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Jan 15, 2002
A bit of
History...
In 1999, I was invited to give a
presentation to school principals by LACASE (Los Angeles County
Administrators in Special Education) on the importance of data
collection. My talk, "The Data Game: How everyone can win!" was
intended to teach them how data collection can enhance the success of
interventions.Coincidentally, that
same week, I read in Investors' Business Daily how the average
Due Process case costs school districts as much as $50,000, and more. I
have personally testified in cases where districts have paid over
$100,000 to settle disputes. What a waste of money!
Too often, I am called into cases where decisions
about needed interventions are based solely on a few observations or
worse, outside reports by individuals who have never seen the child at
school.
Whose on First?
Whether I'm conducting an assessment or
involved in testimony, my goal is to focus on the student's needs and
attempt to avoid "taking sides," regardless of whether I am being paid
by a family or a district.
My role, first and foremost, is to use my
expertise to function as a clinician. To that extent, I feel that
empirically-based educational and behavioral interventions provide the
clearest means for families and districts to jointly determine whether
an individual is benefiting from current interventions.
Without
Data, You're Just Guessing
When I am asked to make recommendations
about Discrete Trial Training, whether one-to-one aides (TSA's) should
be assigned, or whether a Behavior Intervention Plan should be
developed, relying on existing data is essential. Without this
information, it can be difficult to determine what interventions will be
in the best interest of the student.
Keep in mind, the term "least restrictive
setting," implies that the interventions being used are effective.
Without some form of data collection that gives a reasonable picture of
the student's behavior, IEP meetings often degenerate into
a battle of opinions rather than an opportunity to jointly examine
objective information. How can measurable, relevant goals and
objectives be developed if the underlying information is lacking?
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