making style.
Use a step-by-step decision making process
Clarify the decision. What needs to be decided?
Identify your options.
Narrow down your list of options to those you consider
most viable.
Consider pros and cons.
What are the advantages and disadvantages of each
option?
Choose among the options.
This is the point in the process where you must assume
the most responsibility; a choice must be made and you are the only one who can
make it.
Take some action.
How are you going to implement the decision?
Review your decision.
Continue to gather information after a decision is
made and revise your decision as necessary.
Adapted from Gary Lynn Harr’s book, Career Guide: Road
Maps to Meaning in the World of Work, 1995.
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