Post 12
Nathan Scarbrough
HAPPY THANKSGIVING!!
Chapter 16: Evidence Based Practice
This
chapter was a fitting compliment to both the last chapter I wrote my blog on
(chapter 12), and the discussions we had in class last week. My last blog and our discussions focused on
how to implement an effective career-development program in schools to benefit
children and adolescents of all ages.
One of the many important factors we considered was accountability,
which is the focus of this whole chapter.
Accountability
is the system of evaluating processes, outcomes, and contributions of
components to gather accountability data.
In simpler terms, it is how we, as future counselors, prove to the
general public (and more importantly to stakeholders) that our program is doing
a good job at implementing positive change, and that it is worth the money
being put into it. Accountability is
necessary tool, for without it, our schools would still be hemorrhaging money
to support useless programs (such as DARE). A previous blog I read mentioned
that it is a harsh reality that as potential program developers, we constantly
have to defend our work. I think that it
is not harsh at all, but a matter of realizing that we have a responsibility to
prove the effectiveness of our methods to the people putting their faith and
funds into our project in the first place.
Besides, accountability doesn’t just help us defend ourselves and our
programs (to avoid having our programs cut), it helps us collect data so we
know how to better improve our systems in place and lets us know when it would
be appropriate to expand our programs.
In the face of shrinking school budgets, it essential now more than ever
to make sure that no money is put to waste in the educational setting.
Enough
about why accountability is useful; how does one go about doing an evaluation?
This text does a great job at explaining the options available to us, and
pointing out why and when particular methods are or aren’t appropriate. To begin, the experimental model is the “gold
standard” for proving accountability.
That said, it is more often than not an unrealistic one to use in this
setting. Manipulation of variables is a
critical part of the experimental model.
This is usually not possible in the school setting for obvious reasons. That said, there are other options available
to us, including other quantitative, and also qualitative designs. Our books explains that quasi-experimental
designs and surveys are the quantitative designs with the most utility in our
field, and focus groups are the qualitative designs with the most utility in
our field. While quantitative designs
are the most useful for evaluating programs based off of logical positivistic
theories, qualitative designs are in turn most useful for evaluating programs
based off of postmodern theories. That
said, it is important to realize that elements from each qualitative and
quantitative methods can be used (called a mixed model). This is ideal as each method makes up for the
shortcomings inherent in other methods, therefore providing us with a more
complete view of the effectiveness of our programs.
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