In an e-mail dated 11/19/2001 8:45:34 PM Central Standard Time, Michael 
Atherton noted:

"The variance proportions cited in the report were really 8%, 43%, and 49%,
not 8%, 42%, and 49% as cited in Ms. Johnson's post. And, if you know
anything about statistics and regression models then you should realize that
these proportions of variance are unrealistic.  More on this to come."

Audrey Johnson's response:

"Whoops!  Youv'e got me there Mr. Atherton!  I am not a statistician, just a
liberal arts grad from the 70's and early 80's.  Never was require to take
statistics..."

Audrey Johnson has been sitting on the Minneapolis school board for nearly 
two years now.  The board claims to makes its policy decisions on the basis 
of research.  Audrey Johnson also presents herself as something of an expert 
on educational research (as in her newspaper column).  How can Ms. Johnson 
possibly evaluate that research without knowing something about statistics 
and regression models?

The report in question is entitled "Doing What matters Most: Investing in 
Quality Teaching," Prepared for the National Commission on Teaching and 
America’s Future, by Linda Darling-Hammond, Nov. 1997 
<http://www.tc.columbia.edu/nctaf/publications/doing.html>

Referring to that report, Audrey Johnson said "...research shows that student 
achievement can be accurately measured as follows: 49% attributed to parent 
involvement and about 42% teacher quality, and about 8% to class size."

I can't open pdf files on my computer, so I didn't see the full report. 
However, an extract of the report by Linda Darling-Hammond that can be read 
on-line says: 

" ...In combination, differences in teacher expertise and class sizes 
accounted for as much of the measured variance in achievement as did student 
and family background factors..."  

The report says student and family background factors accounted for roughly 
half of the measured variance in academic achievement, not "parental 
involvement."  The report also measures "teacher expertise," not "teacher 
quality."  

In a E-mail dated November 11, I said:

"I expect the type of study to which Audrey Johnson refers would attribute at 
least 10 to 20% of test score variability to unknown or unmeasurable factors, 
some to household income, some to mobility (changing schools), and so forth.  
There may be a fairly high correlation between test score variability and 
parent involvement as it is measured by the Minneapolis Public Schools.  But 
even a very strong statistical association between two factors does not 
necessarily mean that one factor is the cause of the other."

I'm sure that I've seen or heard of studies that attribute about 8% of test 
score variability to the difference between small (less than 17) and regular 
(about 25) class sizes.  And 42% would be in the ball park for studies of 
teacher efficacy.  However, teacher efficacy is typically measured as years 
of teaching experience, with adjustments for special training and 
certifications.  If other factors that effect the quality of teaching are 
taken into account, they would be evaluated independently of teaching 
experience and qualifications."  

In the extract from "What Matter Most" cited above, Linda Darling-Hammond 
says,
 
"In an analysis of 900 Texas school districts, Ronald Ferguson found that 
teachers’ expertise—as measured by scores on a licensing examination, 
master’s degrees, and experience—accounted for about 40% of the measured 
variance in students’ reading and mathematics achievement at grades 1 through 
11, more than any other single factor. He also found that every additional 
dollar spent on more highly qualified teachers netted greater increases in 
student achievement than did less instructionally focused uses of school 
resources (see figure 4 in full report).

The effects were so strong, and the variations in teacher expertise so great 
that, after controlling for socioeconomic status, the large disparities in 
achievement between black and white students were almost entirely accounted 
for by differences in the qualifications of their teachers. An additional 
contribution to student achievement was made by lower pupil-teacher ratios in 
the elementary grades. In combination, differences in teacher expertise and 
class sizes accounted for as much of the measured variance in achievement as 
did student and family background factors."

-Doug Mann

Doug Mann for School Board web site:
<http://educationright.tripod.com>
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