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Citation Mellick, D. (2000).
The Craig Handicap Assessment and Reporting Technique - Short
Form. The Center for Outcome Measurement in Brain Injury.
http://www.tbims.org/
combi/chartsf ( accessed
).*

*Note:
This citation is for the COMBI web material. Mr. Mellick is
not the scale author for the CHART-SF.

CHART-SF
Properties

All
CHART subscale scores could be reduced by fewer questions to reach
90% explained variance except Economic Self-Sufficiency, which using
the main variables could only explain 45%. A possible explanation
for the lack of predictive ability for the Economic subscale was
the alarmingly high rate of refusal for economic questions. 40%
of the people failed to respond to either the question about income
or expenditures not covered by insurance. In light of the missing
data, it was determined that those questions would change with the
addition of response categories rather than open-ended questions.
These overall findings show that:

•
Using the fewest number of items to predict the largest amount of
variation explained is a reasonable method for shortening a questionnaire.

• CHART-SF sub-scales closely approximate
the scores of the subscales gathered by the Original CHART.

• CHART-SF takes less time to administer
than the Original CHART

CHART-SF
is a valuable tool for determining handicap for populations in which
time is at a minimum. Although using a tool with fewer items may
decrease the precision for smaller groups, the use of CHART-SF in
larger populations will obviate the lack of precision by the change
in confidence intervals

The
following tables (388K) represents
all the questions asked as a part of CHART by sub-scale and entered
into the regression model. The order of the questions represents
the order the variables entered in the regression, meaning the most
predictive questions are listed first. The percent explained variance
is located on the right side of the tables by R-squared. Each of
the CHART-SF scoring for the indicated variable is located in between
the table and the graph for the respective subscale. Below each
of the tables is a scatter plot of the Original CHART subscale score
by the CHART Short Form subscale score. A 'sunflower' in which each
petal represents one case marks each point. Additionally, a regression
line is shown along with 95% confidence intervals.