NLA Discussion: Measuring outcomes and/or impact
Robert P Bickerton
rbickerton at doe.mass.edu
Fri Apr 18 08:56:52 EDT 1997
JoAnn, Taylor, et al,
JoAnn raised concerns that funding sources can be inattentive to the
kinds of results/outcomes that are most important to our students. I
believe many are, in fact, very interested in such results; in
Massachusetts we are trying to make the correlation between student
articulated goals and results achieved the cornerstone of our
accountability efforts.
Taylor expresses an inclination toward student articulated goals, but
also wonders whether they will match the macro concerns of policy
leaders. In my experience (and largely in our experience in Mass.), I
find that the vast majority of student articulated goals are a
wonderful match with the educational, family, community and economic
priorities of policy and legislative leaders -- it's our challenge to
find the ways to clearly and concisely articulate the relationships.
On the other hand, I'm less convinced that we've solved the
"statistically sound" question since there are some who will question
the reliability of self-reported data. In some cases we can establish
links between databases to get very hard data/results (e.g., for "got
a job"), but this can be intrusive on our students (most of whom are
not receiving a cash benefit which is often used to justify such
intrusive data collection) and no databases exist to verify the vast
majority of other goals our students strive to achieve. I believe
that not too far in the future, we may need to become adept at
structured sampling approaches in order to verify the reliability of
self-reported data -- a challenge in that we need to dedicate some,
but not too many resources to pull something like this off.
take care,
bob bickerton
rbickerton at doe.mass.edu
______________________________ Reply Separator _________________________________
Subject: NLA Discussion: Measuring outcomes and/or impact
Author: nla at europe.std.com at Internet
Date: 4/18/97 4:37 AM
In response to JoAnn Martin--
Thank you for your work in this field. I regret that you are facing an
uncertain future. Your comments make me wonder about a couple of things:
First, I see a real disconnect between what is statistically sound from a
research perspective and the kind of results that a funder would want to see.
While your model provides a simple statistical checklist that can be
quantified, what does it tell me (as a policy-maker with a predetermined
objective) about the impact of your work on the "larger world" I govern? If
person A came in with Goal 1 and achieved Goal 1, then you have statistical
proof of the effectiveness of your program. But a policy-maker will still
ask, "Does that mean they got off welfare, their children learned to read,
etc?"
Secondly, I see the issue of "learners meeting objectives" as being a moving
target. This is not a bad thing and I would argue is a good thing. Learners
come in for a very specific need in response to an immediate challenge. If we
are successful, they realize that lots of other possiblities exist and their
goal changes, grows, etc. What might have been deemed "success" when they
entered the program suddenly seems minor compared to what they are now
capable of. Also, learners may move on because they are satisfied for now,
but does that mean that they are "successful" by other standards? Was I
"educated" when I graduated from high school? undergrad college? grad school?
real life experience? Never ...?
Taylor L. Willingham
The Reading Program
Santa Clara County Library
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