Nathan Scarbrough
Chapter 2: Trait-and-Factor
Theory and Developmental Theories of Career Choice and Development
May I
begin by stating that the title of this chapter is a mouthful? Even my abridged version requires the reader
to spend a few extra seconds in order to piece together what’s about to be
discussed. Seriously, I read it, and was like, “Whoa. This is going to be a hard read.”
Moving on…
One
thing I particularly liked about this chapter, as well as our discussions in
class, is that they both defined what makes a theory good, popular, and
accurate. I have a couple of uneducated
friends that saw a Youtube video about a study which claimed to have
empirically proved that water can hold emotions. Essentially, it claimed that if you yelled
angry curse words at a cup of water, then drank it, you would get sick. It bothered me to no end to unsuccessfully
debate why the data and theory were flawed. Had I read this chapter
before-hand, I might have been more successful.
This book explains that it’s important to consider the funding source of
the research, how well defined the constructs making up the theory are, how
easily the theory can be interpreted, the potential for further research on the
theory, the body of research and empirical data supporting the theory, and the
comprehensiveness of the theory is in terms of how many demographics it can be
applied to (for starters, these are just the factors that stood out the most to
me. More factors are listed in our power
points and chapter 2).
The thing I enjoyed most about this
chapter is how the author not only defined some theories for us, he took
strides to specify which theories best fit which groups of people. I’ve considered some of my own assumptions
regarding why people choose certain careers and what makes them feel ultimately
satisfied or dissatisfied with their choice. My exploration of my own ideas,
combined with this book’s thorough description of theories with strengths and
weaknesses of each, has led me to grow a preference for certain theories in
this chapter, and perhaps more important, an attitude of wariness towards
others.
Because I’ll be at my word limit by
the end of this paragraph, I choose to go out debating my view that postmodern
theories are silly and contribute very little to the world of science. That being said, I think that the stance
taken by constructivist theorists is an important one because it questions the
validity of data gathered in positivist theories, however, I still believe that
postmodern theorists went too far. For
example, postmodernists would state that cause and effect relationships cannot
be determined. As a huge believer in
determinism, I think that this statement goes against what I would consider to
be logical. I understand that some
relationships simply have too many factors affecting the outcome for them to be
considered predictable, but I would argue that these things are only
unpredictable at the present time. I
think science itself grows as we attempt to label and give weight to
contributing factors in order to accurately to predict these outcomes, and our
knowledge builds every time this is attempted.
I think data can be
generalized, and although it may lose some accuracy in the attempt, does not
totally abandon its merit. I do not think a researcher’s values should have any
part to play in the experiment, and I do believe individuals can be studied
outside the context in which they function, if the extraneous factors are taken
into account. There are a few more bones
I have to pick with postmodern theorists, but I’ll save those for class. Let me
know what you all think before I get too carried away here.
No comments:
Post a Comment