I don't know about all of you, but I love analogies. I especially love analogies that are simple and that help point out why something is important. I recently read a very interesting article that helped point out a very crucial aspect of conducting research. And you might be saying to yourself, “Why on earth is she talking about research methods? Isn’t this blog supposed to be about families?” Well don’t you worry, I will get to that as well! But let's first start off with a simple analogy.
Imagine you walk into your laundry room and there is a huge
mound of laundry just waiting for you to do-some of you probably do not have to
use too much of your imagination in order to picture this, me included.
Anyways, you courageously start into this heaping pile of clothes, only to
realize that about 80 percent of the clothes are covered in mud. You roll your
sleeves up and try to scrub the mud out. Unfortunately, and much to your
frustration, you realize that you will need to get some intense stain remover
spray if you want to make any progress. You load up your five little kiddos
into your minivan and drive to the store, blasting that Disney music the whole
way. When you get to the store you rush to the cleaning and laundry isle. But
you know the drill, the kids are much more interested in the candy isle. They
are tugging on your shirt, trying to convince you to buy them some. They even
try the persuasion tactic of promising to share their candy with you. Their
pleading and tugging make it difficult to read about the two different stain
removers that are available. You are torn on which one will get the job done.
Finally, their persistent tugging gets to you. You end up quickly grabbing the cheapest
stain remover and rush to the candy isle. Back at home you put the spray to the
test. It does the job for the most part but there is still some mud stains on a
portion of the clothes. At this point you wish you had just bought both of the
sprays so that you could compare the effects of them. Even though experimenting
with both sprays might have been more expensive and maybe time consuming, it
would have been helpful to know which one works better. You make a note to
yourself that next time you will try both kinds and therefore, better be able
to compare the results and effects.
This analogy demonstrates the importance of comparison
groups. When doing a research experiment, it is important to have two at least
two groups you are comparing against. Just like in the analogy, the mom would
have liked to know which spray got the mud stains out the best. But since she
only got one spray she only new the results that that single spray would
brings. Whether the other spray would have done a better job remains a mystery.
She had no comparison group with in her real life experiment. This is the same
with other experiments, a comparison group is important.
I recently read about an experiment that happened a few
years ago. They wanted to know if children being raised in a gay or lesbian
marriage was negatively effected in comparison to children being raised within
a heterosexual household. I find this a very interesting topic. However, when
doing experiments to test this theory, the researchers did not do a good job of
including comparison groups. In this I mean, they got feedback from the gay and
lesbian marriages but they did not get do very many tests to get feedback from
heterosexual households. So going back to our analogy, they essentially only experiment
with one spray of stain remover and not the other.
So, why is it important to have comparison groups when doing
research experiments that deal with family issues?
Studying behaviors within a family is difficult to measure
and get clear evidence. Therefore, it is extremely important to have comparison
groups during those experiments. You need to be able to compare your results to
better understand the effects that those things have on a family. So here is a
little tip for you: next time you are trying to figure out what things have a big
impact on your family, make sure you look to see if the experiment has comparison
groups.
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