Not surprisingly, parent socioeconomic status is strongly
predictive of student test scores, and, looking at simple correlations, we find that less - advantaged students do tend to be assigned to teachers with lower VA measures.
Not exact matches
And she found that it's incredibly
predictive, that people are pretty honest about their grit levels and that those who say, «Yes, I really stick with tasks,» are much more likely to succeed, even in tasks that involve a lot
of what we think
of as IQ: She gave the
test to
students who were in the National Spelling Bee and the kids with the highest grit
scores were more likely to persist to the later rounds; she gave it to freshmen at the University
of Pennsylvania and grit helped them persist in college; she even gave it to cadets at West Point and it predicted who was going to survive this initiation called «Beast Barracks.»
Test scores are
predictive of student outcomes, both short - and long - term.
A 2008 study
of graduation patterns in Chicago Public Schools, for example, found that the number
of days
students were absent in eighth grade was eight times more
predictive of freshman year course failure than eighth grade
test scores.
Scores on both tests, in both math and English language arts (ELA), are positively correlated with students» college outcomes, and the differences between the predictive validity of PARCC and MCAS scores are m
Scores on both
tests, in both math and English language arts (ELA), are positively correlated with
students» college outcomes, and the differences between the
predictive validity
of PARCC and MCAS
scores are m
scores are modest.
This is telling, and it brings us back to the two premises (out
of three) that guide the MET project — that value - added measures should be included in evaluations, and that other measures should only be included if they are
predictive of students»
test score growth.
«
Students» misconduct and suspension records in middle school are also not
predictive of high school performance, once we take into account their attendance, grades, and
test scores.
«The Gates Foundation's MET project (much but not all
of which the AFT agrees with) has found that combining a range
of measures — not placing inordinate weight on standardized
test scores — yields the greatest reliability and
predictive power
of a teacher's gains with other
students.
For example, the consortium found that
students» course performance and credits earned in ninth grade are more
predictive of their likelihood
of graduating high school than their race, gender, socioeconomic status, and standardized
test scores combined.
It finds that at subsequent grade levels after redesignation, the one -
test AZELLA becomes less
predictive of academic achievement, That is, the
test over predicts
student achievement, suggesting that many
students may be under - served due to their
scores the
test.
Both
student self - reports and teacher reports were found to be significantly
predictive of student academic and behavioral outcomes, including GPA, state
test scores, suspension rates, and absenteeism.
Their study found attendance and studying more
predictive of dropout than
test scores or other
student characteristics.
[31] All
of the analysts noted the importance
of making sure that
scores on the old
tests are
predictive of students» performance on the new
tests before calculating value - added using data from both
tests.
It's why the use
of VAM (Value Added Measures) can not contribute valid or reliable data to a teacher's effectiveness rating — because VAM is a
predictive model based on comparing a set
of actual
student test scores against a hypothetical group
of scores.