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Section
1: Gaining Knowledge through Research
Section
2: Experimental Methods
Section
3: Types of Research
Section
4: Analyzing Research Results
Section
5: Introduction to Assessment
Section
6: Assessment Theories
Section
7: Analyzing Assessment Techniques
Experimental Methods
Starting from the
general and moving to the more specific, the first
concept we need to discuss is Theory.
A theory can be defined as a "general principle
proposed to explain how a number of separate facts
are related." In other words, a theory is an
"idea about a relationship." In order to
test whether
a theory is correct or not, we need to do research.
Theories are stated in general terms, so we need to
define more accurately what we will be doing in our
experiment.
To do this, we need to define the variables
in our theory so that they are testable, and every
experiment has two types of variables:
o Independent
Variable (IV)
– the variable that is manipulated by the
experimenter (input
variable)
o Dependent
Variable (DV)
– the outcome variable (results
of the experiment)
By defining our
variables that we will use to test our theory we
derive at our Hypothesis,
which is a testable form of a theory.
As an example of
this, lets say that we have a theory that people who
drive sports cars are more aggressive in theory
interactions with others. Our independent variable
would be the type of car you drive (sports, sedan,
SUV, etc.). Our dependent variables, the outcome of
our research, would be aggression. We would need to
further define aggression so that it is something we
can test such as speeding or cutting other people
off in traffic. We now have the basics of our very
simple experiment and can write our Hypothesis:
People who drive sports cars drive over the speed
limit more frequently than people who drive other
types of cars.
Research Biases
Now we’ve got a hypothesis which is the first
step in doing an experiment. Before we can continue,
however, we need to be aware of some aspects of
research that can contaminate our results. In other
words, what could get in the way of our results in
this study being accurate. These aspects are called
research biases, and there are basically three main
biases we need to be concerned with.
· Selection
Bias
– occurs when differences between groups are
present at the beginning of the experiment.
· Placebo
Effect
– involves the influencing of performance due to
the subject’s belief about the results. In other
words, if I believe the new medication will help
me feel better, I may feel better even if the new
medication is only a sugar pill. This demonstrates
the power of the mind to change a person’s
perceptions of reality.
· Experimenter
Bias
– The same way a person’s belief’s can
influence his or her perception, so can the belief
of the experimenter. If I’m doing an experiment,
and really believe my treatment works, or I really
want the treatment to work because it will mean
big bucks for me, I might behave in a manner that
will influence the subject.
Controlling for
Biases
After carefully reviewing our study and
determining what might effect our results that are
not part of the experiment, we need to control for
these biases. To control for selection bias, most
experiments use what’s called Random
Assignment, which means assigning the
subjects to each group based on chance rather than
human decision. To control for the placebo effect,
subjects are often not informed of the purpose of
the experiment. This is called a Blind
study, because the subjects are blind to the
expected results. To control for experimenter
biases, we can utilize a Double-Blind
study, which means that both the experimenter and
the subjects are blind to the purpose and
anticipated results of the study.
Standardization
We have our hypothesis, and we know what our
subject pool is, the next thing we have to do is standardize
the experiment. Standardization refers to a specific
set of instructions. The reason we want the
experiment to be standardized is twofold.
First,
we want to make sure all subjects are given the same
instructions, presented with the experiment in the
same manner, and that all of the data is collected
exactly the same or all subjects. Second, single
experiments cannot typically stand on their own. To
really show that are results are valid, experiments
need to be replicated by other experimenters with
different subjects. To do this, the experimenters
need to know exactly what we did so they can
replicate it.
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