11/21/2007
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Michigan Data Driven Decision-Making Project
Department of Teaching, Learning, and Leadership
Western Michigan University
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Michigan Data Driven Decision-Making Project
Department of Teaching, Learning, and Leadership
Western Michigan University
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Michigan Data Driven Decision-Making Project
Department of Teaching, Learning, and Leadership
Western Michigan University
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Michigan Data Driven Decision-Making Project
Department of Teaching, Learning, and Leadership
Western Michigan University
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Michigan Data Driven Decision-Making Project
Department of Teaching, Learning, and Leadership
Western Michigan University
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In addition, when Richard Ingersoll analyzed the SAS data, he found that these same schls are more likely to have a higher percentage of classes being taught by tchrs without a major or minor in the field for which they are teaching.  The results are particularly striking in high poverty schls where there is a difference of 13 percentage points.
Definitions
High Poverty-A school where 50% or more of the students are eligible for free/reduced price lunch
Low-poverty-A school where 15% or fewer of the students are eligible for free/reduced price lunch
High-minority-A school where 50% or more of the students are nonwhite.
Low-minority-A school where 15% or fewer of the students are nonwhite.
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Schls with higher proportions of poor and minority students have more inexperienced tchrs.  If we take a look at the graph, we see that in high poverty schls almost double the amount of tchrs have less than three years of experience.  The same is also true for high minority schls.
High poverty-top quartile of schools with students eligible for free/reduced price lunch.
Low poverty-bottom quartile of schools with students eligible for free/reduced price lunch.
High minority-top quartile; those schools with the highest concentrations of minority students.
Low minority-bottom quartile of schools with the lowest concentrations of minority students
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