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Research & Experiments

The Scientific Method

NASA SCIence Files
Deductive & Inductive Reasoning
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· Deduction
is one form of finding answers to problems. Deduction is in the form of an
argument that must be both true and valid to be correct. The premises must
be true and the conclusion that follows the premise must be valid. A
deduction is valid only if the conclusion cannot be proven false. Deduction
can take the form of an if/then statement, or several premises, which are
true statements, followed by a conclusion. |
o
Example:
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Children misbehave when they are bored. (premise 1)
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Children are usually bored in grocery stores. (premise 2)
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Children love cookies. (premise 3)
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Parents who stop by the in-store bakery first and get their child
a cookie usually don’t experience misbehaving children while shopping.
(conclusion)
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· Induction
is different in that the conclusion is drawn from a particular fact or piece
of evidence. The conclusion will explain the facts; like investigating a
crime scene and putting the pieces of evidence together to form answers,
keeping in mind the conclusion is your hypothesis. |
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Example:
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Chaz’s territory is #1 in the entire region because he has great
communication and feedback with his stores.
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Kristin looks 15 years younger than her peers because she uses
Mary Kay.
Quantitative and Qualitative Research



Research
Types of Research Designs
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Experimental (& Quasi-Experimental) |
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Correlational |
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Survey |
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Grounded Theory |
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Ethnographic |
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Narrative |
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Mixed Method |
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Action |
A Few Notes on Survey
Research
There are several factors
that limit a survey researcher’s ability to draw valid inference from a sample
to a population. Below is a list of these factors and ways in which a
researcher might reduce such errors.
First, let's define terms...
Inference: An assertion made on the basis of something
else observed or taken as knowledge; used in deductive (known in
advance) and inductive (made more probable based on prior
observations/experiments) arguments.
 | To reduce coverage error, have a good
sampling frame list on which to select individuals. |
 | To reduce sampling error, select as
large a sample from the population as possible. |
 | To reduce measurement error, use a good
instrument with clear, unambiguous questions and response options. This
encourages response & correct answers. |
 | To reduce non-response error, use
rigorous administration procedures to achieve as large a return rate as
possible. |
Experimentation
Experiments utilize different types of technology and equipment
in science, but all experiments share common goals:
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understand problems |
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develop hypotheses |
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design and implement controlled experiments |
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identify independent and dependent variables |
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analyze data |
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draw conclusions |
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think analytically |
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communicate results (using the proper data tables and graphs) |
| Pre-experiment |
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True
experiment |
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Quasi-experiment |
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Weak in scientific measurement
· Fails
to adequately control threat on internal validity (Cooper,
2006).
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Randomly assigns participants to different
conditions.
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Experimental group will get experimental treatment
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Control group does not get treatment, it remains
untouched
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Most threats to internal validity do not arise
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The researcher randomly assigns participants to different
conditions of the experimental variable
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Design looks like a pre-test/post-test
design but it lacks the random assignment of the control groups.
• No
random assignment
• Uses
existing or intact group for study
• More
threats to internal validity than true experiments
• No
random assignment of participants or groups
• This
approach introduces more threats to internal validity:
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Maturation
• Selection
• Mortality
• Interaction
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Measurement
Threats To Validity


Sterling Engine
References:
Clark, D. (1999). Hawthorne effect. Retrieved
May 22, 2007, from The Hawthorne Effect: http://www.nwlink.com/~donclark/hrd/history/hawthorne.html
Cooper, et al. (2006). In Business research
methods (p.283). New York: McGraw-Hill/Irwin.
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